Pytorch implementation of the PVDN dataset.


GPU Framework for Radio Astronomical Image Synthesis


A high-performance distributed deep learning system targeting large-scale and automated distributed training.


A Free and Open Source Python Library for Multiobjective Optimization


Open source lung ultrasound (LUS) data collection initiative for COVID-19.


The National Renewable Energy Laboratory Wind Analysis Libray (NRWAL)


Multiblob method for rigid bodies


Quantitative Pathology


SmartR


QALD sources (data, website, documents, scripts) https://qald.aksw.org/


GluonTS - Probabilistic Time Series Modeling in Python


Official QEMU mirror. Please see https://www.qemu.org/contribute/ for how to submit changes to QEMU. Pull Requests are ignored. Please only use release tarballs from the QEMU website.


A collection of Jupyter notebooks showing how to use the Qiskit SDK


Checking that functions are constant time with Valgrind


This is a code repository for paper OODformer: Out-Of-Distribution Detection Transformer


A deepfake detector that provides 35 different deepfake detection methods.


A package of documentation and software supporting MATLAB/Simulink based dynamic modeling and simulation of quadcopter vehicles for control system design


Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow"  https://openreview.net/pdf?id=SkgsACVKPH


hacked ported version for octave from the  borre/akos code


Code for 1st place solution to Kaggle's Abstraction and Reasoning Challenge


Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)


Phonetic and phonological vocoding platform


Zhu, Wentao, Qi Lou, Yeeleng Scott Vang, and Xiaohui Xie. "Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification." MICCAI 2017.


Traffic dataset USTC-TFC2016


[CVPR 2022 - Demo Track] - Effective conditioned and composed image retrieval combining CLIP-based features


Code for Neural Arithmetic Units (ICLR) and Measuring Arithmetic Extrapolation Performance (SEDL|NeurIPS)


Multi-Hop Logical Reasoning in Knowledge Graphs


The source code of HeCo


IJCAI-Personalized Federated Learning with Graph


Code for Aesop: Paraphrase Generation with Adaptive Syntactic Control (EMNLP 2021)


[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"


Code for the paper "Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning" (NeurIPS 20)


Dialog State Tracking Challenge 2 & 3 Data


Dogs classification with Deep Metric Learning


A Pytorch implemention for some state-of-the-art models for" Temporally Language Grounding in Untrimmed Videos"


A Tensorflow implementation of the Deep Listwise Context Model (DLCM) for ranking refinement.


Generative Adversarial Interpolative Autoencoder (GAIA) is a Generative Adversarial Network (GAN) made up of Autoencoders (AE) trained explicitly on interpolations to promote convexity and better latent interpolations.


Dynamic Analysis for Concurrent Programs


Official implementation of "Surgical-VQLA: Transformer with Gated Vision-Language Embedding for Visual Question Localized-Answering in Robotic Surgery", ICRA 2023.


tensor-tensor product toolbox


Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)


Universal Adversarial Perturbations (UAPs) for PyTorch


In this  repository  using the sparse training, group channel pruning and  knowledge distilling for  YOLOV4,


Single Hyperspectral Image Denoising, Inpainting, Super-Resolution


Code for density estimation with nonparametric cluster shapes.


Implementation of CenterNet and FairMOT with PyTorch Lightning


Numerical illustration of a novel analysis framework for consensus-based optimization (CBO) and numerical experiments demonstrating the practicability of the method


Authors' PyTorch implementation of lossy image compression methods that are based on hierarchical VAEs


This is the second version of the practices for the rookies of BJTUNLPers.


R package for comparing mixture solutions to similarity data, with a focus STRUCTURE like models to ChromoPainter palettes


Online Matrix/Tensor Factorization and applications to Network Dictionary Learning and images


Korean grapheme-to-phone conversion in Python


Granger causality discovery for neural networks.


An Enhanced Lesk Word Sense Disambiguation Algorithm through a Distributional Semantic Model


Automatic code generation of Fast Multipole and Barnes-Hut operators


This is an implementation demo of the ICLR 2021 paper [Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks](https://openreview.net/pdf?id=9l0K4OM-oXE) in PyTorch.


High-order countermeasures for AES and DES


Code for the emrQA question answering dataset


[ICLR 2022] Official repository for "Robust Unlearnable Examples: Protecting Data Against Adversarial Learning"


Unified Model Interpretability Library for Time Series


Exploiting ConvNet Diversity for Flooding Identification -- Flood Detection in Satellite Images [FDSI] -- [2017 Multimedia Satellite Task]


Python implementation of Geometric Dataset Distances via Optimal Transport


Relationship and Entity Extraction Evaluation Dataset


Pretrained model for self supervised histopathology


computation of convolutional kernels (CKN and NTK) in C++


Friends of Friends cluster finding in python.


Mining Discourse Markers for Unsupervised Sentence Representation Learning


Data for evaluating gender bias in coreference resolution systems.


WaveNet for the separation of audio sources


Commonsense Ability Tests


Blind Model-Based Fusion of Multi-band and Panchromatic Images


A rewrite of hanabi-bot in Scala


Learning with Noisy Labels by adopting a peer prediction loss function (deep learning & multi-class version).


[CVPR 2023] CMT: Contrastive Mean Teacher for Domain Adaptive Object Detectors


Code for "Investigating and Simplifying Masking-based Saliency Methods for Model Interpretability" (https://arxiv.org/abs/2010.09750)


Imfit: an open-source astronomical image-fitting program.


Discovering directional relations via minimum predictive information regularization


CPU/GPU/TPU implementation of the Inception Score


Machine learning and deep learning resources


We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness of OOD detection to various types of adversarial OOD inputs and establishes state-of-the-art performance.


Code release for "Rethinking Pseudo-LiDAR Representation (ECCV2020)".


A MinION-based pipeline for tracking species biodiversity


Codebase for Attentive Neural Hawkes Process (A-NHP) and Attentive Neural Datalog Through Time (A-NDTT)


Implementation of various state of the art architectures used in computer vision.


Notes on single-cell Hi-C technologies, tools, and data


Naver sentiment movie corpus


Pytorch code for Deep Kronecker-Product Matching and Group-shuffling Random Walk for Person Re-ID [TPAMI]


Control and design of two-photon photostimulation experiments


Electricity-Theft Detection in Smart Grids


Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"


Time-Scale Modification For MATLAB


DenseCL + regionCL-D


A Pytorch implementation of missing data imputation using optimal transport.


A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).


An approximate sequence pattern matcher for FASTQ/FASTA files.


StoRM: A Diffusion-based Stochastic Regeneration Model for Speech Enhancement and Dereverberation


Sloika is Oxford Nanopore Technologies' software for training neural network models for base calling


Deep learning models for remote sensing applications


Implementation of "Audio Retrieval with Natural Language Queries", INTERSPEECH 2021, PyTorch


An automated assembly pipeline for microbial genomes


Code and resources for evaluating cross-lingual embedding spaces


Repository for SLURP paper


Implementation of CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning


Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC,  the decentralised micromanagement scenario of StarCraft II


A prediction model for differential gene expression (DE) based on genome-wide regulatory interactions


Tools for the generation, analysis and visualisation of complex networks in hyperbolic space.


JumpDiff: Non-parametric estimator for Jump-diffusion processes for Python


A non-intrusive objective metric for speech quality and intelligibility for normal hearing listeners and cochlear implant users


Multimodal Semi-Supervised Learning for Text Recognition (SemiMTR)


A Tensorflow implementation of the paper arXiv:1604.03539


rGAN: Label-Noise Robust Generative Adversarial Networks


NMF Code for calculating components from Brain imaging data.


Official implementation of Learning The Pareto Front With HyperNetworks [ICLR 2021]


Visual Memorability for Robotic Interestingness via Unsupervised Online Learning (TRO 2021 and ECCV 2020 Oral)


A simple yet versatile toolkit to setup quantum mechanical/molecular mechanical (QM/MM) calculations from molecular dynamics trajectories.


Implementation of Glow in PyTorch


Code for the paper "Smart 'Predict, then Optimize'"


Official implementation of our work, GATE: Graph Attention Transformer Encoder for Cross-lingual Relation and Event Extraction [AAAI 2021].


Implementation of the SoftAdapt paper (techniques for adaptive loss balancing of multi-tasking neural networks)


Code for : [Pattern Recognit. Lett. 2021] "Learn to cycle: Time-consistent feature discovery for action recognition" and [IJCNN 2021] "Multi-Temporal Convolutions for Human Action Recognition in Videos".


PyTorch code for ICLR 2019 paper: Global-to-local Memory Pointer Networks for Task-Oriented Dialogue https://arxiv.org/pdf/1901.04713


A tool for single-cell data analysis.


Publicly available code from my publications


lightspeed matlab toolbox


A generalized score-based method for Causal Discovery


Code for Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot


Repository that accompanies "An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction" (EMNLP 2019)


Datasets for Question Answering by Search and Reading


Import Air Quality Monitoring Data in a Fast and Easy Way


Miscellaneous scripts


A Matlab package for Bayes Factor statistical analysis


FlexCFL: A clustered federated learning framework based on TF2.0.  Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.


Accompanying code for AAAI 2021 publication - High-Dimensional Bayesian Optimization via Tree-Structured Additive Models


Experiment for lsat


The code of our paper "SIFRank: A New Baseline for Unsupervised Keyphrase Extraction Based on Pre-trained Language Model"


[ICML 2021] "Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training" by Shiwei Liu, Lu Yin, Decebal Constantin Mocanu,  Mykola Pechenizkiy


White-box Fairness Testing through Adversarial Sampling


MATLAB code for performing the coalescent embedding


Generates Martini models for open carbon nanotubes to use with Gromacs.


A collection of optimization algorithms for maximizing unconstrained submodular set functions.


Data and code supporting Hansen et al., 2022 "Mapping neurotransmitter systems to the structural and functional organization of the human neocortex"


Temporal IMLinUCB - a solution for Online Influence Maximization problem in Temporal Networks (based on IMLinUCB)


Utilities for Processing the Meeting Recorder Dialogue Act Corpus


Machine translation (MT) benchmark dataset for languages in the Horn of Africa.


:headphones: lead sheet datasets in various formats


Double Machine Learning for Multiple Treatments


Supplementary content for the U.S. Life Cycle Inventory Database


Python based multi-component SED fitting package


Yet another PyTorch implementation of Tacotron 2 with reduction factor and faster training speed.


Face Liveness Detection (Face Anti Spoofing) Server SDK


Deep Probabilistic Imaging (DPI): Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging


Long term rotation period finding tool for NASA's TESS mission


Max Mahalanobis Training (ICML 2018 + ICLR 2020)


Code for all experiments.


MoCo with Alignment and Uniformity Loss.


[NeurIPS 2022] Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach -- Official Implementation


multiplicatively convolutional fast integral transforms


Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.


Plot research data from Svalbard on maps


Official PyTorch implementation of "Railroad is not a Train: Saliency as Pseudo-pixel Supervision for Weakly Supervised Semantic Segmentation", CVPR2021


ISBI2018: Adversarial Deep Structural Networks for Mammographic Mass Segmentation https://arxiv.org/abs/1612.05970


Photometric Classification of Astronomical Transients and Variables With Biased Spectroscopic Samples


Population genetics analyses


MoEL: Mixture of Empathetic Listeners


This repository contains the collection of UCI (real-life) datasets and Synthetic (artificial) datasets (with cluster labels and MATLAB files) ready to use with clustering algorithms.


Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)


This repo is to provide a list of literature regarding Deep Learning on Graphs for NLP


Continuous CBS - a modification of conflict based search algorithm, that allows to perform actions (move, wait) of arbitrary duration. Timeline is not discretized, i.e. is continuous.


A fast and flexible convex optimization framework based on proximal splitting


[NAACL'21 & ACL'21] SapBERT: Self-alignment pretraining for BERT & XL-BEL: Cross-Lingual Biomedical Entity Linking.


Python wrapper for MaxEntScan to calculate splice site strength.


Evaluation Measures for the BioASQ project


A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network (NAACL 2018) (Pytorch and Tensorflow)


GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)


(CVPR 2022) Energy-based Latent Aligner for Incremental Learning


Code to create Stylized-ImageNet, a stylized version of standard ImageNet (ICLR 2019 Oral)


EMNLP 2022: "MABEL: Attenuating Gender Bias using Textual Entailment Data" https://arxiv.org/abs/2210.14975


A Bayesian classifier to identify members of the 27 nearest young associations within 150 pc of the Sun


Language family classifications as Newick trees


A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming


Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening


NTIRE 2019 submission repository


DCEKit (Data Chemical Engineering toolKit)


Implementation of Neural PLDA (NPLDA) model (A discriminative backend for Speaker Verification)


The implementation that infers the temporal latent spaces for a sequence of dynamic graph snapshots


Code and data of the ACL 2020 paper "Word-level Textual Adversarial Attacking as Combinatorial Optimization"


Implementation of the Louvain algorithm for community detection with various methods for use with igraph in python.


Gaussian processes and Bayesian optimization for images and hyperspectral data


Database of galactic novae


Creative Commons Attribution 4.0 International

A collection of data that was liberated from their publications


Official GitHub repository for the Text-Guided Video Editing (TGVE) competition of LOVEU Workshop @ CVPR'23.


ProPara (Process Paragraph Comprehension) dataset and models


Public Available Code and Data to Reproduce Analyses in "Air pollution and COVID-19 mortality in the United States: Strengths and limitations of an ecological regression analysis."


Collection of scripts for working with Wiggle files and analyzing sequencing data


Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.


Repository containing Pytorch code for EKFAC and K-FAC perconditioners.


A curated resource list of adversarial attacks and defenses for Windows PE malware detection.


bioinformatics toolkit in rust


1D synchrosqueezed wave packet transforms (SSWPT):    Analyzing instantaneous properties (instantaneous frequencies, phases and amplitudes) of non-linear oscillatory signals in a superposition. 2D synchrosqueezed curvelet transform (SSCT):     Anlayzing local properties of non-linear oscillatory textures in a superposition.


This is a project to demonstrate NLP API from LanguageTool for Ukrainian language.


Source code and dataset for ACL 2019 paper "ERNIE: Enhanced Language Representation with Informative Entities"


Deep learning for deforestation classification and forecasting in satellite imagery


[MICCAI'21 & TMI'23] RibSeg Dataset and Point Cloud Baselines for Rib Segmentation from CT Scans


Spot the conversation: speaker diarisation in the wild


Open-source benchmark datasets and pretrained transformer models in the Filipino language.


Code for replicating the work in "Targeted Syntactic Evaluation of Language Models." EMNLP 2018.


The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning workflows.


A uniform interface to astronomical selection functions of the major surveys.


Khmer  language processing toolkit


Code and data for paper Colorless Green Recurrent Networks Dream Hierarchically


Quantitative Information Flow library for python and C++.


A multi-domain task-oriented dataset enhanced with annotation corrections and co-reference annotation


A speedy Rust port of PyZX


Code for localizing variable star signatures in TESS Photometry


A deep learning model for classifying audio frames into [SPEECH, KCHI, CHI, MAL, FEM] classes.


Partially Observable Process Gym


Code for our nips19 paper: You Only Propagate Once: Accelerating Adversarial Training Via Maximal Principle


Dynamic Robot Instruction Following


Python quantum signal processing


Libraries to analyze numerical simulations (python3)


Crowd Sourced Emotional Multimodal Actors Dataset (CREMA-D)


Machine-Translation-based sentence alignment tool for parallel text


MultiNest is a Bayesian inference tool which calculates the evidence and explores the parameter space which may contain multiple posterior modes and pronounced (curving) degeneracies in moderately high dimensions.


DFT optimised crystal structures of inorganic and hybrid halide perovskites


Leaked Mirai Source Code for Research/IoC Development Purposes


Protein Language Model


Fedstellar: A Platform for Decentralized Federated Learning


An R package for single-cell gene signature scoring


Morfessor is a tool for unsupervised and semi-supervised morphological segmentation


A generic parser and tool package for the BTOR2 format.


FlexiGIS: Open source GIS-based platform for the optimisation of flexibility options in urban areas


[NeurIPS 2022]  Official repository of paper titled "Bridging the Gap between Object and Image-level Representations for Open-Vocabulary Detection".


CryoGrid is a one-dimensional land surface model  dedicated to simulate ground temperatures in permafrost environments.


CodeBase for Paper: "Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers", / Interactive Demo @


Scripts to evaluate scoped meaning representations


[IEEE JBHI] Reinventing 2D Convolutions for 3D Images - 1 line of code to convert pretrained 2D models to 3D!


A Python Library for modeling combinatorial constrained problems


This repository contains code and metadata of How2 dataset


Auto-differentiable strong lens modelling with JAX


Gradient boosted models (the old gbm package)


APT – Analysis of Petri nets and labelled transition systems


NIMH Macaque Template


Automated lung segmentation in CT


A neural network architecture for NLP tasks, using cython for fast performance. Currently, it can perform POS tagging, SRL and dependency parsing.


OpenConcept: A toolkit for conceptual MDAO of aircraft with unconventional propulsion architectures


A repository of data on coronavirus cases and deaths in the U.S.


A MATLAB software for the analysis of digital elevation models -


Snow and ice albedo modelling in Python


A Baseline for Multilingual Sentiment Analysis


POET pipeline for reduction of Spitzer data


GO enrichment with python -- pandas meets networkx


SPINN (Stack-augmented Parser-Interpreter Neural Network): fast, batchable, context-aware TreeRNNs


Basic operations on the space of numerical functions defined on the genome using lazy evaluators for flexibility and efficiency


A collection of astronomy-related routines in Python


A collection of multi agent environments based on OpenAI gym.


PeTar is a high-performance N-body code for modelling the evolution of star clusters and tidal streams, including the effect of galactic potential, dynamics of binary and hierarchical system, single and binary stellar evolution.


A curated list of research, applications and projects built using the H2O Machine Learning platform


kapture is a file format as well as a set of tools for manipulating datasets, and in particular Visual Localization and Structure from Motion data.


Your Unified Reader


PyPSA-Eur-Sec: A Sector-Coupled Open Optimisation Model of the European Energy System


OpenVINO Training Extensions Object Re-identification


An Open Toolkit for Knowledge Graph Extraction and Construction published at EMNLP2022 System Demonstrations.


Processed datasets that we have used in our research


PyTorch Implementation of TranSpeech (ICLR'23): Textless NAR Speech-to-Speech Translation with Bilateral Perturbation


PyTorch implementation of Structure Aware Negative Sampling in Knowledge Graphs


E2E NLG Challenge Evaluation metrics


Bayesian Optimization of Combinatorial Structures


Evaluation metrics for image segmentation inspired by paper Fully Convolutional Networks for Semantic Segmentation


Static analysis tool for Hyperledger Frabric smart contracts written in Go.


Code (in Matlab and R) to perform a spherical rotation (permutation) of a parcellated cortical map.


Fpop implementation for robust losses


AnomalyDAE (ICASSP2020)


[VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.


EfficientNet, MobileNetV3, MobileNetV2, MixNet, etc in JAX w/ Flax Linen and Objax


Official implementation of the Generalized Wasserstein Dice Loss in PyTorch


[NeurIPS 2023, ICMI 2023] Quantifying & Modeling Multimodal Interactions


A custom Rouge wrapper for summary evaluation.


Simultaneous NMT/MMT framework in PyTorch


TMM package for offline ocean biogeochemical simulations


Modelling the Language of Life - Deep Learning Protein Sequences


BERT and ELECTRA models trained on Europeana Newspapers


Code and dataset of AAAI2019 paper Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification


Siamese Keypoint Prediction Network for Visual Object Tracking


A challenging, in the wild dataset for experimentation with face masks with 63,072 face images.


[TMC 2024 Major Revision] FedCache: A Knowledge Cache-driven Federated Learning Architecture for Personalized Edge Intelligence


Implementation of various Distributional Reinforcement Learning Algorithms using TensorFlow2.


Conceptual 12M is a dataset containing (image-URL, caption) pairs collected for vision-and-language pre-training.


Reproducing the Image Super-Resolution via Iterative Refinement paper.


Deep neural network kernel for Gaussian process


Experiments for the Neural Autoregressive Flows paper


The Continual Learning App


Pytorch Implementation for Graph Convolutional Neural Networks


ResNet-18 Caffemodel @ilsvrc12 shrt 256 with Top-1 69% Top-5 89%


modified aa.bst with clickable url link in the bibliography


[ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision


A Chinese KBQA dataset with SPARQL annotations.


The official implementation of ACL 2023 paper "Label-Aware Hyperbolic Embeddings for Fine-grained Emotion Classification."


linelist generator


10x single cell RNA-seq data from the developing mouse retina


Preference Transformer: Modeling Human Preferences using Transformers for RL (ICLR2023 Accepted)


PyTorch implementation of FQF, IQN and QR-DQN.


Variable rate with MAE


Neural Style Transfer For Chinese Characters


Efficient Segmentation for Volumetric Data


tensorflow-as-gcn


Learning Framework for Neural Abstractive Text Summarization


Corpora for evaluating NLU services (like API.ai, RASA, Microsoft LUIS, ...)


To Trust Or Not To Trust A Classifier. A measure of uncertainty for any trained (possibly black-box) classifier which is more effective than the classifier's own implied confidence (e.g. softmax probability for a neural network).


Sliced Wasserstein Generator


WSDM'22 Best Paper: Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval


This is outdated -- New version: https://github.com/boyangumn/DCN-New


Bayesian pRF toolbox for SPM


Pretrained BERT model & WordPiece tokenizer trained on Korean Comments 한국어 댓글로 프리트레이닝한 BERT 모델과 데이터셋


Recurrent Neural Network for generating piano MIDI-files from audio (MP3, WAV, etc.)


Official PyTorch implementation of Speaker Conditional WaveRNN


Munge GenBank files into FASTA and tab-separated metadata


Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"


SCADA data pre-processing library for prognostics, health management and fault detection of wind turbines. Successor to https://github.com/lkev/wt-fdd


Light Field Saliency Detection with Deep Convolutional Networks


knot theory and computational algebra software


A pytorch toolbox designed for experimentation using a generalization of the Resnet design.


The implementation of ProxyNCA++.


Quantitative analysis of cell motility behaviors


NeurIPS 2020, "A Topological Filter for Learning with Label Noise".


A learning curve benchmark on OpenML data


The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"


A repository for implementing graph network models based on atomic structures.


Spatially Transformed Adversarial Examples with TensorFlow


A deep-learning network for all-time cloud segmentation.


The official implementation of our work CoSDA: Continual Source-Free Domain Adaptation.


Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions"  (ICLR 2019)


Calculate GC% and GC deviation for circular genomes


Equivalent Latitude and  polar vortex edge calculation using Nash criteria


PyTorch re-implementation of Grad-CAM (+ vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps)


The re-implementation of Smooth Grad-CAM++ with pytorch


Code for the paper "Training Binary Neural Networks with Bayesian Learning Rule


The project page of paper: CPM-Nets: Cross Partial Multi-View Networks [NeurIPS 2019 Spotlight paper]


PyTorch code to run synthetic experiments.


TuckER: Tensor Factorization for Knowledge Graph Completion


GEOM: Energy-annotated molecular conformations


This repository is an extension of GAN based speech enhancement called SEGAN, and we present two modifications to make model training more robust and stable.


Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"


R package for inferring copy number from read depth


Implementations of various published works on self-supervised learning approaches to biosignal feature extraction.


See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN


This repository contains the code for the paper On Episodes, Prototypical Networks, and Few-shot Learning


Implementation of Random Expert Distillation


A framework for automatic speech recognition


Easy to use Beamformers for multi-channel speech separation/enhancement


Official implementation of "On GANs and GMMs"


ipole (master, originally published), ipole-v2.0 (v2.0 is more compact with additional features). This is the original repository for the ipole code.


Short Text Topic Modeling


Gated Path Planning Networks (ICML 2018)


DeVIS: Making Deformable Transformers Work for Video Instance Segmentation


PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.


This repository contains the main baselines introduced in WSSTG (ACL 2019).


Wilcox' Robust Statistics


MAPF-LNS2: Fast Repairing for Multi-Agent Path Finding via Large Neighborhood Search


UmBERTo: an Italian Language Model trained with Whole Word Masking.


All-resolutions Inference for M/EEG in Python


DRUM end to end differentiable rule mining on knowledge graphs


Official Implementation of ICML 2019 Unsupervised label noise modeling and loss correction


DrQ: Data regularized Q


CoNLL 2016 Shared Task in English and Chinese Shallow Discourse Parsing


UMT is a unified and flexible framework which can handle different input modality combinations, and output video moment retrieval and/or highlight detection results.


Repository with the code and data for all figures from Chapter 9 of the IPCC AR6


R functions to work with air pollution data


A python pipeline to identify IS (Insertion Sequence) elements in genome and metagenome


Source Code for IJCAI 2018 paper "Scalable Multiplex Network Embedding"


[SIGIR 2022] Multi-CPR: A Multi Domain Chinese Dataset for Passage Retrieval


Change-Based Exploration Transfer


AttGAN: Facial Attribute Editing by Only Changing What You Want (IEEE TIP 2019)


NAACL 2021 - Progressive Generation of Long Text


Datumbox is an open-source Machine Learning framework written in Java which allows the rapid development of Machine Learning and Statistical applications.


Estimate the total emissions for popular CryptoArt platforms.


Automatically exported from code.google.com/p/dipha


Original Caffe Version for LightCNN-9. Highly recommend to use PyTorch Version (https://github.com/AlfredXiangWu/LightCNN)


This repository provides code for "On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness".


Robustness and adaptation of ImageNet scale models. Pre-Release, stay tuned for updates.


Deep Neural Decision Trees


Supplementary material for paper "SynC: A Unified Framework for Generating Synthetic Population with Gaussian Copula"


Retrieve recipes from foodie pictures using Deep Learning and Pytorch


Deep Inversion Validation Library


A wide variety of research projects developed by the SpokenNLP team of Speech Lab, Alibaba Group.


:package: Interface to the World Database on Protected Areas (WDPA)


FAMIE: A Fast Active Learning Framework for Multilingual Information Extraction


A Three Party MPC framework for Machine learning and Databases


Virtual-Taobao simulators with OpenAI Gym interface


A simple single molecule tracking pipeline with a graphic user interface for quality control.


Official PyTorch implementation of "AASIST: Audio Anti-Spoofing using Integrated Spectro-Temporal Graph Attention Networks"


CWL implementation of CloudNeo: A cloud pipeline for identifying patient-specific tumor neoantigens


PyTorch implementation of some attentions for Deep Learning Researchers.


Fork of the GEM project (https://github.com/facebookresearch/GradientEpisodicMemory) including Meta-Experience Replay (MER) methods from the ICLR 2019 paper (https://openreview.net/pdf?id=B1gTShAct7)


Tensorflow code to train TDLM


Positively Split Ewald


Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric


Code for the CRAC 2021 paper "On Generalization in Coreference Resolution" (Best short paper award)


Single sample Gene Set Enrichment analysis (ssGSEA) and PTM Enrichment Analysis (PTM-SEA)


Set of commonly used functions in photovoltaics


Pymol ScrIpt COllection (PSICO)


Sparse Cooccurence Network Investigation for Compositional data


Word to Gaussian Mixture Model


Radiative transfer code Dusty


Coconut: Threshold Issuance Selective Disclosure Credentials with Applications to Distributed Ledgers.


Tools for Cosmic Web Imager Data


Multiscale Solar Water Heating


Turbospectrum v20 with NLTE capability


Human-free quality estimation of document summaries


OpenStaticAnalyzer is a source code analyzer tool, which can perform deep static analysis of the source code of complex systems.


T2 Temporal Prover


Unicoder model for understanding and generation.


Pyproffit is a Python code for the analysis of X-ray brightness profiles from clusters of galaxies


A power network simulator with a Reinforcement Learning-focused usage.


An R Interface to the Daymet Web Services


PINpointing Orbit Crossing Collapsed Hierarchical Objects


Examples, tutorials and use cases for Marian, including our WMT-2017/18 baselines.


A PyTorch-powered differentiable image reconstruction/optimization toolbox


Automagically generate thumbnails, animated GIFs, and summaries from videos


Get assembly statistics from FASTA and FASTQ files


Open Generation, Storage, and Transmission Operation and Expansion Planning Model with RES and ESS (openTEPES)


Tools for working with the @ESAGaia data and related data sets


A code package for calculating modified cosmic ionization and thermal histories with dark matter and other exotic energy injections


Easily download and visualise climate data from CliFlo


Sample Code for Gated Graph Neural Networks


BSD 4-Clause "Original" or "Old" License

mechanoChemML library


R client for the National Phenology Network database API


Build Hierarchical Autonomous Agents through Config. Collaborative Growth of Specialized Agents.


A python based HTML to text conversion library, command line client and Web service.


A research protocol for deep graph matching.


Tumor genotyper,  that detects SNV, absolute CNV and Tumor contents


R package to access DoRothEA's regulons


Python implementation of Bayesian Knowledge Tracing and extensions


IPv6 attack toolkit


Neural style in TensorFlow!


[Tool] For Knowledge Graph Representation Learning


A Python library for amortized Bayesian workflows using generative neural networks.


SFINCS: the Stellarator Fokker-Planck Iterative Neoclassical Conservative Solver


A high-quality speech analysis, manipulation and synthesis system


Mirror of LALSuite, please use official GitLab repository.


Source code for testing the Row Hammer error mechanism in DRAM devices. Described in the ISCA 2014 paper by Kim et al. at http://users.ece.cmu.edu/~omutlu/pub/dram-row-hammer_isca14.pdf.


Ruby implementation of Boldyreva's order-preserving encryption scheme


Library to simplify autograd computations in PyTorch


Official repository for the paper "A Modern Self-Referential Weight Matrix That Learns to Modify Itself" (ICML 2022 & NeurIPS 2021 Deep RL Workshop) and "Accelerating Neural Self-Improvement via Bootstrapping" (ICLR 2023 Workshop)


This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".


End-to-end speech recognition on AISHELL dataset.


Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)


Structure-Aware Residual Pyramid Network for Monocular Depth Estimation IJCAI 2019


BERT for question answering starting with HotpotQA


Code and models for the paper "Questions Are All You Need to Train a Dense Passage Retriever (TACL 2023)"


A framework for developing interactive data exploration applications in genomics and systems biology.


Deep domain adaptation networks (DDAN) library for Python with TensorFlow.


A repository containing 300D character embeddings derived from the GloVe 840B/300D dataset, and uses these embeddings to train a deep learning model to generate Magic: The Gathering cards using Keras


Code for "Adversarial-Learned Loss for Domain Adaptation"(AAAI2020) in PyTorch.


A flexible Chemical Evolution model in python


code for TCL: Vision-Language Pre-Training with Triple Contrastive Learning, CVPR 2022


White blood cell (WBC) image datasets


Benchmarks for the Unit Commitment Problem


repository for Universal Domain Adaptation through Self-supervision


Technical document that specifies 0x protocol.


MEND: Fast Model Editing at Scale


SCAFFOLD and FedAvg implementation


Repository for EMNLP 2022 Paper: Towards a Unified Multi-Dimensional Evaluator for Text Generation


Corpus of Russian news articles collected from Lenta.Ru


Data repository for my blog series on microprocessor trend data.


An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model


Weather and climate graphics for science communication


A framework for creating linguistic experiments


Utilities to perform Uncertainty Quantification on Keras Models


Tests for the equality of coefficients of variation from multiple groups


Cycles agroecosystem model


processing 10x genomics reads


Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version


Simplified code for our paper "GDumb: A Simple Approach that Questions Our Progress in Continual Learning". Easily extensible to various settings, datasets and architectures.


PyTorch toolbox for matrix product state models


Domain Adaptive Faster R-CNN in Detectron


Test-time Prompt Tuning (TPT) for zero-shot generalization in vision-language models (NeurIPS 2022))


Implementation of Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.


A Matlab implementation for automatic segmentation with a graphical user interface


A fast and great parser


MultiTask Environments for Reinforcement Learning.


Official repository to release the code and datasets in the paper "Mining Dual Emotion for Fake News Detection", WWW 2021.


Data and Code for Reproducing "Global Relational Models of Source Code"


Hierarchical Recurrent Encoder Decoder for Query Suggestion


[NeurIPS 2020, Spotlight] State-Adversarial DQN (SA-DQN) for robust deep reinforcement learning


Official PyTorch implementation of "Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning" (AAAI 2021)


Evaluation of semi-supervised learning on challenging datasets


Improved Precision and Recall Metric for Assessing Generative Models - Unofficial Pytorch Implementation


Codes for AAAI'21 paper 'Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation'


The implementation of the papers on dual learning of natural language understanding and generation. (ACL2019,2020; Findings of EMNLP 2020)


Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization


TTC: A high-performance Compiler for Tensor Transpositions


MAB-Malware an open-source reinforcement learning framework to generate AEs for PE malware. We model this problem as a classic multi-armed bandit (MAB) problem, by treating each action-content pair as an independent slot machine.


Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net/forum?id=SkeuexBtDr)


Simple is not Easy: A Simple Strong Baseline for TextVQA and TextCaps[AAAI2021]


PrIM (Processing-In-Memory benchmarks) is the first benchmark suite for a real-world processing-in-memory (PIM) architecture. PrIM is developed to evaluate, analyze, and characterize the first publicly-available real-world PIM architecture, the UPMEM PIM architecture. Described by Gómez-Luna et al. (https://arxiv.org/abs/2105.03814).


Few-shot Learning of GPT-3


R package for two-sample Mendelian randomization using the robust adjusted profile score


CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization


Sherlock is a tool for output range anaylsis of Deep Neural Networks with ReLU activation units.


2013 IEEE CEC Competition on Niching Methods for Multimodal Optimization


Randomly subsample sequencing reads to a specified coverage


Evaluation code with models for the paper "On the Quantitative Analysis of Decoder-Based Generative Models"


Bash script to download/update snapshots of files from NCBI genomes repository (refseq/genbank) with track of changes and without redundancy


An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification


Sparse Variational Dropout, ICML 2017


Complete tool for training &  classifying facies on 3D SEGY seismic using deep neural networks


Open Chinese Language Pre-trained Model Zoo


IJCAI 2021 Tutorial & code for Retrospective Reader for Machine Reading Comprehension (AAAI 2021)


[STACOM-MICCAI 2019] Deep Learning Registration for Cardiac Motion Tracking


ManiSkill-Learn is a framework for training agents on SAPIEN Open-Source Manipulation Skill Challenge (ManiSkill Challenge), a physics-rich manipulation skill benchmark with large-scale demonstrations.


Conversion of a BAM alignment to wiggle and bigwig coverage files, with flexible reporting options


A drop-in replacement for CIFAR-10.


Code and Pretrained model for IGCV3


Code and pretrained models for paper: Data-Free Adversarial Distillation


Official repository of STYLER: Style Factor Modeling with Rapidity and Robustness via Speech Decomposition for Expressive and Controllable Neural Text to Speech, INTERSPEECH 2021


Code for the "Grammar Variational Autoencoder" https://arxiv.org/abs/1703.01925


Probabilistic Random Forest: A machine learning algorithm for noisy datasets


Weakly Supervised Medical Images Segmentation


XAI - An eXplainability toolbox for machine learning


GPU-Accelerated Radiative Transfer Code For Exoplanetary Atmospheres


A Knowledge Graph for Relational Learning On Biological Data


This is the data repository for the Imperial College London YouGov Covid 19 Behaviour Tracker Data Hub.


Python interface to Global Diffuse Sky Models (GDSM) for the radio sky between 10 MHz - 5 THz


A data-driven method combining symbolic regression and compressed sensing for accurate & interpretable models.


Fiber Architecture Simulation Toolbox for 3D Polarized Light Imaging


Official repository of DailyTalk: Spoken Dialogue Dataset for Conversational Text-to-Speech, ICASSP 2023 (Oral)


ROUGE automatic summarization evaluation toolkit. Support for ROUGE-[N, L, S, SU], stemming and stopwords in different languages, unicode text evaluation, CSV output.


BAMscale is a one-step tool for either 1) quantifying and normalizing the coverage of peaks or 2) generated scaled BigWig files for easy visualization of commonly used DNA-seq capture based methods.


Predictive Soil Mapping with R (book)


This is an implementation of IBM's Quantum Experience in simulation; a 5-qubit quantum computer with a limited set of gates. Please cite me if you end up using this academically.


ArtGAN + WikiArt: This work presents a series of new approaches to improve GAN for conditional image synthesis and we name the proposed model as “ArtGAN”.


The Language-Integrated Quantum Operations (LIQUi|>) Simulator


Implementation of different summarization algorithms applied to legal case judgements.


Repeats


非常全的文言文（古文）-现代文平行语料


Recurrent Highway Networks - Implementations for Tensorflow, Torch7, Theano and Brainstorm


A flexible framework for anomaly detection in astronomy.


Surfacing Semantic Data from Clinical Notes in Electronic Health Records for Tailored Care, Trial Recruitment and Clinical Research


[NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.


ENCODE Uniform processing pipeline for ChIP-seq


Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data


An R package to analyze, summarize, and visualize daily streamflow data


Computing homology of directed flag complexes (based on https://github.com/Ripser/ripser). Online version: https://homepages.abdn.ac.uk/neurotopology/flagser.html


Stanford Open Information Extraction made simple!


Baseline Recipe for VoicePrivacy Challenge 2020: https://www.voiceprivacychallenge.org/vp2020/docs/VoicePrivacy_2020_Eval_Plan_v1_3.pdf


This is a mirror of https://agit.ai/Polixir/NeoRL.git


Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images, IEEE TMI 2020.


Learning to Rank in PyTorch


Clair: Exploring the limit of using deep neural network on pileup data for germline variant calling


A collection of scripts for working with Hi-C data, Juicebox, and other genomic file formats


ScanFold is an RNA sequence scanning pipeline which attempts to identify potentially functional RNA secondary structures. This is done by first scanning a single input sequence to identify regions which generate negative thermodynamic z-scores (a hallmark of functional RNA sequences), and subsequently identifying the specific base pairs which were responsible for generating the low z-scores.


DeepPrivacy: A Generative Adversarial Network for Face Anonymization


TEXTOIR is a flexible toolkit for open intent detection and discovery. (ACL 2021)


A toolkit for single-cell immune profiling


CCL 2022 汉语学习者文本纠错评测


Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)


semantic segmentation for magnetic resonance imaging


SeDuMi: A linear/quadratic/semidefinite solver for Matlab and Octave


Reduce - tool for adding and correcting hydrogens in PDB files


Tensorflow based deep-learning library.


python library for atomistic machine learning


Seawater carbonate chemistry with R


Use advanced feature engineering strategies and select best features from your data set with a single line of code.


Simple RISC-V 3-stage Pipeline in Chisel


Get and reproduce data from the Propensity to Cycle Tool (PCT)


Intel(R) Machine Learning Scaling Library is a library providing an efficient implementation of communication patterns used in deep learning.


A platform for developing AI systems as described in A Roadmap towards Machine Intelligence - http://arxiv.org/abs/1511.08130


Bitmap & tilemap generation from a single example with the help of ideas from quantum mechanics


Biosignal Processing in Python


TTK data examples


Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.


PyTorch Wildlife: a Collaborative Deep Learning Framework for Conservation.


Implementation for "AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification"


An benchmark for evaluating the capabilities of large vision-language models (LVLMs)


the Weka project with the GUI components removed so it works with Android


PyTorch implementation of GAIL and AIRL based on PPO.


Graph Representation Learning via Graphical Mutual Information Maximization


Implementation and demonstration of the paper: Multi-task Learning for Detecting and Segmenting Manipulated Facial Images and Videos


IRESfinder is a python package for the identification of RNA internal ribosome entry site in eukaryotic cell


Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them


Dataset of medical images, captions, subfigure-subcaption annotations, and inline textual references


TNNLS: A Synergistic Approach for Graph Anomaly Detection with Pattern Mining and Feature Learning; CIKM'20: Error-bounded Graph Anomaly Loss for GNNs.


Simple Keras model that tackles the Stanford Natural Language Inference (SNLI) corpus using summation and/or recurrent neural networks


This technique modifies image data so that any model trained on it will bear an identifiable mark.


An equivalent circuit model (ECM) for a battery cell, module, and pack


Deep Reinforcement Learning for Robotic Grasping from Octrees


Transformer encoder-decoder for emotion detection in dialogues


This repo includes some graph-based CTR prediction models and other representative baselines.


Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; and UAI 2019 Paper: N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification


Multi-task reinforcement learning benchmark.


Disentagnled Graph Collaborative Filtering, SIGIR2020


Accompanying code for 'Self-Supervised Scale Recovery for Monocular Visual Odometry'


COVID-Net Open Source Initiative - Models and Data for COVID-19 Detection in Chest CT


Dot: An interactive dot plot viewer for comparative genomics


Conservative Q Learning on top of SAC


Benchmarking for Biomedical Natural Language Processing Tasks with a Domain Specific ALBERT


Paired REad TEXTure Mapper. Converts SAM formatted read pairs into genome contact maps.


Dream to Control: Learning Behaviors by Latent Imagination


Official implementation of paper Gradient Matching for Domain Generalization


Abbreviation definition dection library trained on PubMed abstracts


Official code for ICML 2022: Mitigating Neural Network Overconfidence with Logit Normalization


Bayesian Analysis for Stellar Evolution


code for MICCAI 2019 paper 'Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation'.


Really Fast End-to-End Jax RL Implementations


2018 Data Science Bowl 2nd Place Solution


Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction


Sample code for Constrained Graph Variational Autoencoders


Whole building non-residential hourly energy meter data from the Great Energy Predictor III competition


This is the official repository for Retrieval Augmented Visual Question Answering


Official PyTorch Implementation of "Synthetic CT Skull Generation for Transcranial MR Imaging–Guided Focused Ultrasound Interventions with Conditional Adversarial Networks"


The code release of paper "AAAI Ultra-High-Definition Low-Light Image Enhancement: A Benchmark and Transformer-Based Method", AAAI 2023


LightXML: Transformer with dynamic negative sampling for High-Performance Extreme Multi-label Text Classiﬁcation


Student Classroom Behavior dataset


Home of the Chunkmogrify project


False discovery rate regression


Diachronic Embedding for Temporal Knowledge Graph Completion


A webpage for the scattering transform. To calculate, you just need the folder called "scattering".


Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.


Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels


PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.


Regularizing Class-wise Predictions via Self-knowledge Distillation (CVPR 2020)


A multi-planet Radial Velocity and Transit modelling software


Implementation of Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL


FaceQAN: Face Image Quality Assessment Through Adversarial Noise Exploration


HMmer Based UndeRstandinG of gene clustERs


:bread: 基于深度学习方法的图像分割（含语义分割、实例分割、全景分割）。


A Data-Driven Graph Generative Model for Temporal Interaction Networks


(ECCV 2020) Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic Segmentation


SurFree: a fast surrogate-free black-box attack


VQVAEs, GumbelSoftmaxes and friends


110k Dutch Book Reviews Dataset for Sentiment Analysis


Repository for all AMR preprocessing and postprocessing scripts


PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks


Connectome Computation System


Symmetry Preserving Attention Networks for Event Reconstruction


Code for the paper "Generating Multi-Categorical Samples with Generative Adversarial Networks"


First Practical and General-purpose Range Filter


State-of-the-Art Language Modeling and Text Classification in Hindi Language


Google DeepLab V3 for Image Semantic Segmentation


Code for: Transforming and Projecting Images into Class-conditional Generative Networks


Tensorflow toolbox implementing several learnable pooling architecture


ICML 2018 Self-Imitation Learning


Smith-Waterman local aligner


Atomic interaction potentials based on artificial neural networks


A compressed, associative, exact, and weighted dictionary for k-mers.


(CVPR 2021) PRTR: Pose Recognition with Cascade Transformers


Conformalized Quantile Regression


WSDM'2021, PROP and SIGIR'2021,B-PROP


Code of ICLR2023 paper "TaskPrompter: Spatial-Channel Multi-Task Prompting for Dense Scene Understanding" and ECCV2022 paper "Inverted Pyramid Multi-task Transformer for Dense Scene Understanding"


The official implementation for  ECCV22 paper: "FOSTER: Feature Boosting and  Compression for Class-Incremental Learning" in PyTorch.


Normalizing flows in PyTorch


BLUE benchmark consists of five different biomedicine text-mining tasks with ten corpora.


A parallel, open-source geothermal flow simulator


An easily extensible C++ library for (suboptimally) computing the graph edit distance between attributed graphs.


Python bindings for YMW16, NE2001 and YT2020 electron density models


Prospective environmental and economic life cycle assessment of vehicles made blazing fast.


Remove problematic gender bias from word embeddings.


Unsupervised Domain Adaptation for Computer Vision Tasks


A Python 3 module that provides functions for splitting identifiers found in source code files.


[CVPR 2022] Official code for "Unified Contrastive Learning in Image-Text-Label Space"


source code for signed graph attention networks (ICANN2019) & SDGNN (AAAI2021)


UnifiedQA: Crossing Format Boundaries With a Single QA System


Differentiable Quantum Chemistry (only Differentiable Density Functional Theory and Hartree Fock at the moment)


[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey


Out-of-the-box code and models for CMU's object detection and tracking system for multi-camera surveillance videos. Speed optimized Faster-RCNN model. Tensorflow based. Also supports EfficientDet. WACVW'20


Main repository for Deep Metric Learning via Lifted Structured Feature Embedding


An extension of XGBoost to probabilistic modelling


Tools and pipelines tailored to using PacBio HiFi Reads for metagenomics


Tool for Rating Interesting Candidate Exoplanets and Reliability Analysis of Transits Originating from Proximate Stars


:package: R/haldensify: Highly Adaptive Lasso Conditional Density Estimation


TensorNet (TensorFlow implementation)


MatchMiner:  An open source computational platform for matching genomic profiles to precision cancer medicine clinical trials


Python Quantum Chemistry Reloaded. This is a rewrite of the standard PyQuante program to clean up things that have been nagging me.


A repository for financial fraud detection


Play deep learning with CIFAR datasets


The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)


Unreal environments for reinforcement learning


Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)


Library for fast spherical harmonic transforms, see http://arxiv.org/abs/1303.4945


STORM movie analysis code


Obtain Word Alignments using Pretrained Language Models (e.g., mBERT)


VDJ assignment and antibody sequence annotation. Scalable from a single sequence to billions of sequences.


Python package for data handling and scenario generation of city districts


Template-based implementation of RANSAC and its variants in C++


The Wren sits on its Roost in the Aviary.


Code for the paper "Quantifying Transfer in Reinforcement Learning"


SONAR, a new multilingual and multimodal fixed-size sentence embedding space, with a full suite of speech and text encoders and decoders.


H2O.ai Machine Learning Interpretability Resources


For shallow-water Lagrangian particle routing.


Perform stellar classifications using isochrone grids


For developing and reproducing ML + HEP projects.


Public version of Horndeski in the Cosmic Linear Anisotropy Solving System


Small collection of tools for performing quality control on coronavirus sequencing data and genomes


High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC


Website for conversationai.github.io


MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research


U-Net Biomedical Image Segmentation


PowerAPI is a Python framework for building software-defined power meters.


SimMobility production repository


Data package: conventional power plants


Matlab implementations of Gaussian processes and other machine learning tools.


Standalone NECI codebase designed for FCIQMC and other stochastic quantum chemistry methods.


[CVPR2021] Domain Consensus Clustering for Universal Domain Adaptation


A Multiclass Weed Species Image Dataset for Deep Learning


Recurrent Marked Temporal Point Processes


A library for drawing space-filling curves like the Hilbert Curve.


10x Genomics Linked-Read Alignment, Variant Calling, Phasing, and Structural Variant Calling


Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings".


Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS 2021 Spotlight https://arxiv.org/abs/2106.03400)


Code for "Multi-Time Attention Networks for Irregularly Sampled Time Series", ICLR 2021.


Pre-training without Natural Images (ACCV 2020 Best Paper Honorable Mention Award)


AutoFIS: Automatic  Feature Interaction Selection in Factorization  Models for  Click-Through Rate Prediction


SpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator (ICCV-W 2019)


Non-parametrics for Causal Inference


U.L.E.M.A. is a MATLAB-based GUI tool (for Windows) for quickly processing motion capture data (C3D files) relative to upper limb movements


A Harder ImageNet Test Set (CVPR 2021)


deepfake dataset collected on the web for deepfake detection


骆驼:A Chinese finetuned instruction LLaMA. Developed by 陈启源 @ 华中师范大学 & 李鲁鲁 @ 商汤科技 & 冷子昂 @ 商汤科技


MUMmer for HPC


TideHunter: efficient and sensitive tandem repeat detection from noisy long reads using seed-and-chain


IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning


This is a repository with the data and code for the ACL 2019 paper "When a Good Translation is Wrong in Context: ..." and the EMNLP 2019 paper "Context-Aware Monolingual Repair for Neural Machine Translation"


[ICCVW 2019] A Global-local Embedding Module for Fashion Landmark Detection


A PyTorch implementation of Context Vector Data Description (CVDD), a method for Anomaly Detection on text.


NIPS2017 challenge


Baseline for the CNLI corpus


Implicit Geometric Regularization for Learning Shapes


[TGRS 2019] Unsupervised Deep Slow Feature Analysis for Change Detection in Multi-Temporal Remote Sensing Images


Material from the DARPA Transparent Computing Program


DVIS: Decoupled Video Instance Segmentation Framework


Training Deep Neural Networks with binary weights during propagations


Dynamic Token Expansion with Continual Transformers, accepted at CVPR 2022


CaRB - A Crowdsourced Benchmark for Open IE


Improving Consistency-Based Semi-Supervised Learning with Weight Averaging


[CVPR2019]Learning Not to Learn : An adversarial method to train deep neural networks with biased data


Workshop and Challenge on  Perceptual Image Restoration  and Manipulation


This repository contains code for the paper: https://arxiv.org/abs/1905.03806. It also contains scripts to reproduce the results in the paper.


Code for the paper "Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks"


MATJAGS, a Matlab interface for JAGS


MT Evaluation in Many Languages via Zero-Shot Paraphrasing


Source code (back-end and front-end) of our main website, which monitors greenhouse gases emissions reports by organizations


A Python package for barycentric rational and polynomial interpolation and approximation.


Code for the paper "VistaNet: Visual Aspect Attention Network for Multimodal Sentiment Analysis", AAAI'19


Flickr-Faces-HQ Dataset (FFHQ)


A pipeline used to identify different modes of duplicated gene pairs


Implementation for "Large-scale Pretraining for Visual Dialog"  https://arxiv.org/abs/1912.02379


R Interface to the Spectra Library for Large Scale Eigenvalue and SVD Problems


reveal the vulnerabilities of SplitNN


Helper scripts for processing and visualization of phylogenetics datasets


Color composite image creation, mostly following the Lupton, Wherry et al (2004) algorithm.


Previously Open Dataset of Electric Vehicle specs. Now part of the Chargeprice API!


A bounded-suboptimal solver for Multi-Agent Path Finding


AraVec is a pre-trained distributed word representation (word embedding) open source project which aims to provide the Arabic NLP research community with free to use and powerful word embedding models.


Parametric Contrastive Learning (ICCV2021) & GPaCo (TPAMI 2023)


Artificial Intelligence Distinguishes COVID-19 from Community Acquired Pneumonia on Chest CT


Text-to-SQL Generation for Question Answering on Electronic Medical Records


An original implementation of "MetaICL Learning to Learn In Context" by Sewon Min, Mike Lewis, Luke Zettlemoyer and Hannaneh Hajishirzi


PyTorch CZSL framework containing GQA, the open-world setting, and the CGE and CompCos methods.


Real-world Noisy Image Denoising: A New Benchmark


Must-read Papers on Physics-Informed Neural Networks.


face-cluster-by-infomap 一种无监督人脸聚类方法，在开源数据集上取得SOTA效果


LexRank algorithm for text summarization


Preprocesses and Aligns Run-On Sequencing (PRO/GRO/ChRO-seq) data from Single-Read or Paired-End Illumina Sequencing


Deep Learning for Astronomers with Tensorflow


Deep Relevance Ranking Using Enhanced Document-Query Interactions


Several sequential recommended models implemented by tenosrflow1.x


CVPR 2022 VolumeGAN - 3D-aware Image Synthesis via Learning Structural and Textural Representations


This package helps fisheries scientists collect growth data from calcified structures and back-calculate estimated lengths at previous ages. The package is intended to replace much of the functionality provided by the now out-dated fishBC software.


Java Geometry Expert


Deep Xi: A deep learning approach to a priori SNR estimation implemented in TensorFlow 2/Keras. For speech enhancement and robust ASR.


Experiments and data for the paper "When and why vision-language models behave like bags-of-words, and what to do about it?" Oral @ ICLR 2023


StarNet


The state-of-the-art algorithms on CIFAR-10 dataset in PyTorch


Dataflow analysis & differential privacy for SQL queries. This project is deprecated and not maintained.


mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.


Deep Modular Co-Attention Networks for Visual Question Answering


software to detect doublets


finetune with keras


R data package for pre-compiled somatic mutations from TCGA cohorts (from Broad Firehose and TCGA MC3 Project)


High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC


Python package to corrupt arbitrary images.


Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more


Code for the paper URLNet - Learning a URL Representation with Deep Learning for Malicious URL Detection


dataset for lightly supervised training using the librivox audio book recordings. https://librivox.org/.


Python and TensorFlow implementation of the paper "Learning Explanatory Rules from Noisy Data." Evans Richard and Edward Grefenstette. Journal of Artificial Intelligence Research 61 (2018): 1-64.


YOLOX-ti-lite models are optimized for deployment on TI edge processors


A collection of task-specific NLU datasets


MoleculeX: a new and rapidly growing suite of machine     learning methods and software tools for molecule exploration


Code release of "Learning Transferable Features with Deep Adaptation Networks" (ICML 2015)


Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation


A stochastic agent-based model for predicting raptor movements during updraft-subsidized directional flights


EMNLP 2018: RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information


Access ZTF data from Python


GuessWhat?! Baselines


Statistical estimation of a clear sky signal from PV system power data


State-of-the-art learned data structure that enables fast lookup, predecessor, range searches and updates in arrays of billions of items using orders of magnitude less space than traditional indexes


Python implementation of the Short Term Objective Intelligibility measure


1D, super-resolution brightness profile reconstruction for interferometric sources


Universal Proposition Banks for Multilingual Semantic Role Labeling


Open Climate Repo


A Thai word tokenization library using Deep Neural Network


A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.


EDGE is a highly adaptable bioinformatics platform that allows laboratories to quickly analyze and interpret genomic sequence data.


Linear framework to combine tractography and tissue micro-structure estimation with diffusion MRI


Intel:registered: Homomorphic Encryption Acceleration Library accelerates modular arithmetic operations used in homomorphic encryption


T-Pot - The All In One Honeypot Platform


Python library for Reinforcement Learning.


Imaging, analysis, and simulation software for radio interferometry


Implemetatin of Progressive Growing of GANs in PyTorch


Learning phrase grounding from captioned images through InfoNCE bound on mutual information


Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference


Reference implementations for RecurJac, CROWN, FastLin and FastLip  (Neural Network verification and robustness certification algorithms) [Do not use this repo, use https://github.com/Verified-Intelligence/auto_LiRPA instead]


Simple R package for ETCCDI/CRD climate change indices calculations


Scripts to estimate genome size and coverage from kmer distribution generated by jellyfish


This is the code for ACL paper "Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network"


EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comparing the performance across different models.


PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"


Framework for evaluating Graph Neural Network models on semi-supervised node classification task


pre-trained Language Models


Collaborative text editor written in Elixir/Phoenix, running at alchemy.digitalfreepen.com


Pairwise Hierarchical Model


TruthfulQA: Measuring How Models Imitate Human Falsehoods


Python scripts for training/testing paragraph vectors


➡➡⬅➡ Draw gene arrow maps in ggplot2


Graph CNNs for population graphs


Using graph network to solve PDEs


CO2SYS software for MATLAB (or octave) to compute variables of ocean CO2 system


Gaussian Processes for Experimental Sciences


[KDD'22] Official PyTorch implementation for "Towards Universal Sequence Representation Learning for Recommender Systems".


An attempt at replicating the Matching Networks for One Shot Learning in Tensorflow - Paper URL: https://arxiv.org/pdf/1606.04080.pdf


Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"


Code for "Interpolation-Prediction Networks for Irregularly Sampled Time Series", ICLR 2019.


treeWAS: A Phylogenetic Tree-Based Tool for Genome-Wide Association Studies in Microbes


A new framework for open-vocabulary object detection, based on maskrcnn-benchmark


Contrastive Self-supervised Sequential Recommendation with Robust Augmentation


Machine learning methods for astrophysics (photometric redshift and PDF estimation, star/galaxy classification etc.)


GilBERTo: A pretrained language model based on RoBERTa for Italian


De novo VIral Genome Annotator


Source code for "WaterGAN: Unsupervised Generative Network to Enable Real-time Color Correction of Monocular Underwater Images"


Lifelong Learning with Dynamically Expandable Networks, ICLR 2018


Encodes a PowerShell script in the pixels of a PNG file and generates a oneliner to execute


TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers (ECCV 2022)


Mutual Information Neural Estimation in Pytorch


A gene-targeted assembler tool


Free PV API


Sentence aligner


This repository provides train＆test code, dataset, det.&rec. annotation, evaluation script, annotation tool, and ranking.


This repository contains the code for the CVPR 2021 paper "GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields"


Open-source stronger baseline for unsupervised or domain adaptive object re-ID.


The Dynamic Agroforestry Coffee Crop Model


emoji2vec: Learning Emoji Representations from their Description


A RST Parser with a trained model


Few scripts facilitating the extraction of info from Repeat Masker .out files


DAGMM Tensorflow implementation


Independent JPEG Group's JPEG software


REBEL is a seq2seq model that simplifies Relation Extraction (EMNLP 2021).


Official PyTorch implementation of RobustNet (CVPR 2021 Oral)


MaxMatch (M^2) Scorer - Evaluation program for grammatical error correction systems.


Portable command-line tool to query bioinformatics APIs, data, databases and files.


Download and Visualize Essential Global Heating Data in R


Source code of our TPAMI'21 paper Dual Encoding for Video Retrieval by Text and CVPR'19 paper Dual Encoding for Zero-Example Video Retrieval.


Modularized Implementation of Deep RL Algorithms in PyTorch


Code for  "PPDM: Parallel Point Detection and Matching for Real-time Human-Object Interaction Detection".


BOND: BERT-Assisted Open-Domain Name Entity Recognition with Distant Supervision


3.41% and 17.11% error on CIFAR-10 and CIFAR-100


[ICCV 2023] You Only Look at One Partial Sequence


cDNA read preprocessing


Multichannel time series lossless compression in pure Python based on NumPy and zlib


Model Photovoltaic Fault Detector based in model detector YOLOv.3, this repository contains four detector model with their weights and the explanation of how to use these models.


Political Science Computational Laboratory


CLuster And RepAir tool for introductory programming assignments


Crawl BookCorpus


Data and code for Shen, Horikawa, Majima, and Kamitani (2019) Deep image reconstruction from human brain activity. PLoS Comput. Biol. http://dx.doi.org/10.1371/journal.pcbi.1006633.


[ACL 2021] Learning Dense Representations of Phrases at Scale; EMNLP'2021: Phrase Retrieval Learns Passage Retrieval, Too https://arxiv.org/abs/2012.12624


Repository for benchmarking graph neural networks


Enhancements of HCP Pipelines for non-human primates


R package to estimate q-values and false discovery rate quantities.


Python package for analysing and visualising brain connectome data


Py-SPHViewer is a framework for rendering cosmological simulations in Python using the Smoothed Particle Hydrodynamics scheme.


LogMap: An Ontology Alignment and Alignment Repair System


中文自然语言处理数据集，平时做做实验的材料。欢迎补充提交合并。


A library for building an in-memory, Adaptive Learned indEX


Datasets for compositional learning


[NeurIPS 2023 Datasets and Benchmarks Track] LAMM: Multi-Modal Large Language Models and Applications as AI Agents


tmm_fast is a lightweight package to speed up optical planar multilayer thin-film device computation. Developed by Alexander Luce (@Nerrror) in cooperation with Heribert Wankerl (@HarryTheBird).


Decombinator v4: fast, error-correcting analysis of TCR repertoires


Nanopore RNA-Seq data from the Singapore Nanopore-Expression Project


A lightweight, scalable, and general framework for visual question answering research


High-order Remap Miniapp


Python Active-subspaces Utility Library


Quantitative Sustainable Design (QSD) of sanitation and resource recovery systems.


The Renewable Energy Potential(V) eXchange Tool: reVX


Multiple Scattering Theory code for first principles calculations


RobustBench: a standardized adversarial robustness benchmark [NeurIPS'21 Benchmarks and Datasets Track]


Audio Normalization for Python/ffmpeg


Python Library for Automating Molecular Simulations


Import GTFS transit data into SQLite and query routes, stops, times, fares and more.


Force11 Software Citation Working Group


The Official PyTorch implementation of "3D Human Action Representation Learning via Cross-View Consistency Pursuit" in CVPR 2021


Code for papers "A Surprisingly Robust Trick for Winograd Schema Challenge" and "WikiCREM: A Large Unsupervised Corpus for Coreference Resolution"


A python module for English lemmatization and inflection.


Pipeline to convert a haploid assembly into diploid


An interface to and, in time, a Python reimplementation of the ROUGE package for evaluating summarization


Read trimming tool for Illumina NGS data.


Mapping Language to Code in a Programmatic Context


"3D Human Texture Estimation from a Single Image with Transformers", ICCV 2021 Oral


PyTorch Implementation of Google's Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions. This implementation supports both single-, multi-speaker TTS and several techniques to enforce the robustness and efficiency of the model.


Solves the GMMNLSE in MATLAB for pulse propagation in multimode fiber, with an efficient GPU implementation


"In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning" by Mamshad Nayeem Rizve, Kevin Duarte, Yogesh S Rawat, Mubarak Shah (ICLR 2021)


Archive: R functions for Analysis of Composition of Microbiomes (ANCOM). Please check our ANCOMBC R package for the most up-to-date ANCOM function.


TSEBRA: Transcript Selector for BRAKER


Official code for "Object counting and instance segmentation with image-level supervision", in CVPR 2019 and TPAMI 2020


COCACOLA: a general framework for binning contigs in metagenomic studies incorporating read COverage, CorrelAtion, sequence COmposition and paired-end read LinkAge


Code accompanying the paper "Fine-grained Video-Text Retrieval with Hierarchical Graph Reasoning".


Generate PSF super-tabulated models


GSEE: Global Solar Energy Estimator


QTL Discovery using Annotations


Re-implementation of the m-RNN model using TensorFLow


Discriminative and Robust Online Learning for Siamese Visual Tracking (AAAI 2020)


Socially-Equitable Language Identification


Recurrent neural network grammars


Collection of tools for building diachronic/historical word vectors


A set of tools for manipulating and doing calculations on wwPDB macromolecule structure files


Dataset for NAACL 2021 paper: "QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization"


Library to implement graph neural networks in PyTorch


Thorsten-Voice: A free to use, offline working, high quality german TTS voice should be available for every project without any license struggling.


A Natural Language Inference (NLI) model based on Transformers (BERT and ALBERT)


Code for Discriminability objective for training descriptive captions(CVPR 2018)


OpenFOAM Foundation development repository


QE-GIPAW for Quantum-Espresso (official repository)


Graph Embedding Evaluation / Code and Datasets for  "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations"  (Bioinformatics 2020)


A deep learning toolkit for log-based anomaly detection


BrainPainter - Brain Visualisation Software


Reference-based consensus creation


Verifies the linearizability of experimentally accessible histories.


This is a collection of our research on efficient AI, covering hardware-aware NAS and model compression.


Gradient Unwarping in Python


Controlled Vocabularies (CVs) for use in CMIP6


Scalable Time Series Data Analytics


Open source Machine Learning library written in Java


Multiple-Instance Support Vector Machines


UNFINISHED: use this instead: https://github.com/JRCSTU/gearshift_calculation_tool


TLX - A Collection of Sophisticated C++ Data Structures, Algorithms, and Miscellaneous Helpers


Genetic neural architecture search with Keras


ML has an impact on the climate. But not all models are born equal. Compute your model's emissions with our calculator and add the results to your paper with our generated latex template


Augmentation pipeline for rendering synthetic paper printing, faxing, scanning and copy machine processes


A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)


Distributed machine learning infrastructure for large-scale robotics research


Tioga is a library for overset grid assembly on parallel distributed systems


Lightweight utilities for working with spectroscopic data


Tools for Energy Model Optimization and Analysis


BFT-SMaRt's project home page


The mqtt.org website


Project 1


[ARCHIVED] Cooperative primitives for CUDA C++. See https://github.com/NVIDIA/cccl


An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities


Basic, no assumptions, multi-pileup


[CVPR21] Visual Semantic Role Labeling for Video Understanding (https://arxiv.org/abs/2104.00990)


named entity linking with latent relations


Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)


Pytorch implementation of Graph U-Nets (ICML19)


A PCB defect dataset.


Implementation of our papers Joint entity recognition and relation extraction as a multi-head selection problem (Expert Syst. Appl, 2018) and Adversarial training for multi-context joint entity and relation extraction (EMNLP, 2018).


ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes


Multi-Objective Molecule Generation using Interpretable Substructures (ICML 2020)


R package for analysing proteomics data


Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation


ConMask model described in paper Open-world Knowledge Graph Completion.


Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"


Recurrent & convolutional neural network modules


Large Scale Fine-Grained Categorization  and Domain-Specific Transfer Learning. CVPR 2018


Official code for UDH: Universal Deep Hiding for Steganography, Watermarking, and Light Field Messaging (Accepted at NeurIPS2020).


Reinforcement learning for deformable image registration, AAAI 2022


This repo contains the official code of our work SAM-SLR which won the CVPR 2021 Challenge on Large Scale Signer Independent Isolated Sign Language Recognition.


[CVPR 2020] MLCVNet: Multi-Level Context VoteNet for 3D Object Detection


A Network Integration Approach for Drug-Target Interaction Prediction


Oink, an implementation of modern parity game solvers


[AAAI 2019] A Unified Model for Opinion Target Extraction and Target Sentiment Prediction


PyTorch implementation of Barlow Twins.


Implementation code for ICML '17 paper "Deep Temporal Reasoning for Dynamic Knowledge Graphs"


Open-Source: Modular BMS based on LTC68XX & STM32 MCU for up to 400V EV battery pack


The code for "Box-supervised Instance Segmentation with Level Set Evolution(ECCV2022)"


LASER multilingual sentence embeddings as a pip package


SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities.


ParsBERT: Transformer-based Model for Persian Language Understanding


Model Agnostic Counterfactual Explanations


Discrete Global Grids for R: Spatial Analysis Done Right


A technical report on convolution arithmetic in the context of deep learning


Code release for "LogME: Practical Assessment of Pre-trained Models for Transfer Learning" (ICML 2021) and Ranking and Tuning Pre-trained Models: A New Paradigm for Exploiting Model Hubs (JMLR 2022)


Common PHP webshells you might need for your Penetration Testing assignments or CTF challenges. Do not host the file(s) on your server!


Molstar PDBe implementation


Context-Transformer: Tackling Object Confusion for Few-Shot Detection, AAAI 2020


Code for the Black-DROPS algorithm: "Black-Box Data-efficient Policy Search for Robotics", IROS 2017/ICRA 2018


Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)


Tools for cleaning and normalizing text data


redlistr: Tools for the IUCN Red List of Ecosystems and Species


A tensorflow implementation of "Generating Sentences from a Continuous Space"


Primer3 is a command line tool to select primers for polymerase chain reaction (PCR).


:sunflower: pyet is a Python package to estimate reference and potential evaporation.


Python wrapper for the Elexon/BMRS API


Image-Process based Atmospheric River Tracking (IPART) algorithms


Computer vision utils for Blender (generate instance annoatation, depth and 6D pose by one line code)


Laia: A deep learning toolkit for HTR based on Torch


Doublet detection in single-cell RNA-seq data.


Surveillance System Against Violence


COVID-CT-Dataset: A CT Scan Dataset about COVID-19


evm binary static analysis


Mt-KaHyPar (Multi-Threaded Karlsruhe Hypergraph Partitioner) is a shared-memory multilevel graph and hypergraph partitioner equipped with parallel implementations of techniques used in the best sequential partitioning algorithms. Mt-KaHyPar can partition extremely large hypergraphs very fast and with high quality.


SPARQL to SQL translation engine for multiple backends, such as DB2, PostgreSQL and Apache Spark


The Coq Effective Algebra Library [maintainers=@CohenCyril,@proux01]


ChemEx is an analysis program for chemical exchange detected by NMR.


SHIFT15M: Fashion-specific dataset for set-to-set matching with several distribution shifts


Evaluate your speech-to-text system with similarity measures such as word error rate (WER)


Source for the EnergySparks website


MRH's research code


General purpose framework to run CMS experiment workflows on HDFS/Spark platform


Code for the habitat challenge


User manual and example notebooks for the pytket quantum SDK


DScribe is a python package for creating machine learning descriptors for atomistic systems.


Smart Contract Weakness Classification and Test Cases


YOLOv3 in PyTorch > ONNX > CoreML > TFLite


Ethereum Virtual Machine (EVM) Bytecode or Solidity Smart Contract static analysis tool based on symbolic execution


Audio Visual Instance Discrimination with Cross-Modal Agreement


Creative Commons Attribution Share Alike 4.0 International

A simple library for querying the URIEL typological database.


Code for paper "Document-Level Argument Extraction by Conditional Generation". NAACL 21'


(CVPR 2022) Text Spotting Transformers


Pytorch implementation of R-BERT: "Enriching Pre-trained Language Model with Entity Information for Relation Classification"


A PyTorch implementation of dual-path RNNs (DPRNNs) based speech separation described in "Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation".


A Chinese legal case retrieval dataset.


Inductive relation prediction by subgraph reasoning, ICML'20


This project is a tensorflow implement of our work, CCM (Commonsense Conversational Model).


Annocript is a pipeline for the annotation of de-novo generated  transcriptomes. It executes BLAST analysis with UniProt, NCBI Conserved Domain Database and Nucleotide divisions, Gene Ontology, UniPathways and the Enzyme Commission. It gives information about the longest ORF (using DNA2PEP) and non-coding potential of the sequences (using Portrait). A final heuristic makes Annocript able to identify putative long non-coding RNAs among your transcripts. Like our facebook page to be always updated: https://www.facebook.com/annocript


FLOPs calculator with tf.profiler for neural network architecture written in tensorflow 2.2+ (tf.keras)


modified version of caffe which support DeconvNet and DecoupledNet


FgSegNet: Foreground Segmentation Network, Foreground Segmentation Using Convolutional Neural Networks for Multiscale Feature Encoding


A PyTorch implementation of L-BFGS.


Learning to query complex networks


AMR Parsing via Graph-Sequence Iterative Inference


【CVPR2020, Interpretable Network】A Model-driven Deep Neural Network  for Single Image Rain Removal


Scaleogram plot for Continuous Wavelet Transform made easy


An OpenFOAM solver  for Boltzmann model equation using discrete unified gas kinetic scheme


Code for Which Tasks Should Be Learned Together in Multi-task Learning?


Implementations of heuristics for the Max-cut and QUBO problems in C++


Viral Annotation DefineR: classification and annotation of viral sequences based on RefSeq annotation


Visualization toolkit for neural networks in PyTorch! Demo -->


Qoala-T is a supervised-learning tool for quality control of FreeSurfer segmented MRI data


Utility to greatly simplify downloading, converting, viewing and extracting annotations from the Digital Database for Screening Mammography (DDSM) database available here: http://marathon.csee.usf.edu/Mammography/Database.html


A method for training neural networks that are provably robust to adversarial attacks.


Adyton: A Network Simulator for Opportunistic Networks


A ready-to-use curated list of Spectral Indices for Remote Sensing applications.


Probabilistic modeling of tabular data with normalizing flows.


Configurable automation library for linux SBC boards including raspberry pi


A quickstart tool for AmpliconArchitect. Performs all preliminary steps (alignment, CNV calling, seed interval detection) required prior to running AmpliconArchitect. Previously called PrepareAA.


Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.


MPI Parallel framework for training deep learning models built in Theano


Official implementation of Earthformer


Semantics for COVID-19 Discovery


Trust Region Policy Optimization with TensorFlow and OpenAI Gym


Tools for tissue image stain normalisation and augmentation in Python 3


This repo presents a reference architecture for running serverless MapReduce jobs. This has been implemented using AWS Lambda and Amazon S3.


Natural Language Toolkit for Malaysian language, https://malaya.readthedocs.io/


A Large-Scale Few-Shot Relation Extraction Dataset


Library for viewing, augmenting, and handling .pose files


A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.


PCIC's Daily Climate Downscaling Library


Python framework for inference in Hawkes processes.


Experiments for understanding disentanglement in VAE latent representations


Official reinforcement learning environment for demand response and load shaping


Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty in machine learning model predictions.


Solving LPs with convergent message passing


ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis


Sionna: An Open-Source Library for Next-Generation Physical Layer Research


Astronomical Interferometry in PYthon (AIPY)


Fast code for parallel or fan beam tomographic reconstruction


A multi-programming language benchmark for evaluating the performance of large language model of code.


Library for Low-Frequency


A vocabulary for future-oriented mobility solutions and value-added services supporting them.


Climate science package for Julia


A python package to read and calibrate NOAA and Metop AVHRR GAC and LAC data


Mobile Security Framework (MobSF) is an automated, all-in-one mobile application (Android/iOS/Windows) pen-testing, malware analysis and security assessment framework capable of performing static and dynamic analysis.


elkai is a Python library for solving travelling salesman problems (TSP) based on LKH 3


Deep Neural Network (DNN) which predicts face/non-face, landmarks, pose and gender simultaneously with Chainer.


Official PyTorch Implementation of SAGPool - ICML 2019


Question Answering and Generation for Summarization


Pytorch Pedestrian Attribute Recognition: A strong PyTorch baseline for pedestrian attribute recognition and multi-label classification.


Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows


First version of the code - last update Dec 2015


SOM-DST: Efficient Dialogue State Tracking by Selectively Overwriting Memory (ACL 2020)


Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty


Automatically exported from code.google.com/p/berkeleyparser


Domain-Adversarial Neural Network in Tensorflow


Some code for processing and analysing UK Biobank cardiac MR images.


Benchmarks for Model-Based Optimization


A research library for pytorch-based neural network pruning, compression, and more.


SPLATNet: Sparse Lattice Networks for Point Cloud Processing (CVPR2018)


Diversity-Promoting Generative Adversarial Network for Generating Informative and Diversified Text (EMNLP2018)


Contrastive Predictive Coding for Automatic Speaker Verification


This repo contains the code for our paper "EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing" accepted at ACL 2019.


VulDeePecker: A Deep Learning-Based System for Vulnerability Detection


A Multi-Aspect Multi-Sentiment Dataset for aspect-based sentiment analysis.


Mass-editing thousands of facts into a transformer memory (ICLR 2023)


r/Fakeddit New Multimodal Benchmark Dataset for Fine-grained Fake News Detection


An official reimplementation of the method described in the INTERSPEECH 2021 paper - Speech Resynthesis from Discrete Disentangled Self-Supervised Representations.


This repository contains tools to perform modern cache attacks on ARM.


TEACh is a dataset of human-human interactive dialogues to complete tasks in a simulated household environment.


PyTorch implementation of  two-stream networks for video action recognition


Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)


Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019


Implementation of the image-sentence embedding method described in "Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models"


Purified Purine.


Flash2 has some improvements from flash_1 including new logic from innie and outie overlaps as well as some initial steps for flash for amplicons


A generative latent variable model for biological sequence families.


The GM initial conditions generator


Fine-tuning StyleGAN2 for Cartoon Face Generation


Pipeline for differential gene expression (DGE) and differential transcript usage (DTU) analysis using long reads


Pipeline to generate the Standardized Project Gutenberg Corpus


Deep and Machine Learning for Microscopy


BLOCK (AAAI 2019), with a multimodal fusion library for deep learning models


Corruption and Perturbation Robustness (ICLR 2019)


Large-scale Pre-training Corpus for Chinese 100G 中文预训练语料


Implementation of topic models based on neural network approaches.


A simple python implementation of Fuzzy C-means algorithm.


calculate radial velocities from stellar spectra


Lattice methods in TensorFlow


A Circos-based tool to visualize genome assembly consistency


A tool to identify, orient, trim and rescue full length cDNA reads


BAGEL software


Framework for predicting neural activity from mouse orofacial movements tracked using a pose estimation model. Package also includes singular value decomposition (SVD) of behavioral videos.


SiMon -- Simulation Monitor


Summarize Massive Datasets using Submodular Optimization


Massively parallel tensor network solver


RAT is an Analysis Tool


Openmano is an open source project that provides a practical implementation of the reference architecture for Management & Orchestration under standardization at ETSI’s NFV ISG


Neural end-to-end Speech Translation Toolkit


A Neural Machine Translation implementation in Chainer


Python programs for electron microscopy


Python Repository of the Institute of Astronomy @ KU Leuven


BabyAI platform. A testbed for training agents to understand and execute language commands.


A Japanese NLP Library using spaCy as framework based on Universal Dependencies


Firmware for Libre Solar MPPT/PWM charge controllers


Bayesian optimisation & Reinforcement Learning library developped by Huawei Noah's Ark Lab


wolfMQTT is a small, fast, portable MQTT client implementation, including support for TLS 1.3.


Unsupervised parsing and noun phrase identification


Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".


Learned Primal-Dual Reconstruction


Omnidirectional Scene Text Detection with Sequential-free Box Discretization (IJCAI 2019). Including competition model, online demo, etc.


Codebase for ECCV18 "The Sound of Pixels"


Official code for Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection (CVPR 2022 oral)


MP-SENet: A Speech Enhancement Model with Parallel Denoising of Magnitude and Phase Spectra


RSVG: Exploring Data and Model for Visual Grounding on Remote Sensing Data, 2022


bead-based normalization of mass cytometry data


word2vec Google News model


Multi-Scale Convolutional Recurrent Encoder-Decoder


Hyperspectral-Classification   Pytorch


Resources for the "Evaluating the Factual Consistency of Abstractive Text Summarization" paper


Automated deep-learning based brain tumor segmentation on MRI


Progressive Growing of GANs for Improved Quality, Stability, and Variation


This library augments road images to introduce various real world scenarios that pose challenges for training neural networks of Autonomous vehicles. Automold is created to train CNNs in specific weather and road conditions.


Graph theory analysis of brain MRI data


A single jupyter notebook multi gpu VAE-GAN example with latent space algebra and receptive field visualizations.


Direct Attentive Dependency Parser


This is the GitHub repository of the Building Efficiency Targeting Tool for Energy Retrofits (BETTER)


Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)


[ICCV 2017] Torch code for Grad-CAM


Community Codec Repository


normalize the intensities of various MR image modalities


Extract individual trees from lidar point clouds


Repository containing code for "How to Train BERT with an Academic Budget" paper


a lightweight bam file depth statistical tool


Neural Question Generation using the SQuAD and NewsQA datasets


An open information extraction system that provides compact extractions


ZPar statistical parser. Universal language support (depending on the availability of training data), with language-specific features for Chinese and English. Currently support word segmentation, POS tagging, dependency and phrase-structure parsing.


Guide to p4lang repositories and some other public info about P4


Computing landscape metrics in the Python ecosystem


Tools and Utilities for msmc and msmc2


This is a Pytorch implementation of deep image blending


This is the FER+ new label annotations for the Emotion FER dataset.


simple neural network library in ANSI C


Entity disambiguation evaluation and error analysis tool


microsatellite instability detection using tumor only or paired tumor-normal data


Navigating Spreading-out Graph For Approximate Nearest Neighbor Search


Efficient algorithms for analyzing DNA methylation data.


scale ethereum with snarks


PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks


A SciUnit library for validation testing of spiking neural network models.


Depends is a fast, comprehensive code dependency analysis tool


An efficient implementation of the popular sequence models for text generation, summarization, and translation tasks. https://arxiv.org/pdf/2106.04718.pdf


The complete set of tools for energy consumption analysis of programming languages, using Computer Language Benchmark Game


Decision Analytic Modeling (DAM) package is a suite of functions for analyzing and visualizing the health economic outputs of mathematical models


Prediction of prophages from bacterial genomes


Cancer Genome Project Insertion/Deletion detection pipeline based around Pindel


Pyro models of SARS-CoV-2 variants


Feature as a Counter Parser for Networkmetrics


Highly comparative time-series analysis


license


What does it take to decarbonize your state?


A numerical solver package for a wide range of quantum lattice models based on many-variable Variational Monte Carlo method


Wind Energy with Integrated Servo-controls Toolset


Benchmarking Generalized Out-of-Distribution Detection


Official MOHID Water Modelling System repository


cve-search - a tool to perform local searches for known vulnerabilities


Repository for the paper "Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images"


A Tensorflow2.x implementation of Scaled-YOLOv4 as described in Scaled-YOLOv4: Scaling Cross Stage Partial Network


PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.


Tk-Instruct is a Transformer model that is tuned to solve many NLP tasks by following instructions.


Conditional Diffusion Probabilistic Model for Speech Enhancement


Official implementation of the paper WAV2CLIP: LEARNING ROBUST AUDIO REPRESENTATIONS FROM CLIP


A Multi-modal Model Chinese Spell Checker Released on ACL2021.


Tensorflow implementation of Learning-based Video Motion Magnification


Source code for our CVPR 2019 paper - PPGNet: Learning Point-Pair Graph for Line Segment Detection