A complete paper list of Single-Object Visual Tracking Algorithms, Surveys and Benchmarks of recent years. Different from existing paper list, this project doesn't simply category the papers by publishment, but from a tracking challenge-tackling perspective.


Python Implementation of Weighted Generalized Canonical Correlation Analysis


This is a Single-Molecule Break Junctions experiment data processing software built with Python and PyQt5.


Multimodal Sarcasm Detection Dataset


An open-source library for reduced-density matrix-based analysis and computation


Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments


source code for ICLR'23 paper "Non-parametric Outlier Synthesis"


Scribble-Supervised LiDAR Semantic Segmentation, CVPR 2022 (ORAL)


Knowledge Discovery for COVID19: Search the full text of CORD19 research papers on COVID 19


TorchEsegeta: Interpretability and Explainability pipeline for PyTorch


Pytorch implementation of Quaternion Knowledge Graph Embeddings.


Index repo for Kimera code


Certifiable Outlier-Robust Geometric Perception


LatPlan : A domain-independent, image-based classical planner


Mean-Shifted Contrastive Loss for Anomaly Detection (AAAI 2023)


A hierarchical deep learning framework for ncRNA-protein interaction prediction.


Repository for the PGA-MAP-Elites algorithm.  PGA-MAP-Elites was developed to efficiently scale MAP-Elites to large genotypes and noisy domains. It uses Neuroevolution driven by a Genetic Algorithm (GA)  coupled with Policy Gradients (PG) derived from an off-policy Deep Reinforcement Learning method.


Viral genome reference alignment


Metrics for evaluating generative models.


Development version of vioplot R package (CRAN maintainer)


Complete-coverage gridded predictions of soil properties (percent organic carbon, total nitrogen, bulk density, pH, and percent sand and clay) and classes (taxonomic great group and particle size in the control section) for the Conterminous U.S.


Repository for tree crown delineation from RGB imagery, coupled with methods to delineate tree crowns from LiDAR data. Further scripts to analyse the mortality rates and carbon stocks of identified individual trees.


Pytorch implementation of Bit-Flip based adversarial weight Attack (BFA)


Semantic Segmentation of Underwater Imagery: Dataset and Benchmark. #IROS2020


Genome-scale design tool for oligo hybridization probes


Craft poisoned data using MetaPoison


Countering Adversarial Image using Input Transformations.


Coach: A Coarse-to-Fine Approach for Cross-domain Slot Filling (ACL-2020)


Open source code for paper "Denoised MDPs: Learning World Models Better Than the World Itself"


Practical low-rank gradient compression for distributed optimization:  https://arxiv.org/abs/1905.13727


The Business Scene Dialogue corpus


A fast LSTM Language Model for large vocabulary language like Japanese and Chinese


CoRelAy is a tool to compose small-scale (single-machine) analysis pipelines.


Evaluation metrics to compare AMR graphs based on Smatch


Neural Distributed Image Compression using Common Information (NDIC) [DCC 2022]


Improved Phased Assembler


A curated list of awesome resources related to executable packing


Diarization scoring tools.


Neural network class for molecular dynamics to predict potential energy, forces and non-adiabatic couplings.


This repository contains the code used to produce the Global Flood Database and assess changes in population exposed to floods.


Measure the readability of a given text using surface characteristics


In-place Parallel Super Scalar Samplesort (IPS⁴o)


Zeroth-order Min-max Optimization


Drought SPEI Index Spain Map


(a) (p)erfect (c)ircle? ... tests DNA sequences for overlapping ends, then trims and rejoins, and aligns reads to test the join


Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]


Use cloud radiative kernels to compute cloud-induced radiation anomalies


Miscellaneous functions for analysis of species association and niche overlap


A collection of Meta-Reinforcement Learning algorithms in PyTorch


Clone (~1000) repos matched to query on GitHub using Search API


Human preference data for "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback"


Easy-to-use and fast pipeline to search for pulsars


An adversarial example library for constructing attacks, building defenses, and benchmarking both


Generating room impulse responses


R package to assess water quality trends with generalized additive models


An experimental version of the BQ client which adds client-side encryption


Truly Conversational Search is the next logic step in the journey to generate intelligent and useful AI. To understand what this may mean, researchers have voiced a continuous desire to study how people currently converse with search engines. Traditionally, the desire to produce such a comprehensive dataset has been limited because those who have this data (Search Engines) have a responsibility to their users to maintain their privacy and cannot share the data publicly in a way that upholds the trusts users have in the Search Engines. Given these two powerful forces we believe we have a dataset and paradigm that meets both sets of needs: A artificial public dataset that approximates the true data and an ability to evaluate model performance on the real user behavior. What this means is we released a public dataset which is generated by creating artificial sessions using embedding similarity and will test on the original data. To say this again: we are not releasing any private user data but are releasing what we believe to be a good representation of true user interactions.


A Tool for Extracting and Embedding Road Scene-Graphs


An event-based tool for analyzing and quantifying calcium or neurotransmitter imaging data


Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020


Critical Assessment of Intrinsic Disorder


Zhu et al., So2Sat LCZ42: A Benchmark Dataset for Global Local Climate Zones Classification, IEEE Geoscience and Remote Sensing Magazine, in press, 2020.


The MegaMorph version of GALAPAGOS


TrackNTrace is an open source MATLAB framework for single molecule localization, tracking, and super-resolution applications written by Simon Christoph Stein and Jan Thiart from the University of Goettingen.


Official code for the CVPR 2021 paper "How Well Do Self-Supervised Models Transfer?"


Mid-Latitude Evaluation System


Database with battery parameters based on PerMod (HTW Berlin) as well as functions in order to simulate battery storages (manufacturer+model or generic type)


[NeurIPS 2023] Assessor360: Multi-sequence Network for Blind Omnidirectional Image Quality Assessment


Source code and dataset for EMNLP 2020 paper "MAVEN: A Massive General Domain Event Detection Dataset".


Deform meshes by reinforcement learning


Systematic ProtEin AnnotatoR


Minimax Estimation of Conditional Moment Models


Tabulated Correlation Functions


Elastic Network Contact Model (coarse-grained Normal Mode Analysis software)


A Large Semantic Knowledge Graph from Wikipedia Categories and Listings


Implementing and summarizing interesting research papers in Machine Learning and Neural Network domain.


ICON Lab @ Bilkent University


Repository for our NeurIPS 2022 paper "Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off" and our NeurIPS 2023 paper "Learning to Receive Help: Intervention-Aware Concept Embedding Models"


Mirror of the Basalt repository. All pull requests and issues should be sent to https://gitlab.com/VladyslavUsenko/basalt


Data-driven reduced order modeling for nonlinear dynamical systems


Deconvolution of calcium imaging data


This repository is the official implementation of Improving Object-centric Learning With Query Optimization


Stratification BED files from the Global Alliance for Genomics and Health (GA4GH) Benchmarking Team and the Genome in a Bottle Consortium.  These files can be used as standard resource of BED files for use with GA4GH benchmarking tools such as hap.py to stratify true positive, false positive, and false negative variant calls based on genomic context.


The UK National Grid historical demand for electricity


Fisher forecasting code for use with class_delens


STM32 Energy Monitoring


Resources related to the Free Waveform Sequence (FWF)


Public code repository for the Banovich Lab at the Translational Genomics Research Institute (TGen).


Automated generation of NASA ADS bibtex entries directly from citation keys in your TeX source files


DDO a generic and efficient framework for MDD-based  optimization.


RADseq workflow built around STACKS


This is the code associated with the paper A Variational Inequality Perspective for Generative Adversarial Networks.


中文医疗信息处理基准CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark


An OpenSource LED stimulator for visual and optogenetics stimulation in combination with 2-photon recording


An R package wrapping the US Energy Information Administration open data API.


GENome Organisation Visual Analytics


Polyglot Live Programming with GraalVM, the Language Server Protocol (LSP), and VS Code.


This repository contains the code, data, and models of the paper titled "XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages" published in Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021.


An open source biological wastewater treatment simulation software...


The repository contains an ongoing collection of tweets IDs associated with the novel coronavirus COVID-19 (SARS-CoV-2), which commenced on January 28, 2020.


Formal Verification of Neural Feedback Loops (NFLs)


DeeP-LCC for mixed traffic


PyTorch Code for the paper "VSE++: Improving Visual-Semantic Embeddings with Hard Negatives"


A research library for automating experiments on Deep Graph Networks


Tensor network simulations for finite temperature, open quantum system dynamics


Code for comparison of multimodal VAE models


The Tianlai pipeline.


An open-source MATLAB® ADMM solver for partially decomposable conic optimization programs.


A python code to calculate the conversion probability between photons and axions / axionlike particles


Schema2QA Question Answering Dataset


A fast, accurate estimator for small shear distortion.


Lightweight Python implementation of Normative Modelling


Model to evaluate emissions of cars


R package: A state-of-the-art Vegetation Phenology extraction package, phenofit


(MOVED) Athena++ GRMHD code and adaptive mesh refinement (AMR) framework. Active repository --->


A robust way to calculate line-of-sight velocities.


Hands-on Sessions 1 and 2 at the Building Interpretable AI for Digital Pathology AMLD workshop 2021


Making Energy Systems Modeling as simple as a linear regression in R


Model of an idealized Moist Atmosphere: Intermediate-complexity General Circulation Model with full radiation


10x Genomics Single Cell Analysis


Python workflow for generating benchmark datasets and machine learning models from the MIMIC-IV-ED database.


Time Series Initialization of Buildings


A set of tools for processing Quantitative MR Images


The Stockholm inversion code


A collection of command line tools for working with sequencing data


CRU CL v. 2.0 Climatology Client for R


Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.


Large scale ice-flow model


Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)


API Client for Global Surface Summary of the Day ('GSOD') Weather Data Client in R


The schedule of the seminar


a Lightweight library for sequential learning agents, including reinforcement learning


The Termination Problem Database


Creative Commons Attribution 4.0 International

Extended state-space SIR epidemiological models


The circularity.ID Open Data Standard. The standard represents the results and findings of an extensive six-year research into the needs of stakeholders in the fashion industry to achieve a circular economy.


A code for generating fake spectra from a cosmological simulation


Open Plant Pathology website


CaMa-Flood_v4 development master


SPECTRE: Short packet communication toolbox


Concealed Object Detection (SINet-V2, IEEE TPAMI 2022). Code is implemented by PyTorch/Jittor frameworks.


nmtpy is a Python framework based on dl4mt-tutorial to experiment with Neural Machine Translation pipelines.


Converting and demultiplexing of PacBio BAM files into gzipped fasta and fastq files.


ytopt: machine-learning-based search methods for autotuning


CL2QCD is a Lattice QCD application based on OpenCL, applicable to CPUs and GPUs.


End-to-end training of sparse deep neural networks with little-to-no performance loss.


Deep learning for plant phenotyping.


An Easy-to-use Instruction Processing Framework for LLMs.


DeepLC: Retention time prediction for (modified) peptides using Deep Learning.


ITHACA-SEM - In real Time Highly Advanced Computational Applications for Spectral Element Methods


Models for the spaCy Natural Language Processing (NLP) library


The RobotDesigner is a plugin extending Blender for robot and musculoskeletal modeling of simulation models and environments.


Visual Object Tracking (VOT) challenge evaluation toolkit


QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)


Prototype Fortran 2008 engine for the EPA Storm Water Management Model (SWMM)


A list of backdoor learning resources


This repository contains data on Coronavirus Disease 2019 (COVID-19) in New York City (NYC), from the NYC Department of Health and Mental Hygiene.


A collection of sequencing protocols and bioinformatic resources for SARS-CoV-2 sequencing.


The existing blockchain-related academic papers. All papers are sorted according to the conference and published year.  Welcome developers or researchers to add more published papers to this list.


Library for symbolic automata and symbolic visibly pushdown automata


Probabilistic time series modeling in Python


Expression Atlas


Officially supported AllenNLP models


Openai Gym with Dart support


Recent Fuzzing Paper


End-to-End Speech Processing Toolkit


This repository is for the legacy Mixed Reality Toolkit (MRTK) v2.  For the latest version of the MRTK please visit https://github.com/MixedRealityToolkit/MixedRealityToolkit-Unity


BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds - Official PyTorch implementation


Official implementation of "PhonMatchNet: Phoneme-Guided Zero-Shot Keyword Spotting for User-Defined Keywords" (INTERSPEECH 2023)


GPT4Vis: What Can GPT-4 Do for Zero-shot Visual Recognition?


Graph-based alignment (Hierarchical Graph FM index)


A set of Matlab code for carrying out glottal source and voice quality analysis


Code for doubly stochastic gradients


A library for adversarial classifier evasion


Cluttered MNIST Dataset


Evaluation benchmark for the task of Semantic Image Translation. Contains code to run FlexIT (CVPR 2022)


PyTorch code accompanying the paper "Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning" (NeurIPS 2021).


dancetrack 比赛第二名


错别字纠正算法。调用pycorrector接口，使用规则。


Code for building and experimenting on saliency maps for RL agents.


Code for the AVLnet (Interspeech 2021) and Cascaded Multilingual (Interspeech 2021) papers.


[CVPR2023]PEFAT: Boosting Semi-supervised Medical Image Classification via Pseudo-loss Estimation and Feature Adversarial Training


Customer support chatbot based on seq2seq model.


A package for designing compact and comprehensive capture probe sets.


Debye's scattering equation & other analysis of atomistic models.


Code for ICCV 2023 paper "Contrastive Pseudo Learning for Open-World DeepFake Attribution"


Tensorflow Code for Conditional Variational AutoEncoder


Covid-19 vs Pneumo Xray Detection using TensorFlow


CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning


Engagement Detection, including facial detection and emotion recognition, using CNNs/LSTMs.


Human Pose Estimation in Real-World Metric Coordinates


The code for the paper: https://arxiv.org/pdf/1802.00168.pdf


an efficient method for detecting adversarial image examples


Learned representation for Offline Handwritten Signature Verification. Models and code to extract features from signature images.


This is a React web application designed to demonstrate common use cases of the DW TAP Computational Framework and API.


small fixed wing UAV simulator


Uncertainty Aware Semi-Supervised Learning on Graph Data


Code for "Label-Consistent Backdoor Attacks"


[CVPR'22] NICE-SLAM: Neural Implicit Scalable Encoding for SLAM


The description of FMFCC-A (audio track of FMFCC) dataset and Challenge resluts.


[ICML 2017] Robust estimation of mean and covariance in high dimensions


A Label Attention Model for ICD Coding from Clinical Text


HERitAge by point CLoud procESsing for Matlab


Author: Tong Zhao (tzhao2@nd.edu). ICML 2022. Learning from Counterfactual Links for Link Prediction


Privacy-preserving Voice Analysis via Disentangled Representations


The Oxynet Python package repository


Learning local search heuristics for Boolean satisfiability


[EMNLP 2022] This is the code repo for our EMNLP‘22 paper "COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning".


Code for "Proximal Distilled Evolutionary Reinforcement Learning", accepted at AAAI 2020


Pytorch implementation of Spatoi-temporal Differential Equation Network (STDEN).


UniSA: Unified Generative Framework for Sentiment Analysis


Denoising autoencoders for anomaly detection in medical imaging


An unofficial Pytorch implementation of "Improved Baselines with Momentum Contrastive Learning" (MoCoV2) - X. Chen, et al.


Contains information links, articles, research papers, tweets, blog posts, companies etc and everything which is even minutely related to the field of Artificial Intelligence, Distributed Computing, Quantum Computing and Physics, Evolutionary Biology, Crypto-currency, Virual and Augmented Reality etc.


Official implementation of the paper "Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance", ICML2022.


[TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training


Yuck is a local-search constraint solver with FlatZinc interface


A code generation dataset for generating the code that implements Hearthstone and Magic The Gathering card effects.


A list of our publications.


Official implementation of "Graph Unlearning" (ACM CCS 2022)


Hydrogen Infrastructure Model for the analysis of spatially resolved hydrogen infrastructure pathways


[NeurIPS 2020] Causal Discovery in Physical Systems from Videos


E3Outlier: Effective End-to-end Unsupervised Outlier Detection


Implementation for IGCN and GLP model in our paper "Label Efficient Semi-Supervised Learning via Graph Filtering."


TransCG: A Large-Scale Real-World Dataset for Transparent Object Depth Completion and A Grasping Baseline


vist story telling evaluation tool


Joint Embeddings of Chinese Words, Characters, and Fine-grained Subcharacter Components


Grammarly Corpus of Discourse Coherence and accompanying code for discourse coherence models


Adversarial examples for Seq2Seq model in NLP


Implementation for our paper "Conditional Image-Text Embedding Networks"


Visualizer for PyTorch image models


AAAI 2021: Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise


audioLIME: Listenable Explanations Using Source Separation


This is a re-implementation of TransGAN: Two Pure Transformers Can Make One Strong GAN (NeurIPS 2021) in PyTorch.


Adversarial Training of Denoising Diffusion Model Using Dual Discriminators for High-Fidelity Multi-Speaker TTS


Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)


Creative Commons Attribution Share Alike 4.0 International

A database of over 1.4 billion 3x3 convolution filters extracted from hundreds of diverse CNN models with relevant meta information (CVPR 2022 ORAL)


This is the Grammarly's Yahoo Answers Formality Corpus


[NeurIPS 2020 Spotlight] State-adversarial PPO for robust deep reinforcement learning


Linguistic Analysis Command-Line Tool


'NKD and USKD' (ICCV 2023) and 'ViTKD'


FastClassification is a tensorflow toolbox for class classification. It provides a training module with various backbones and training tricks towards state-of-the-art class classification.


ICCV 2021, We find most existing triggers of backdoor attacks in deep learning contain severe artifacts in the frequency domain. This Repo. explores how we can use these artifacts to develop stronger backdoor defenses and attacks.


Knowledge Distillation Toolkit


A library for reinforcement learning research


[arXiv 2023] PointLLM: Empowering Large Language Models to Understand Point Clouds


Reliability diagrams visualize whether a classifier model needs calibration


Implementation for Variational Information Bottleneck for Effective Low-resource Fine-tuning, ICLR 2021


R package for performing Mendelian Randomization using mixture models


A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in The International Workshop on Self-Supervised Learning for the Web (SSL'21) @ the Web Conference 2021 (WWW'21).


Deep Learning for EM Connectomics


DimeNet and DimeNet++ models, as proposed in "Directional Message Passing for Molecular Graphs" (ICLR 2020) and "Fast and Uncertainty-Aware Directional Message Passing for Non-Equilibrium Molecules" (NeurIPS-W 2020)


Time Series Analysis Models Source Code with Deep Learning Algorithms


propositional satisfiability problem (SAT) goes neural and deep


Mode Connectivity and Fast Geometric Ensembles in PyTorch


This repo provides code and data used in our TANDA paper.


Supporting code for uncultivated gut virus manuscript


A spatially explicit trait- and individual-based microbial systems modelling framework


This page is a companion for our paper on optimal link prediction, written by Amir Ghasemian, Homa Hosseinmardi, Aram Galstyan, Edoardo M. Airoldi, and Aaron Clauset. (arXiv:1909.07578)


[ICCV 2021 Oral] Deep Evidential Action Recognition


A Chainer extension for K-FAC


Code for the paper "Unsupervised Contrastive Learning of Sound Event Representations", ICASSP 2021.


Suite of command-line software for high-performance graphical analysis of ChIP-seq/RNA-seq/ATAC-seq data


The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"


Switchboard Dialog Act Corpus with Penn Treebank links


Code for Backdoor Attacks Against Dataset Distillation


Library for training globally-robust neural networks.


This repository contains the source code of MdidNet : A Convolutional Generative Adversarial Network for Symbolic-domain Music Generation


some useful scripts for working with genomics and sequencing data


Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Session 2019)


Quantum algorithms for the simulation of Hamiltonian dynamics.


Sux4J is an effort to bring succinct data structures to Java.


A toolbox of Hawkes processes


source code of NAACL2021 "PCFGs Can Do Better: Inducing Probabilistic Context-Free Grammars with Many Symbols“ and ACL2021 main conference "Neural Bilexicalized PCFG Induction"


Forecast the US demand for electricity


Exo-Transmit radiative transfer code for calculating exoplanet transmission spectra


PyTorch toolkit for streaming speech recognition, speech translation and simultaneous translation based on fairseq.


A plugin for climetlab to retrieve the Eumetnet postprocessing benchmark dataset.


Optimized Utilities for PyTorch


Code for "Learning the Best Pooling Strategy for Visual Semantic Embedding", CVPR 2021


My solution to Kaggle challenge "IEEE Camera Model Identification" [top 3%]


A Deep Graph Neural Network Architecture for Modelling Spatio-temporal Dynamics in rs-fMRI Data


Single View Geocentric Pose


Code for Handling Divergent Reference Texts when Evaluating Table-to-Text Generation (Dhingra et al. 2019)


CLIR version of ColBERT


PhoBERT: Pre-trained language models for Vietnamese (EMNLP-2020 Findings)


Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.


CO-MOT: Bridging the Gap Between End-to-end and Non-End-to-end Multi-Object Tracking


PyTorch implementation for "ProtoTransformer: A Meta-Learning Approach to Providing Student Feedback" (https://arxiv.org/abs/2107.14035).


Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch


Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.


ToyADMOS2: Another dataset of miniature-machine operating sounds for anomalous sound detection under domain shift conditions


FuSeBMC is a novel Energy-Efficient Test Generator that exploits fuzzing and BMC engines to detect security vulnerabilities in real-world C programs.


Additional implementation of BIKE (Bit Flipping Key Encapsulation)


The code of the AAAI-20 paper "Attractive or Faithful? Popularity-Reinforced Learning for Inspired Headline Generation".


Code for ACL2020 paper: Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network


Codebase for An Efficient Framework for Clustered Federated Learning.


[MRM'21] Complementary Time-Frequency Domain Network for Dynamic Parallel MR Image Reconstruction. [MICCAI'19] k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-Temporal Correlations


The Open Lab Book: A collection of freely distributable scientific protocols


This repository is to develop novel AIs for complex C2 decision making. It consists of parallel branches for GUI and for AI development (coming soon) for the ARL Battlespace wargame.


a deep learning tool for the classification of biological sequences


Offline Risk-Averse Actor-Critic (O-RAAC). A model-free RL algorithm for risk-averse RL in a fully offline setting


BioELMo is a biomedical version of embeddings from language model (ELMo), pre-trained on PubMed abstracts.


Tensorflow implementation of Fast Geometrically-Perturbed Adversarial Faces


pDeep: Predicting MS/MS Spectra of Peptides with Deep Learning


Matlab tools for loading, interpolating, and displaying BedMachine ice sheet topography.


A list of academic papers related to Docker containers & Docker Hub


Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.


Regularly updated list of publicly available datasets with single-cell (scRNAseq) and T-cell/antibody immune repertoire (AIRR / RepSeq / immunosequencing) data of COVID-19 patients with SARS-CoV-2.


Human Pangenome Reference Consortium - HG002 Data Freeze (v1.0)


Code for the paper "Some Like it Hoax: Automated Fake News Detection in Social Networks" by E.Tacchini, G.Ballarin, M.L.Della Vedova, S.Moret and L.De Alfaro (2017)


An R package to detect collective spatio-temporal phenomena


Industry-Energy-Tool-(IET)


Small tools to assist wind energy simulations


A Framework for Textual Entailment based Zero Shot text classification


ReaSCAN is a synthetic navigation task that requires models to reason about surroundings over syntactically difficult languages. (NeurIPS '21)


A toolbox for spectral compressive imaging reconstruction including MST (CVPR 2022), CST (ECCV 2022), DAUHST (NeurIPS 2022), BiSCI (NeurIPS 2023), HDNet (CVPR 2022), MST++ (CVPRW 2022), etc.


Python module for performing linear regression for data with measurement errors and intrinsic scatter


STAG: Species Tree from All Genes


Structural variant pipeline


XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning


A Fast and Accurate Vietnamese Word Segmenter (LREC 2018)


BayesVL package for Bayesian statistical analyses in R


ACL'2020: Biomedical Entity Representations with Synonym Marginalization


SOMatic is a tool for building Self-Organizing Maps and linking multiple maps.


Repository for crowd tracking and robot performance evaluation in experiments


A project to add scalable state-of-the-art out-of-distribution detection (open set recognition) support by changing two lines of code! Perform efficient inferences (i.e., do not increase inference time) and detection without classification accuracy drop, hyperparameter tuning, or collecting additional data.


:art: Winning solution for the Painter by Numbers competition on Kaggle.


A neural approach to malware detection in portable executables


High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.


Tools for processing treebank trees


An overview of algorithms for estimating pseudotime in single-cell RNA-seq data


A tool to model the bath relaxation dynamics of open quantum systems by Lindblad and Hierarchical Equations of Motion (HEOM) approaches.


BERT model trained from scratch on Finnish


Optimize energy assets using mixed-integer linear programming


Visualizing the structure of planning problems using local-minima trees


A script for audio/transcript alignment. Fork of p2fa.


Datasets for the task of tracing diachronic semantic shifts in Russian for two large-scale time period pairs (from pre-Soviet to Soviet times [<1917 -> 1918-1990] & from Soviet to post-Soviet times [1918-1990 -> 1990-2017])


Regression with Summary Statistics.


FALKON implementation used in the experimental section of "FALKON: An Optimal Large Scale Kernel Method"


[NeurIPS 2022 Spotlight] Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations


Knowledge Distillation for Multi-task Learning (ECCV20 Workshops)


A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)


The rep for the RotateNetworks in ICPR18, Beijing, China.


Phylogenetic Analysis of Long Terminal Repeat Retrotransposons


Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT


NABERT model for solving the DROP dataset


This repository provides cytogenetics related datasets to investigate the semantic segmentation


Python implementation of basic period detection and fitting routines for astronomical time series.


CODER: Knowledge infused cross-lingual medical term embedding for term normalization. [JBI, ACL-BioNLP 2022]


Source code for EMNLP-IJCNLP 2019 paper "HMEAE: Hierarchical Modular Event Argument Extraction".


piXedfit is a Python package designed for analyzing spatially resolved SEDs of galaxies


Amons-based quantum machine learning for quantum chemistry


Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Isaac Orbit and Omniverse Isaac Gym


Source code for the paper M. Polese, L. Bonati, S. D'Oro, S. Basagni, T. Melodia, "ColoRAN: Design and Testing of Open RAN Intelligence on Large-scale Experimental Platforms," arXiv 2112.09559 [cs.NI], December 2021.


Tensorflow implementation of Hyperspherical Variational Auto-Encoders


Tutorials on phylogenetic and phylogenomic inference


A neural network emulator to transform field data


Exact methods for simulating fractional Brownian motion and fractional Gaussian noise in python


Building Radial Density Profiles for Interstellar Filaments


Modelling the Language of Life - Deep Learning Protein Sequences


List of research around modern boardgames.


A curated reading list of research in Mixture-of-Experts(MoE).


Convert biological neuronal networks to artificial recurrent neuronal networks


A unified framework for Low-resource Audio Processing and Evaluation (SSL Pre-training and Downstream Fine-tuning)


Page to PAGE Layout Analysis Tool


Code for the paper "Clinical Reading Comprehension: A Thorough Analysis of the emrQA Dataset" (ACL 2020)


Fast Symmetric Diffeomorphic Image Registration with Convolutional Neural Networks


Software for detecting regions of BrdU and EdU incorporation in Oxford Nanopore reads.


Implementation of papers in 100 lines of code.


see README


ShortStack: Comprehensive annotation and quantification of small RNA genes


"Independent Component Analysis of BIg Omics Data"


Python package for early warning signals (EWS) of bifurcations in time series data.


RascalC: A Fast Code for Galaxy Covariance Matrix Estimation


[DEPRECATED]  An innovative technique that constructs an ensemble of decision trees and converts this ensemble into a single, interpretable decision tree with an enhanced predictive performance


Automatic Dialect Detection Repository


Another Domain Adaptation library, aimed at researchers.


A surveillance-oriented tool to strengthen the linkage between pathogen genetic clusters and epidemiological data


A tool for text normalisation via character-level machine translation


A Toolbox for MultiModal Recommendation. Integrating 10+ Models...


Implementation of hotspot2 by Eric Rynes


Heterogeneity through discriminative analysis


A Heat And MoiSture Tracking framEwoRk (HAMSTER) for the evaluation of Lagrangian models


free software C++ libraries for cosmological calculations


State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox


C++/CUDA GPU pulsar searching library


fast library for ANN search and KNN graph construction


Simulation framework for customs fraud detection using import declarations.


NeurIPS 2021 - Few-shot learning competition


VM2D: Open-Source Code for 2D Flow Simulation by Using Meshless Lagrangian Vortex Methods


Light-weight transfer learning framework for on-device speech and audio recognition using pre-trained image convolutional neural networks.


LSST Simulations repository for baseline evaluation information


Out-of-distribution detection using the pNML regret. NeurIPS2021


Implementation of Flexible Conditional Density Estimator


TheanoLM is a recurrent neural network language modeling tool implemented using Theano


Python scripts using usual frameworks in Deep Learning for pattern recognition on forest environments


Graphite - Graph-based variant adjudication


A collection of crystal structures from first-principles simulations


Combining deep learning and reinforcement learning.


Multipurpose Multi Speaker Mixture Signal Generator


This is Nbody6++GPU, an N-body star cluster simulation code, maintained by Rainer Spurzem and team.


Statistical Analysis of RNA-Seq Tools


Repository for supplemental material of manuscripts


POGEMA stands for Partially-Observable Grid Environment for Multiple Agents. This is a grid-based environment that was specifically designed to be flexible, tunable and scalable. It can be tailored to a variety of PO-MAPF settings.


A Python module for preprocessing and evaluating aerodynamic airfoil data---primarily for wind turbine applications.


PyTorch extensions for fast R&D prototyping and Kaggle farming


CANAlization: Control & Redundancy in Boolean Networks


Sentinel Hub Cloud Detector for Sentinel-2 images in Python


A python Two Source Energy Balance model for estimation of evapotranspiration with remote sensing data


A Python API for Botometer by OSoMe


Set of quantum chemistry programs and libraries


A collection of tutorials for Snorkel


Repository for the Python Crop Simulation Environment


ktrain is a Python library that makes deep learning and AI more accessible and easier to apply


My experimental tools on top of htslib. NOT OFFICIAL!!!


This is a webshell open source project


a portable and fast pairing-based cryptography library


A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way :chestnut:


Mirror of the official PostgreSQL GIT repository. Note that this is just a *mirror* - we don't work with pull requests on github. To contribute, please see https://wiki.postgresql.org/wiki/Submitting_a_Patch


An adaptive mesh, N-body hydro cosmological simulation code


A framework for fast simulation of a generic collider experiment


A repository of custom scripts to be used with Sentinel Hub


Caffe: a Fast framework for deep learning. Custom version with built-in sparse inputs, segmentation, object detection, class weights, and custom layers


Various utilities for processing the data.


Perl script for manipulating multiple sequence alignments for phylogenetic reconstruction


The Randomized Conditional Independence Test (RCIT) and the Randomized conditional Correlation Test (RCoT)


This is the repository of the EMNLP 2021 paper "BERT, mBERT, or BiBERT? A Study on Contextualized Embeddings for Neural Machine Translation".


PSF Homogenization kERnels


Official Implementation of Neural Splines


Parameterized Explainer for Graph Neural Network


Variants of GANs most easily implemented as TensorFlow2. GAN, DCGAN, LSGAN, WGAN, WGAN-GP, DRAGAN, ETC...


MagNet: a Two-Pronged Defense against Adversarial Examples


Ethereum Static Vulnerability Detector for Gas-Focussed Vulnerabilities


sam2pairwise takes a SAM file and uses the CIGAR and MD tag to reconstruct the pairwise alignment of each read.


Author's PyTorch implementation of TD3 for OpenAI gym tasks


A knowledge base completion method which handles temporal metadata


genome simulation across a population with zeta-distributed allele frequency, snps, insertions, deletions, and multi-nucleotide polymorphisms


The Fortran 77 codes for the open-loop  and the closed-loop simulations for the Tennessee Eastman process (TEP) as well as the training and testing data files used for evaluating the data-driven methods (PCA, PLS, FDA, and CVA).


Repository providing a wide range of self-supervised pretrained models for computer vision tasks.


Code for the paper "Automatic Design of Convolutional Neural Network for Hyperspectral Image Classification"


Code and Models for the paper "End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering" (NeurIPS 2021)


A flexible, scalable, and reproducible pipeline to automate variant calling from sequence reads.


Unofficial PyTorch implementation of the paper "cosFormer: Rethinking Softmax In Attention".


openXBOW - the Passau Open-Source Crossmodal Bag-of-Words Toolkit


Honest inference in regression discontinuity designs


We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation property of cPINN is obtained by enforcing the flux continuity in the strong form along the sub-domain interfaces.


Official implementation of RDST. A residual dense swin transformer for medical image super-resolution


Library implementing the Fan-Vercauteren homomorphic encryption scheme


毕业设计：基于Bert_Position_BiLSTM_Attention_CRF_LSTMDecoder的法律文书要素识别


MILE: A Multi-Level Framework for Scalable Graph Embedding


Code for the paper "Symbiotic Adversarial Learning for Attribute-based Person Search", ECCV2020


code associated with ACL 2021 DExperts paper


Combine multiple MNIST digits to create datasets with 100/1000 classes for few-shot learning/meta-learning


EfficientNets snapshot


Everything is Linkable


Large Covid-19 CT scans dataset from the paper: https://doi.org/10.1016/j.bspc.2021.102588


The dataset and PyTorch Implementation for ACL 2020 paper "MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization".


Arabic edition of BERT pretrained language models


Author's PyTorch implementation of BCQ for continuous and discrete actions


code and data for my COLING paper "An Interpretable Reasoning Network for Multi-Relation Question Answering"


Implementation of WGAN-QC


Implementation of CVPR2022 paper: "Deep orientation-aware functional maps: Tackling symmetry issues in Shape Matching".


Module to call Mycobacterium tuberculosis lineages


An encoder-decoder framework for learning from incomplete data


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


Source Code of GraRep


The AIR Tools II toolbox for MATLAB accompanies the publication "AIR Tools II: algebraic iterative reconstruction methods, improved implementation", Hansen, P. C. & Jørgensen, J. S. Numer Algor (2017).


Baselines for Model-Based Optimization


This repository contains the code for our upcoming paper An Investigation of End-to-End Models for Robust Speech Recognition at ICASSP 2021.


This repository is the PyTorch implementation of our DocRE model with reconstruction in AAAI 2021 Paper "Document-Level Relation Extraction with Reconstruction".


Convert NCBI taxonomy dump into lineages


Pytorch official implementation for Imitating Unknown Policies via Exploration.


GEE App to explore the state of the world's (degraded) soils


SLSpy provides a Python-based framework to design and simulate model-based control systems, especially for system level synthesis (SLS) methods.


Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction


A general framework for inferring CNNs efficiently. Reduce the inference latency of MobileNet-V3 by 1.3x  on an iPhone XS Max without sacrificing accuracy.


An efficient solver for lifelong Multi-Agent Path Finding


Codes for "CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation"


ImageNet-Sketch data set for evaluating model's ability in learning (out-of-domain) semantics at ImageNet scale


Generalized SEIR Epidemic Model (fitting and computation)


Sync paired-end FASTA/Q files and keep singleton reads


This repository is made for the paper: Self-supervised vision-language pretraining for Medical visual question answering


Tools for processing and analyzing JWST data


Evaluate three types of task shifting with popular continual learning algorithms.


This is the code for Negation and Speculation Cue Detection and Scope Resolution using BERT, XLNet and RoBERTa


Tutorial for surrogate gradient learning in spiking neural networks


Official PyTorch implementation of the “Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation” (ICCV 2021)


Keras implementation of Mobile Networks


Robust loss functions for deep neural networks (CVPR 2017)


TensorFlow Implementation of "Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification".


Calculate white dwarfs ages from effective temperature and surface gravity.


Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"


This repo is the official implementation of "Mask-based Latent Reconstruction for Reinforcement Learning" (NeurIPS 2022).


iMaterialist Challenge on Product Recognition at FGVC6, CVPR 2019


Incremental construction of FM-index for DNA sequences


Russian language support for NLTK's PunktSentenceTokenizer


Code for the paper "Taxonomy Completion via Triplet Matching Network" AAAI 2021


Code for "Just Train Twice: Improving Group Robustness without Training Group Information"


Implementation of RLNs, as described in https://arxiv.org/abs/1805.06440


IC3 reference implementation: a short, simple, fairly competitive implementation of IC3.  Read it, tune it, extend it, play with it.


TedNet: A Pytorch Toolkit for Tensor Decomposition Networks


Multilingual/multidomain question generation datasets, models, and python library for question generation.


[AAAI 2022] Detecting Human-Object Interactions with Object-Guided Cross-Modal Calibrated Semantics.


Marine debris detection with commercial satellite imagery and deep learning.


Calculate flow statistics from a given network capture file.


It's Smart-Question Answering System on short as well as long documents. It can automatically find answers to matching questions directly from documents. The deep learning language model converts the questions and documents to semantic vectors to find the matching answer.


A C++ software tool for generating and analyzing model bulk heterojunction morphologies in a parallel computing environment


Official implementation of "Recovering the Unbiased Scene Graphs from the Biased Ones" (ACMMM 2021)


Scripts and noise data for Belinkov & Bisk 2018


Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"


R package for forest mensuration and management


COMBO is jointly trained tagger, lemmatizer and dependency parser.


SHAS: Approaching optimal Segmentation for End-to-End Speech Translation


Preparation of species occurrences and distribution data for the use in phylogenetic analyses. SpeciesgeocodeR is built for data exploration and data analysis and especially suited for biogeographical and ecological questions on large datasets. The package includes the easy creation of summary-tables and -graphs and geographical maps, the calculating of coexistence matrices and species ranges (EOO) as well as mapping diversity in geographic areas.


CURE-TSD: Challenging Unreal and Real Environments for Traffic Sign Detection


Fast computation of Krippendorff's alpha agreement measure in Python.


Official code for Slot-Transformer for Videos (STEVE)


ggplot extension: options for tailored facets, multiple colourscales and miscellaneous


Training and evaluating a variational autoencoder for pan-cancer gene expression data


CUDA Matrix Factorization Library with Stochastic Gradient Descent (SGD)


Create mutation signatures from MAF's, and decompose them into Stratton signatures


Unofficial Pytorch code for  "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence" in NeurIPS'20. This repo contains reproduced checkpoints.


DRIP and SLIP Landslide Detection Package


A system for identifying latent fingerprints. Created at Michigan State University by Anil K. Jain, Kai Cao, Dinh-Luan Nguyen, and Cori Tymoszek.


Descriptor Vector Exchange


A Tensorflow implementation Mutual Information estimation methods


MultiCite code and data. Models are available on Huggingface.


Dirichlet MLE python library


Image reconstruction and inference tool for optical interferometry


Official Implementation of Information Theoretic Counterfactual Learning from Missing Not At Random Feedback. NeurIPS 2020.


Uber trip data from a freedom of information request to NYC's Taxi & Limousine Commission


Transcriptomic tools to classify bladder tumours according to six published molecular classifications : Baylor, UNC, MDA, Lund, CIT-Curie, TCGA


Official implementation of the paper Visual Parser: Representing Part-whole Hierarchies with Transformers


PyTorch code for the paper "Curriculum Graph Co-Teaching for Multi-target Domain Adaptation" (CVPR2021)


CIKM'21: JPQ substantially improves the efficiency of Dense Retrieval with 30x compression ratio, 10x CPU speedup and 2x GPU speedup.


Graph Ensemble Learning


Document-Level Neural Machine Translation with Hierarchical Attention Networks


LLVM Obfuscator


LISA for ICML 2022


PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.


Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos


Causal Effect Inference with Deep Latent-Variable Models


One million English sentences, each split into two sentences that together preserve the original meaning, extracted from Wikipedia edits.


Awesome things about domain generalization, including papers, code, etc.


Face detection and alignment using deep learning


DFOIL: Introgression Testing for Five Taxa


WaNet - Imperceptible Warping-based Backdoor Attack (ICLR 2021)


Python based SED fitting code


The SeaFreeze package allows to compute the thermodynamic and elastic properties of water and ice polymorphs (Ih, III, V and VI) in the 0-2300 MPa and 220-500K range.


Incremental learning of word embeddings with context informativeness.


Diffusers-Interpret ♀: Model explainability for  Diffusers. Get explanations for your generated images.


Get started with CORD-19


the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral


Visualkeras is a Python package to help visualize Keras (either standalone or included in TensorFlow) neural network architectures. It allows easy styling to fit most needs. This module supports layered style architecture generation which is great for CNNs (Convolutional Neural Networks), and a graph style architecture, which works great for most models including plain feed-forward networks.


Repository for Doctor AI project


Multi Atlas Segmentation and Morphometric analysis toolkit (MASMAT) for mouse brain MRI


SimXNS, a research project for information retrieval, containing official implementations, by MSRA NLC team.


Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)


Deep Planning Network: Control from pixels by latent planning with learned dynamics


ICHEC Quantum natural language processing (QNLP) toolkit


Stochastic Gradient Push for Distributed Deep Learning


In the context of Deep Learning: What is the right way to conduct example weighting?  How do you understand loss functions and so-called theorems on them?


Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.


Gradient based Hyperparameter Tuning library in PyTorch


Large-Scale Multi-Label Text Classification on EU Legislation


Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation (CVPR 2019)


An open-source semi-automated processing chain for urban OBIA classification.


Solar/Satellite Geolocation for Animal Tracking


Maximum Entropy Codes


Zero-inflated dimensionality reduction algorithm for single-cell data


fast thermo-chemical equilibrium code with or without equilibrium condensation down to 100K


A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch


Tutorials and implementations for "Self-normalizing networks"


A toolkit for automated local phylogenomic analyses, or ALPHA


What are the differences between the transaction isolation levels in databases? This is a suite of test cases which differentiate isolation levels.


MarginPolish: Graph based assembly polishing


Voice Conversion With Just Nearest Neighbors


HTOF: Code which parses the intermediate data from Hipparcos and Gaia and fits astrometric solutions to those data. Capable of computing likelyhoods and parameter errors in line with the catalog.


The Global Environmental Multiscale (GEM) model is a numerical weather prediction model developed by the Meteorological Research Division of Environment and Climate Change Canada.


Package for processing and analyzing glycans and their role in biology.


Codebase for "Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning". This is a ServiceNow Research project that was started at Element AI.


Identifying Historical People, Places and other Entities: Shared Task on Named Entity Recognition and Linking on Historical Newspapers at CLEF 2020.


A curated list of ground-truth forest datasets for the machine learning and forestry community.


Robust regression toolbox for neuroimaging data


Chromatin contact paired-read single-cell Hi-C processing module for Nuc3D and NucTools


A curated list of Blockchain projects for Artificial Intelligence and Machine Learning


Code to automatically evaluate and tune parameters for Kimera-VIO pipeline.


Federated Learning Utilities and Tools for Experimentation


A fast and certifying solver for quantified Boolean formulas.


Extracting tidally-constrained annual shorelines and robust rates of coastal change from freely available Earth observation data at continental scale


This package simulates the behaviors of an ensemble of phytoplankton individuals.


:books: :microscope: :unlock:  :mag: A curated list of resources, data, tools, scholarship related to Open Access, Data and Open Science :books: :microscope: :unlock:  :mag:


The Software Overlay TG will specify the requirements for the software overlay feature, both from the FW manager  engine and from toolchain aspects, all which will be based on the current RISC-V ISA and extensions.


Integration ribosome profiling - mass spectrometry


LTR_retriever is a highly accurate and sensitive program for identification of LTR retrotransposons; The LTR Assembly Index (LAI) is also included in this package.


Pulp virtual platform


Python package for API access to news articles and events in the Event Registry


Tools for the analysis of pulsar scintillation data


Awesome work on object 6 DoF pose estimation


3D/4D volumetric rendering of microscopy data


Neural Network Force Field based on PyTorch


A curated list of resources dedicated to reinforcement learning applied to cyber security.


Repository for the HiRID ICU Benchmark (HiB) project


PyTorch model training and layer saturation monitor


A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch


An Open-source Neural Hierarchical Multi-label Text Classification Toolkit


HiRep repository


A PowerModels.jl Extension Package for Exploratory Work


NYU ML² work on sentence encoding with tree structure and dynamic graphs


Neural Weather Prediction for Limited Area Modeling


Consensus calling (or "reference assisted assembly"), chiefly of ancient mitochondria


doublehelix obfuscates Ruby codes in Double-helix style


Code to train and evaluate the GeNeVA-GAN model for the GeNeVA task proposed in our ICCV 2019 paper "Tell, Draw, and Repeat: Generating and modifying images based on continual linguistic instruction"


Official Pytorch's implementation of RotoGrad


A sample of the notMNIST dataset in MNIST format so you can drop new data into your existing MNIST neural nets


Variational Graph Recurrent Neural Networks - PyTorch


Contrastive Learning (SimCLR) for Human Activity Recognition


Methods of training NLP models to ignored biased strategies


accepted at ICCV 2021


[ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement


Repository for the paper "Fast and Accurate Deep Bidirectional Language Representations for Unsupervised Learning"


code for IJCAI2015 paper "Network Representation Learning with Rich Text Information"


PyTorch implementation of "Scalable Graph Neural Networks via Bidirectional Propagation"


Learning Sparse Neural Networks through L0 regularization


A Diagnostic Study of Explainability Techniques for Text Classification


Covariance toolbox for matlab, including riemannian geometry


Unofficial Implementation of MLP-Mixer, gMLP, resMLP, Vision Permutator, S2MLP, S2MLPv2, RaftMLP, HireMLP, ConvMLP, AS-MLP, SparseMLP, ConvMixer, SwinMLP, RepMLPNet, WaveMLP, MorphMLP, DynaMixer, MS-MLP, Sequencer2D in Jittor and PyTorch! Now, Rearrange and Reduce in einops.layers.jittor are support!! trunc_normal_ is supported for Jittor!! MLP Paper is uploaded!


Chromatin States Map in mouse embryonic stem cell


Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).


Repository for the paper "Optimal Subarchitecture Extraction for BERT"


Notebook example of how to generate class visualizations with Caffe


Statistical Workload Injector for MapReduce - Project at UC Berkeley AMP Lab


Anomaly detection on X-Ray MURA dataset using GAN.


This repository is an official Tensorflow 2 implementation of Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning


An open dataset for object detection in remote sensing images


Computes a consensus sequence with wobbles, ambiguous bases, and in-frame insertions, from a NGS read alignment.


Learning Facial Representations from the Cycle-consistency of Face (ICCV 2021)


Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search


A curated list of awesome academic researches and industrial materials about Artificial Intelligence for IT Operations (AIOps).


Predicting tandem mass spectra from molecules


FOFE NER


Solution to Deepfake Detection Challenge


PyTorch implementation of SAC-Discrete.


Freehand ultrasound without external trackers


Histology processing


Self-Supervised Learning for OOD Detection (NeurIPS 2019)


NExT-QA: Next Phase of Question-Answering to Explaining Temporal Actions (CVPR'21)


The official implementation of the IEEE S&P`22 paper "SoK: How Robust is Deep Neural Network Image Classification Watermarking".


Data and code for the IEEE S&P'22 paper SAILFISH: Vetting Smart Contract State-Inconsistency Bugs in Seconds


[ECCV 2020] Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation


Fragment-based generative RL with Explorative Experience replay for Drug design (FREED)


weedNet: Dense semantic weed classification using multispectral images and MAV for smart farming


Implementation of f-AnoGAN with PyTorch


12000+ manually drawn pixel-level lung segmentations, with and without covid


Code/figures in Right for the Right Reasons


Code for the ECCV 2022 paper "Unleashing Transformers"


PyTorch Implementation of Spatially Consistent Representation Learning(SCRL)


Original dataset release for CIFAR-10H


A benchmarking suite for maximum independent set solvers.


EEN: Error Encoding Network


Source code and dataset for KDD 2019 paper "Sequential Scenario-Specific Meta Learner for Online Recommendation"


Code for: "Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes" and "TaskNorm: Rethinking Batch Normalization for Meta-Learning"


Semantic Segmentation Models in Pytorch


Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems


:boom: Quickly calculate and visualize sequence coverage in alignment files


The official pytorch code of DeFLOCNet: Deep Image Editing via Flexible Low-level Controls (CVPR2021)


Code for EMNLP2019 paper "Low-Resource Response Generation with Template Prior"


Documentation and scripts related to the .nnet file format. This file format specifies a simple text file to define feed-forward, fully-connected, ReLU activated neural networks. Example networks in this format can be found in the Reluplex repository.


federated learning autonomous driving in CARLA simulation


Small non-coding RNA annotation Pipeline Optimized for rRNA- and tRNA-Derived Small RNAs


R package to perform statistical inference in generative models using the Wasserstein distance (requires CGAL)


A Detection Toolbox for Tensorflow2


[EMNLP 2020] Text Classification Using Label Names Only: A Language Model Self-Training Approach


A user-friendly workflow for phylogenomics


hyb: a bioinformatics pipeline for the analysis of CLASH (crosslinking, ligation and sequencing of hybrids) data


Code implementation of the paper "Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks", at IEEE Security and Privacy 2019.


Effective selection of population size projection for construction of the site frequency spectrum. Convert VCF to dadi/fastsimcoal style SFS for demographic analysis


VoiceSplit: Targeted Voice Separation by Speaker-Conditioned Spectrogram


CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox


Fast Neural Network Adaptation via Parameter Remapping and Architecture Search (ICLR2020 & TPAMI)


Official Implementation of 'UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers' ICLR 2021(spotlight)


This is the main repo for Penglai.


GEAR [GEnetic Analysis Repository], contact chenguobo@gmail.com;


Implementation of the BLUE benchmark with Transformers.


Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning (authors' MXNet implementation for the TACL19 paper)


Reference files for running HipSTR with various organisms


Pathway-Level Information Extractor (PLIER): a generative model for gene expression data


Codebase for Learning Invariances in Neural Networks


graph-theoretic framework for robust pairwise data association


[Currently undergoing renovations] A computational workflow for designing libraries of guide RNAs for CRISPR base editing


UBC ARBERT and MARBERT Deep Bidirectional Transformers for Arabic


PyTorch implementation of Value Iteration Networks (VIN): Clean, Simple and Modular. Visualization in Visdom.


Combining "segment-anything" with MOT,  it create the era of "MOTS"


JetSeT a framework for self-consistent modeling and fitting of  astrophysical relativistic jets


An Inductive Logic Programming system for online learning of event definitions in the form of Event Calculus programs


Safe Bayesian Optimization


Software for generating a brain-predicted age value, using Gaussian Processes regression, implemented in R


The official code of TACL 2021, "Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies".


Code for NAUM project paper


Finite element methods for electronic structure calculations on small systems


This repository contains data used in the NAACL 2015 paper "Personalized Page Rank for Named Entity Disambiguation" by Maria Pershina, Yifan He, Ralph Grishman.


[TNNLS] Bayesian Cycle-Consistent Generative Adversarial Networks via Marginalizing Latent Sampling


Multimodal Mixture-of-Experts VAE


Repository for the paper "Automating App Review Response Generation"


This repository contains the implementation of the VAE and Gaussian Mixture VAE using TensorFlow and several network architectures


Lipschitz Neural Networks described in "Sorting Out Lipschitz Function Approximation" (ICML 2019).


This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.


AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty


a python package for reduced density matrix techniques


Version 5 of the CAFE phylogenetics software


Dataset for NAACL 2021 paper: "DART: Open-Domain Structured Data Record to Text Generation"


Muller diagrams excel at visualizing evolutionary dynamics of a population over time.  A common use case, and the intended use case during development, describes the abundance and succession of genotypes within a population derived from  sequencing data from samples at specified timepoints.  This provides a useful method of quickly discerning the evolutionary relationship between genotypes seen in a population and how this changes over time.


Stochastic Time-Inverted Lagrangian Transport model


mmCIF-based extension dictionary for computed structure models


JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.


This Repository is implementation of majority of Semantic Segmentation Loss Functions


Official implementation of HARL algorithms based on PyTorch.


ML-Quadrat (ML2) is a Model-Driven Software Engineering (MDSE) tool with full code generation and out-of-the-box Machine Learning (ML) support at the modeling layer for creating smart services for the Internet of Things (IoT) and Cyber-Physical Systems (CPS).


Global Maps of Potential Natural Vegetation based on Machine Learning


Python module to compute and fit GRB afterglows.


Wind retrievals for the WindCube lidar


Fish for line detections by exploiting the known velocity structure of the disk.


PyXAB - A Python Library for X-Armed Bandit and Online Blackbox Optimization Algorithms


Sign Language Segmentation with Temporal Convolutional Networks (ICASSP'21) and Sign Segmentation with Changepoint-Modulated Pseudo-Labelling (CVPRW'21)


Code for the paper "MSMatch: Semi-Supervised Multispectral Scene Classification with Few Labels"


Adversarial Threat Landscape for AI Systems


Access Canadian Historical Climate Data from R


BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training


Robust Graphical Methods For Group Comparisons


Various customs functions written to enhance the base functions of phyloseq. Most of them are used in the formation "Métagénomique 16S" provided by the platforms Migale and Genotoul


Decoding platform for machine translation research


Implementation of Truncated Quantile Critics method for continuous reinforcement learning. https://bayesgroup.github.io/tqc/


Climate Data Store Toolbox for MATLAB


This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled by ''Shapley Q-value: A Local Reward Approach to Solve Global Reward Games''.


LipidFinder: A computational workflow for discovery of new lipid molecular species


Simple code to read mangle masks, calculate ids and weights, and generate random points


O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis


The SETimes.HR+ Croatian dependency treebank


NOW - Numerical Optimization of gradient Waveforms


4,800,000+ Unsplash images made available for research and machine learning


Software for Ontogenic aNalysis of Antibody Repertoires


Unsupervised correction of gene independent cell responses to CRISPR-cas9


Firmware for Open EVSE


FSA (Fisheries Stock Assessment) package provides R functions to conduct typical introductory fisheries analyses.


Open STT


The PyTorch Implementation of SummaRuNNer


Multi-objective Gymnasium environments for reinforcement learning


Wishbone is an algorithm to align cells along developmental trajectories with branches


A Python package for modelling the Australian National Electricity Market dispatch procedure


A fresh approach to deep learning written in MATLAB


Modern implementation of the hybrid genetic search (HGS) algorithm specialized to the capacitated vehicle routing problem (CVRP). This code also includes an additional neighborhood called SWAP*.


Utility for analyzing Transformer based representations of language.


A library containing analysis and theory tools for cosmological data.


Python implementations of approval-based committee (multi-winner) voting rules


A collection of datasets that pair questions with SQL queries.


List of gene lists for genomic analyses.


A comprehensive benchmark for Graph Structure Learning.


A python module for evaluating NERC and NEL system performances as defined in the HIPE shared tasks (formerly CLEF-HIPE-2020-scorer).


Numenta published papers code and data


Home of Arachne and other Arkouda functionality provided by researchers at NJIT


SuperNovae in object-oriented Python (SNooPy)


PhysiBoSS 2.0: a sustainable integration of stochastic Boolean and agent-based modelling frameworks


Moola optimisation package


Ligra: A Lightweight Graph Processing Framework for Shared Memory


Pervasive Attention: 2D Convolutional Networks for Sequence-to-Sequence Prediction


Methods for detecting doublets in single-cell sequencing data


Work with PBRT v4


The intent is for the Landscape to be a living document that developers, investors, vendors, researchers and others can use as a resource.


Simple library/pipeline to generate and handle Hi-C data.


COSP - The CFMIP (Cloud Feedbacks Model Intercomparison Project) Observation Simulator Package


EHT Analysis Toolkit


Unsupervised Word Segmentation for Neural Machine Translation and Text Generation


Java tools for Address-Event Representation (AER) neuromorphic vision and audio sensor processing


List of software packages for multi-omics analysis


Medical Concept Annotation Tool


A Deep Learning based project for colorizing and restoring old images (and video!)


PArametrized Recommendation and Ai Model benchmark is a repository for development of numerous uBenchmarks as well as end to end nets for evaluation of training and inference platforms.


Earth observation processing framework for machine learning in Python


Version of the carmen robot framework developed by LCAD for IARA - Intelligent Autonomous Robotic Autonomobile.


A PyTorch implementation of Implicit Q-Learning


[CVPR 2022] Official CoTTA Code for our paper Continual Test-Time Domain Adaptation


FANG: Leveraging Social Context for Fake News Detection Using Graph Representation


A set of treebanks for multiple languages annotated in basic Stanford-style dependencies.


CP-JKU submission to DCASE 19, performant single-model CNN


Pretrained GANs in PyTorch: StyleGAN2, BigGAN, BigBiGAN, SAGAN, SNGAN, SelfCondGAN, and more


CNN based single speaker localization


Ten thousand books, six million ratings


Official [ICLR] Code Repository for "Gradient Projection Memory for Continual Learning"


Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds


power systems tools made beautiful


Medical Question Answering Dataset of 47,457 QA pairs created from 12 NIH websites


This repository contains the "tensorflow" implementation of our paper "graph2vec: Learning distributed representations of graphs".


AM-GCN: Adaptive Multi-channel Graph Convolutional Networks


The implementation of our CIKM 2021 paper titled as: "Cross-Market Product Recommendation"


PyTorch implementation of VQ-VAE + WaveNet by [Chorowski et al., 2019] and VQ-VAE on speech signals by [van den Oord et al., 2017]


PyTorch implementations of neural networks for timeseries classification


Source code for the paper "Growing urban bicycle networks", exploring algorithmically the limitations of urban bicycle network growth


Quick Draw Irregular Mask Dataset


The code for paper MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation


Keras implementation of YOLO v3 for object detection with training and deployment in Azure ML.


Binarize convolutional neural networks using pytorch :fire:


Code example for the ICLR 2018 oral paper


Pytorch implementation of One-Shot Affordance Detection


2018AIOps: The 1st match for AIOps


MarginDistillation: distillation for margin-based softmax


An open-source codebase for exploring autonomous driving pre-training


Multi-Graph Convolutional Neural Networks


A collection of functions with emphasis on multivariate methods and handling of geographic datasets


Protist Ribosomal Reference database (PR2) - SSU rRNA gene database


A Python library for knowledge graph representation learning (graph embedding).


A MATLAB class for Mean Square Displacement analysis.


Conformal classifiers, regressors and predictive systems


Conversion from tetrahedra (triangles) to hexahedra (quadrangles)


Software for learning sparse Bayesian networks


This project makes available the code and data from our NAACL paper: "Capturing Row and Column Semantics in Transformer Based Question Answering over Tables"


Code for TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning (CVPR 2019)


Permutation Tests for Linear Models


National Electricity Market Emissions Data Tool


code for "PGMAN: An Unsupervised Generative Multi-adversarial Network for Pan-sharpening"


source code of the paper Graphical Generative Adversarial Networks


Stefan Engblom's Matlab libraries


Official PyTorch Implementation of "Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs". NeurIPS 2020.


Genetic Algorithm Package for Python


Monitoring water quality from space!


Deep Anomaly Detection with Outlier Exposure (ICLR 2019)


PointPWC-Net is a deep coarse-to-fine network designed for 3D scene flow estimation from 3D point clouds.


Translation of the mtrf-Toolbox for Matlab (see https://github.com/mickcrosse/mTRF-Toolbox).


Commonsense Explanations Dataset and Code


Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification


TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155


Implementation of multi-level Contrastive Predictive Coding (CPC) methods


Official implementation of the paper GLU-Net (CVPR2020-Oral)


Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs (CVPRW 2020)


Power Law Distribution Fitting in python (and fortran and cython)


A toolkit for analyzing and visualizing phylogenetic (placement) data


ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any model or data and different Shapley Values for tree-based models.


A complete training recipe for kaldi-based Automatic Lyrics Transcription.


A C++/Python implementation of the StreetLearn environment based on images from Street View, as well as a TensorFlow implementation of goal-driven navigation agents solving the task published in “Learning to Navigate in Cities Without a Map”, NeurIPS 2018


ExBLAS: fast, accurate, and reproducible BLAS


The ANI-1ccx and ANI-1x data sets, coupled-cluster and density functional theory properties for organic molecules.


Implement some state-of-the-art methods of Semantic Scene Completion (SSC) task in PyTorch.                        [1] 3D Sketch-aware Semantic Scene Completion via Semi-supervised Structure Prior (CVPR 2020)


Official Implementation of Mockingjay in Pytorch


Python Based Auxiliary-Field Quantum Monte Carlo


PyContinual (An Easy and Extendible Framework for Continual Learning)


Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)


R package containing useful functions for mutational signature analysis


Lamorel is a Python library designed for RL practitioners eager to use Large Language Models (LLMs).


An Efficient Chinese Text Classifier


Preprints from the BDI Pathogen Dynamics team regarding digital contact tracing and other non-pharmaceutical interventions for Covid-19. More details on our website:


Code for ACL 2019 Paper: "COMET: Commonsense Transformers for Automatic Knowledge Graph Construction" https://arxiv.org/abs/1906.05317


A deep learning approach to predicting breast tumor proliferation scores for the TUPAC16 challenge


Bonsai GPU tree code


:mouse: :left_right_arrow: :couple:   An r package that works as a wrapper to homologene


A collection of non-residential buildings for performance analysis and algorithm benchmarking


R Package to Optimize Windfarm Layouts


A Causal-Consistent Reversible Debugger for Erlang


Snippext: Semi-supervised Opinion Mining with Augmented Data


Collection of NLP model explanations and accompanying analysis tools


Package to support the analysis of high-precision astrometry timeseries, in particular the determination of Keplerian orbits.


Tools for single-cell data processing


Marching cubes (and related tools) for Python


viralVerify: viral contig verification tool


Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier


Python-based pulsar search data manipulation package


Hosts the Multiface dataset, which is a multi-view dataset of multiple identities performing a sequence of facial expressions.


A Tool for clone detection and bug detection in smart contracts


Code repository for supporting the paper "Atlas Few-shot Learning with Retrieval Augmented Language Models",(https//arxiv.org/abs/2208.03299)


DoHlyzer is a DNS over HTTPS (DoH) traffic flow generator and analyzer for anomaly detection and characterization.


Bayesian AGN Decomposition Analysis for SDSS Spectra


An implementation of the tools described in the paper entitled "Graphical-model based estimation and inference for differential privacy"


High throughput protein function annotation with Human Readable Description (HRDs) and Gene Ontology (GO) Terms.


Python module for the analysis of light curves from the ESA Cheops mission


Interactive GAN evolution of Mario and Zelda levels.


Python/numpy bootstrap confidence interval estimation.


Tools for dealing with APOGEE data


Illumina analysis pipeline


Basin and Landscape Dynamics model


Export Emissions to Atmospheric Models


Pauvre: QC and genome browser plotting Oxford Nanopore and PacBio long reads.


⛔ DEPRECATED <Python Framework for Reproducible Deep Learning Experiments>


A C++/python library for source modeling in gamma astronomy


R interface to DATRAS trawl database web services


Implementation of the node2vec algorithm.


CBE Thermal Comfort Tool for ASHRAE-55


Modular Analysis and Reconstruction for the LINear Collider


EvoMaster Benchmark (EMB): a set of web/enterprise applications for experimentation in automated system testing


A curated list of awesome Human-AI Interaction


Standardized and Automated MetaBarcoding Analyses workflow (Mirror)


Filters for false-positive mutation calls in NGS


Simulation framework to model and control the tasks of vehicle fleets (routing, user-assignment, charging, ...)


rPPG-Toolbox: Deep Remote PPG Toolbox (NeurIPS 2023)


OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.


Spike, a RISC-V ISA Simulator


Gibbs sampler 4 the Hierarchical Dirichlet Process


Constrained Policy Optimization


Variational Autoencoder with Arbitrary Conditioning


Code for our ICML 2019 paper "Temporal Gaussian Mixture Layer for Videos"


Source code for the paper "Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training"


a python implementation of various versions of the information bottleneck, including automated parameter searching


Memory consumption and FLOP count estimates for convnets


WebRISC-V: A Web-Based Education-Oriented RISC-V Pipeline Simulation Environment [PHP]


Sparse-input neural networks


conlleval in Python (script for chunking/NER evaluation)


a tool for calcualting character n-gram F score


MisGAN: Learning from Incomplete Data with GANs


LightSpeech: Lightweight and Fast Text to Speech with Neural Architecture Search


Code release for Park et al. Multimodal Multimodal Explanations: Justifying Decisions and Pointing to the Evidence. in CVPR, 2018


Mitochondria Analyzer


TensorFlow implementation of "Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks" by Han Zhang, et al.


Adds SPICE metric to coco-caption evaluation server codes


End-to-End Low Cost Compressive Spectral Imaging with Spatial-Spectral Self-Attention


Principal Component Analysis (PCA) for Missing and/or Noisy Data


A platform for targeted annotation of (meta)genomic and (meta)transcriptomic datasets using HMM sets.


Geometric Augmentation for Text Image


Data Programming by Demonstration (DPBD) for Document Classification


A temporal ordering system for events and time expressions in written text.


Deep-learning Transfer Learning models of NTUA-SLP team submitted at the IEST of WASSA 2018 at EMNLP 2018.


Based on the mmdetection framework, compute various salience maps for object detection.


A Pytorch implementation of the optimal transport kernel embedding


This is the Pytorch implementation of Universal Style Transfer via Feature Transforms.


Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"


Code and dataset for Single Underwater Image Restoration by Contrastive Learning, IGARSS 2021, oral.


Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec


RCandy:  an R package for visualising homologous recombination events in bacterial genomes


Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)


The implementation of the paper "Augmenting Neural Response Generation with Context-Aware Topical Attention"


Noise Conditional Score Networks (NeurIPS 2019, Oral)


STEGASURAS: STEGanography via Arithmetic coding and Strong neURAl modelS


Transformation Networks for Target-Oriented Sentiment Classification (ACL 2018)


Reference-based variant calling pipeline for a pair of phased haplotype assemblies


MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation


Code for the paper "Adversarial Self-supervised Contrastive Learning" (NeurIPS 2020)


RiboDiff: Tool to detect changes in translational efficiency based on ribosome footprinting data


A dataset of millions of news articles scraped from a curated list of data sources.


Personalized federated learning codebase for research


Code for MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks


Python implementation of the Mixed-Scale Dense Convolutional Neural Network


TLA+ specification for the Raft consensus algorithm


Code for the intrinsic dimensionality estimate of data representations


The official implementation of the CCS'23 paper, Narcissus clean-label backdoor attack -- only takes THREE images to poison a face recognition dataset in a clean-label way and achieves a 99.89% attack success rate.


A python package to model Circular Economy policy and technological interventions in Environmentally Extended Input-Output Analysis starting from mrSUTs (EXIOBASE V3.3)


PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)


PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation


The source codes for Fine-grained Fact Verification with Kernel Graph Attention Network.


[NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods


Differentially Private Optimization for PyTorch  ♀


CP-JKU submission to DCASE 20


Randomized online matrix factorization


SynVisio is an interactive multiscale visualization tool that lets you explore the results of McScanX a popular synteny and collinearity detection toolkit.


Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.


Quality information extraction at web scale.


Cancer Drug Response prediction using a Recommender System


Vector-Quantized Contrastive Predictive Coding for Acoustic Unit Discovery and Voice Conversion


A machine learning-based system that uses state-of-the-art natural language processing (NLP) question answering (QA) techniques combined with summarization for mining the available scientific literature


aspect-based sentiment classification


GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding


Deduplication based on custom inline DNA barcodes.


Restricted Boltzmann Machines in Python.


Hierarchical Dirichlet processes. Topic models where the data determine the number of topics. This implements Gibbs sampling.


Neural CRF Model for Sentence Alignment in Text Simplification


An implementation of the time dependent variational principle for matrix product states


JRC Hydro-power plants database


[NeurIPS 2019] Deep Leakage From Gradients


Neural network supported GEV beamformer


(ECCVW 2020) Joint Denoising and SR in Microscopy Imaging


IUCN Red List API Client


machine learning package


C Code generation for NMPC


Regional Earth System Model


ETNLP: A toolkit to evaluate, extract, and visualize multiple embeddings


DAGs with NO TEARS: Continuous Optimization for Structure Learning


State-of-the-art metric for Natural Language Generation


Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)


TACL 2020: Syntax-Guided Controlled Generation of Paraphrases


Source code for the paper "Attention Is (not) All You Need for Commonsense Reasoning" published at ACL 2019.


Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.


Hyper optimized contraction trees for large tensor networks and einsums


python tools to check recourse in linear classification


Financial Sentiment Analysis with BERT


A uniform interface for a number of 2D and 3D maps of interstellar dust reddening/extinction.


A phenology modelling framework in R


"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer; and “Good Robot!”: Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer


Bamboo: a morphing smart contract language


Self-Supervision for Named Entity Disambiguation at the Tail


Implementation of "Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image"


Data package: time series of load, wind and solar generation


Lowered Isothermal Model Explorer in Python


Inquisitive Parrots for Search


Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.


A collection of tools for generating, manipulating and - most of all - solving parity games.


Running NGS computing demanding applications, e.g reads mapping and counting, wrapped in docker containers.


binned motif enrichment analysis and visualisation


DeepSphere: a graph-based spherical CNN (PyTorch)


Geospatial Land Availability for Energy Systems


Blade Element Momentum Method for Propellers and Turbines


Kakao Hangul Analyzer III


A benchmark to compare synchronization techniques for multicore programming


Calculate gross GHG emissions, gross carbon removals (sequestration), and net flux from forests globally


Microsoft Collective Communication Library


Specification of the LDBC Social Network Benchmark suite


The Ludii general game system, developed as part of the ERC-funded Digital Ludeme Project.


MagIC is a high-performance code that solves the magneto-hydrodynamics equations in rotating spherical shells


N2D2 is an open source CAD framework for Deep Neural Network simulation and full DNN-based applications building.


EnsEMBL Hive - a system for creating and running pipelines on a distributed compute resource


Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch


Pipeline to annotate sequences at different taxonomic levels using  NCBI's taxonomy


An open-sourced LLM judge for evaluating LLM-generated answers.


Hooks for VCOCO


A pytorch Implementation of Open Vocabulary Object Detection with Pseudo Bounding-Box Labels


A framework for Bayesian optimization of composite functions.


Unsupervised Statistical Machine Translation


fast, memory-efficient, pythonic (and command-line) access to fasta sequence files


Defending graph neural networks against adversarial attacks (NeurIPS 2020)


(WWW 2021) Source code of PC-GNN


Frequency and time-frequency analysis for irregularly sampled time series


categorical variational autoencoder using the Gumbel-Softmax estimator


(WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"


A graph-inspired data structure for determining likely chains of sequences from breadcrumbs of evidence


Analysis pipeline for HST/WFC3 spectroscopic observations of exoplanet transits and eclipses


Robotics Gym Environments


Fast regression modeling framework


Code and additional processed data for manuscript "Tumor and Microenvironment Evolution during Immunotherapy with Nivolumab"; see for manuscript https://doi.org/10.1016/j.cell.2017.09.028  See also http://www.ioexplorer.org for interactive visuallization


train test labels for sunrgbd


Repository to accompany RSS 2018 paper on dexterous hand manipulation


[MICCAI2021] CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation


Webshell && Backdoor Collection


pre-process illumina reads


ToTTo is an open-domain English table-to-text dataset with over 120,000 training examples that proposes a controlled generation task: given a Wikipedia table and a set of highlighted table cells, produce a one-sentence description. We hope it can serve as a useful research benchmark for high-precision conditional text generation.


Scripts to run copynumber variation calls on tumor and normal BAM files using Varscan2


Official PyTorch implementation of NICE-GAN:  Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation


TensorFlow implementation of TabTransformer


Multi-task deep learning framework for multi-omics data analysis


Pytorch implementation of ADNet. (The winning method of the first edition of NTIRE2021 Multi-Frame HDR Challenge)


Mirror of oflops (cbench) from git://gitosis.stanford.edu/oflops.git


CMUdict maintenance, and tools


[ICLR 2018] TensorFlow code for zero-shot visual imitation by self-supervised exploration


Python library for optimizing noisy functions.


PyTorch implementation of the end-to-end coreference resolution model with different higher-order inference methods.


Open Astronomy Catalog API


Contrast-agnostic segmentation of MRI scans


A PyTorch Implementation for Densely Connected Convolutional Networks (DenseNets)


Fair Generative Modeling via Weak Supervision


Solar Radiation and Photovoltaic Systems with R


[ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)


K-CAI NEURAL API - Keras based neural network API that will allow you to create parameter-efficient, memory-efficient, flops-efficient multipath models with new layer types. There are plenty of examples and documentation.


A wide-ranging suite of IDL routines which observational extragalactic astronomers may find useful.


Distributed K-FAC Preconditioner for PyTorch


Evaluating Cross-lingual Sentence Representations


UNFCCC Emissions data from the Detailed Data By Party interface


Official implementation of "DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents"


Rank-based Gene Ontology analysis of gene expression data


The official PyTorch implementation for NCSNv2 (NeurIPS 2020)


【AAAI'2023 & IJCV】Transferring Vision-Language Models for Visual Recognition: A Classifier Perspective


Contains the code for our ICSE 2020 paper: Big Code != Big Vocabulary: Open-Vocabulary Language Models for Source Code and for its earlier pre-print: Maybe Deep Neural Networks are the Best Choice for Modeling Source Code (https://arxiv.org/abs/1903.05734). This is the first open vocabulary language model for code that uses the byte pair encoding algorithm (BPE) to learn a segmentation of code tokens into subword units.


Whole Genome Simulator for Next-Generation Sequencing


PyTorch implementation of LeNet-5 with live visualization


LoRa Network Simulator to Monitor Energy Consumption


[IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains


label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful


A steganalysis tool for detecting LSB steganography in images


Capybara: A computational tool to measure cell identity and fate transitions


Steven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, and Chu-Song Chen, "Compacting, Picking and Growing for Unforgetting Continual Learning," Thirty-third Conference on Neural Information Processing Systems, NeurIPS 2019


Full Python implementation of the ROUGE metric, producing same results as in the official perl implementation.


Code for "One-Shot Visual Imitation Learning via Meta-Learning"


Python library for fast time-series analysis on CUDA GPUs


PyTorch Implementation of "A Hierarchical Latent Structure for Variational Conversation Modeling" (NAACL 2018 Oral)


Variational Autoencoder for Dimensionality Reduction of Time-Series


An open-access benchmark and toolbox for electricity price forecasting


Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.


Pre-trained Language Model for Biomedical Question Answering


all methods related to Enterobase


Trojan Attack on Neural Network


Tool for graph-based image segmentation and analysis


Amplicon sequencing workflow heavily using DADA2 and implemented in snakemake


Sequence-to-sequence TTS based on Kyubyong's dc_tts


Utterance-level Aggregation For Speaker Recognition In The Wild


Calculating ROUGE score between two files (line-by-line)


Train, evaluate, and use different unsupervised topic modelling algorithms using a RESTful API.


Julia Package for Generating Scenario Trees and Scenario Lattices for Multistage Stochastic Optimization


Fastest-lap is a vehicle dynamics simulator. It can be used to understand vehicle dynamics, to learn about driving techniques, to design car prototypes, or just for fun!


A community repository for benchmarking Bayesian methods


A static analyzer for PE executables.


ROS network stack: Topic/service transport over unreliable network connections


Various speech datasets made available to the public


Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations


Code for simulating skies for 21cm Intensity Mapping, including galactic and extragalactic foregrounds.


CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark


Workflow for Optimal Radiomics Classification


Datasets derived from US census data


A tool for retrosynthetic planning


Software for selective inference


Python wrapper for the IBM RXN for Chemistry API


This repository is the working directory for the Garnet-Forest bundle of python scripts for analyzing diverse forms of 'omic' data in a network context.


Research release basecalling models and configurations


Tools for interacting with NOIRLab's Astro Data Lab.


Medical image processing in Python


Mapping glaciers in the Hindu Kush Himalaya, in partnership with ICIMOD.


Renewable Energy Potential (reV) Model


Deprecated. For the latest MIMIC-IV code, please refer to: https://github.com/MIT-LCP/mimic-code


A fast, first order open-access simulator that integrates single plant growth models with inter-plant competition for sun light and water.


Flexible classic and NeurAl Retrieval Toolkit


DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.


The Python micro framework for building web applications.


Climate Watch: Data for Climate Action


Non-Linear Least Squares Minimization, with flexible Parameter settings, based on scipy.optimize, and with many additional classes and methods for curve fitting.


A high performance layer 4 load balancer


Enarx: Confidential Computing with WebAssembly


A non-validating SQL parser module for Python


Learning to align and match videos with kernelized temporal layers


Dataset Batch(offline) Reinforcement Learning for recommender system


Weighted Principal Component Analysis (PCA) in Python


IP102: A Large-Scale Benchmark Dataset for Insect Pest Recognition


Utilizing Deep Learning to detect COVID-19 and Viral Pneumonia from x-ray images


Audio-Visual Event Localization in Unconstrained Videos, ECCV 2018


PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"


neural variational document model


The source code for "Global Context Enhanced Graph Neural Network for Session-based Recommendation".


PyTorch Implementation of Non-autoregressive Expressive (emotional, conversational) TTS based on FastSpeech2, supporting English, Korean, and your own languages.


MATLAB programming tools for radiomics analysis


Implementation of DeepJDOT in Keras


Code for calculating the sensitivity of 21cm experiments to the EoR power spectrum


Simple implementation of OpenAI CLIP model in PyTorch.


ECCV2020 paper: Fashion Captioning: Towards Generating Accurate Descriptions with Semantic Rewards. Code and Data.


2nd place solution for Kaggle Deepfake Detection Challenge


Code and data for "Target-oriented Opinion Words Extraction with Target-fused Neural Sequence Labeling" (NAACL2019)


Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"


Coding-Non-Coding Index (CNCI)


[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)


Tensorflow Implementation of Knowledge-Guided CVAE for dialog generation ACL 2017. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU


Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlight).


Modular Python Toolbox for Fairness, Accountability and Transparency Forensics


2019新型冠状病毒疫情时间序列数据仓库 | COVID-19/2019-nCoV Infection Time Series Data Warehouse


ClusterMap is an R package to analyze and compare two or more single cell expression datasets.


1st Solution For ICDAR 2021 Competition on Mathematical Formula Detection（公式检测冠军方案）


Compute postmortem damage patterns and decontaminate ancient genomes


【CVPR'2023】Bidirectional Cross-Modal Knowledge Exploration for Video Recognition with Pre-trained Vision-Language Models


Create adversarial attacks against machine learning Windows malware detectors


Python package to study microbial communities using metabolic modeling.


Script for parsing SAM/BAM files for coverage statistics


a tool for predicting mitochondrial DNA deletions using soft-clipping


Regression-based annotation of protein-coding sequences from ribosome profiling data


Alluvial diagrams


Multi-Task Deep Neural Networks for Natural Language Understanding


Implementations of ResNets for volumetric data, including a vanilla resnet in 3D.


A data set of 20 million calculated off-equilibrium conformations for organic molecules


BETO - Spanish version of the BERT model


Neural Code Comprehension: A Learnable Representation of Code Semantics


Personalized federated learning simulation platform with non-IID and unbalanced dataset


spaCy + UDPipe


Easy access to high-resolution daily climate data for Europe


Python wrapper for Synoptic Data API. Retrieve data from thousands of mesonet stations and networks. Returns JSON from Synoptic as Pandas DataFrame: https://developers.synopticdata.com


Netflux is a user-friendly software for developing dynamic computational models of biological networks. Models are created in Excel format and then simulated using the Netflux graphical interface. No computer programming is required. Netflux is written in MATLAB, with binary versions available for Windows and MacOS.


Working directory for dynamics learning for experimental robots.


Baseline model for nocaps benchmark, ICCV 2019 paper "nocaps: novel object captioning at scale".


CUDA-accelerated Fully Homomorphic Encryption Library


Pytorch implementation of HighRes-net, a neural network for multi-frame super-resolution, trained and tested on the European Space Agency’s Kelvin competition. This is a ServiceNow Research project that was started at Element AI.


A library for distributed ML training with PyTorch


Python package to Create, Read, Write, Edit, and Visualize GSFLOW models


Python library for bio-inspired computational intelligence


Bloom-filter based minimal perfect hash function library