2 ~ 6 sets venn diagram for python


End-to-end learning for semiquantitative rating of COVID-19 severity on Chest X-rays. Additional material and updates.


Fast Radio Burst Population Synthesis in Python


a Python implementation of proper image subtraction (Zackay, Ofek & Gal-Yam 2016, ApJ, 830, 27)


Large Deformation Diffeomorphic Image Registration with Laplacian Pyramid Networks


A collection of modular datasets generated by GPT-4, General-Instruct - Roleplay-Instruct - Code-Instruct - and Toolformer


MeetEval - A meeting transcription evaluation toolkit


[CADL'22, ECCVW] Official repository of paper titled "EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications".


a "minimal buy-in" FITS library and utility package for astronomical data analysis


goben is a golang tool to measure TCP/UDP transport layer throughput between hosts.


AAAI-20 paper: Cross-Lingual Natural Language Generation via Pre-Training


A header-only C++ library for L-BFGS and L-BFGS-B algorithms


Julia package that downloads satellite measurements and observational data


Can Neural Networks Crack Sudoku?


Python implementation of the Global Sky Model (GSM) for the radio sky between 10 MHz - 5 THz


Model Predictive Control for Quadrotors with extension to Perception-Aware MPC


Computer generated building footprints for Canada


icSHAPE pipeline


Grounded conversational dataset for end-to-end conversational AI (official DSTC7 data)


Hands-On Image Generation with TensorFlow 2.0, published by Packt


A framework for Quantification written in Python


A python wrapper for Speech Signal Processing Toolkit (SPTK).


Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.


PDDLStream: Integrating Symbolic Planners and Blackbox Samplers


Preliminary DRAGON2 with the various cross section options


R  for flood forecasting via the National Water Model


R wrapper for Van der Maaten's Barnes-Hut implementation of t-Distributed Stochastic Neighbor Embedding


:bug:  Legacy dragonfly plugin for large-scale climate and urban heat island modeling.


iFEM is a MATLAB software package containing robust, efficient, and easy-following codes for the main building blocks of adaptive finite element methods on unstructured simplicial grids in both two and three dimensions.


ABIDES: Agent-Based Interactive Discrete Event Simulation


THE Deep Learning Benchmarks


16S taxonomy assignment using an ecosystem-specific database.


Comprehensive list of known attack vectors and common anti-patterns


An implementation of the 3SPN2 and 3SPN2.C coarse-grained DNA forcefields in OpenMM


Monitorización de alumnos en la plataforma Moodle


A Python wrapper for the NOAA CO-OPS Tides & Currents Data and Metadata APIs.


Tools and Modeling Code for the MASSIVE dataset


A surrogate benchmark for neural architecture search


Summary of related papers on visual attention. Related code will be released based on Jittor gradually.


Interface to the public ECMWF API Web Services


Experimental pipeline for correcting nanopore reads


A software toolkit for gravity field recovery and GNSS processing


Thot toolkit for statistical machine translation


SAGECal is a fast, memory efficient and GPU accelerated radio interferometric calibration program. It supports all source models including points, Gaussians and Shapelets. Distributed calibration using MPI and consensus optimization is enabled. Both spectral and spatial priors can be used as constraints. Tools to build/restore sky models are included.


AntroPy: entropy and complexity of (EEG) time-series in Python


This repository contains a several tutorials for using the ECCO Central Production Version 4 ocean and sea-ice state estimate. Individiual lessons are provided as both Juypter notebooks (Tutorials_as_Jupyter_Notebooks/ ) and Python file (Tutorials_as_Python_Files/).


Load fMRIprep confounds in python


FUND - Climate Framework for Uncertainty, Negotiation and Distribution


Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.


PyRate is a program to estimate speciation, extinction, and preservation rates from fossil occurrence data using a Bayesian framework.


ASER (Activities, States, Events, and their Relations): a large-scale weighted eventuality knowledge graph.


:crown: Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA


Open source software for medical image processing from the Empenn team


A curated list of awesome deep learning applications in the field of computational biology


Toolbox for segmentation and characterisation of transient connectivity


Supernova Analysis package


Architecture-level Fault Injection Tool for GPU Application Resilience Evaluation


(ICCV'19 Best Paper Nomination) Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation


Sanity check Variant Call Format (VCF) files.


A small program that glues together other programs allowing a user to input a codon alignment in FASTA format and produce an annotated phylogenetic tree showing which substitutions occurred on a given branch. Originally written for colleagues at the MRC NIMR.


Modality-Agnostic Attention Fusion for visual search with text feedback


Creative Commons Attribution Share Alike 4.0 International

Intonation-aided intention identification for Korean


An implementation FGNN.


Code release for "Learning Shape Abstractions by Assembling Volumetric Primitives " (CVPR 2017)


PyTorch implementation of DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism (focused on DiffSpeech)


New dataset


COmmon COordinate FRAMEwork in R


Lagrangian Neural Networks


[NeurIPS2023] This is the official inference code of the paper "GlyphControl: Glyph Conditional Control for Visual Text Generation"


a Fine-tuned LLaMA that is Good at Arithmetic Tasks


COVID-CXNet: Diagnosing COVID-19 in Frontal Chest X-ray Images using Deep Learning. Preprint available on arXiv: https://arxiv.org/abs/2006.13807


Package for simulating nonlinear optical spectra


Differentiable Learning of Logical Rules for Knowledge Base Reasoning


TensorFlow Implementation of FOTS, Fast Oriented Text Spotting with a Unified Network.


kmerfreq count K-mer (with size K) frequency from the input sequence data, typically sequencing reads data, and refe rence genome data is also applicable.  Kmerferq output file can be used as input file of either version of GCE (Genomic character estimator).


Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural training.


Code for training PhysNet models


The Continuous Convolution Operator Tracker (C-COT).


An implementation that downstreams pre-trained V+L models to VQA tasks. Now support: VisualBERT, LXMERT, and UNITER


A pytroch implementation of the GAN-TTS: HIGH FIDELITY SPEECH SYNTHESIS WITH ADVERSARIAL NETWORKS


The corresponding code for our paper: "Exploring the Challenges of Open Domain Multi-Document Summarization". Do not hesitate to open an issue if you run into any trouble!


Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch


Soft Threshold Weight Reparameterization for Learnable Sparsity


A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role Labeling


Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)


A Java implementation of the Acme Air Sample Application.


A customizable framework to create maze and gridworld environments


A dataset containing story plots from Wikipedia (books, movies, etc.) and the code for the extractor.


Code for EMNLP18 paper "Spherical Latent Spaces for Stable Variational Autoencoders"


Tools for power sector emissions tracking


Lane Detection with Deep Learning - My Capstone project for Udacity's ML Nanodegree


A python implementation of Patchy-San Convolutional Network for Graph


A box-model that automatically creates and solves equations used to describe the evolution in atmospheric composition using Python with Numba and, optionally, Fortran.


Repository for the Paper (preprint) --- Visual Adversarial Examples Jailbreak Large Language Models


An other implementation of GRU4REC using PyTorch


WavEncoder is a Python library for encoding audio signals, transforms for audio augmentation, and training audio classification models with PyTorch backend.


Pipeline for the Semantic Segmentation (i.e., classification) of Remote Sensing Imagery


De novo annotation of young retrotransposons


UniRep model, usage, and examples.


An open-source deep learning platform for annotation-efficient medical image computing


DriverPower


Bayesian neural network package


Python wrappers for accessing Forest Observatory data via the Salo API


A data package containing lexicons and dictionaries for text analysis


code for model-targeted poisoning


Java package that provides data structures and algorithms for network analysis.


Graph Neural Network based Social Recommendation Model. SIGIR2019.


The MAGSAC algorithm for robust model fitting without using an inlier-outlier threshold


Builds wordpiece(subword) vocabulary compatible for Google Research's BERT


MD trajectory analysis using protein-ligand Interaction Fingerprints


An Energy Information Administration (EIA) API python client for researchers who just need data.


A tool to assess the quality and distribution of genomic data


Repository for the pyCloudy package


This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).


Deep Recommenders


Statistical NLG for spoken dialogue systems


Efficient Low-Memory Aligner


Matlab routines for online non-rigid motion correction of calcium imaging data


Code for FOCAL Paper Published at ICLR 2021


A ready-to-go Python toolbox for seismic data analysis


Finmag source


Synaptic Plasticity with Online Reinforcement learning


Classifies galaxy morphology with Bayesian CNN


Comparing fairness-aware machine learning techniques.


An open source Python server to deploy energy management solutions for buildings


Strong baseline for visual question answering


Total Text Dataset. It consists of 1555 images with more than 3 different text orientations: Horizontal, Multi-Oriented, and Curved, one of a kind.


Entity And RELation mapping


[EMNLP 2022] Unifying and multi-tasking structured knowledge grounding with language models


Data repository of Project Coswara


DeepPrivacy2 - A Toolbox for Realistic Image Anonymization


Rule-based token, sentence segmentation for Russian language


GoldenEye Layer 7 (KeepAlive+NoCache) DoS Test Tool


matlab and python wrap of crf and dense crf, both 2d and 3d are supported


Deep neural models for core NLP tasks (Pytorch version)


Multi-Objective Reinforcement Learning algorithms implementations.


HiDimStat: High-dimensional statistical inference tool for Python


Deep Learning and Logical Reasoning from Data and Knowledge


Hydrological Deep Learning


Download geospatial data from GISCO API - Eurostat


Python implementation of TPC-C


OFFICIAL: AnteChamber PYthon Parser interfacE


An ensemble approach to accurately detect somatic mutations using SomaticSeq


custom resolver


APT & CyberCriminal Campaign Collection


Concolic Testing for Deep Neural Networks


Scrappie is a technology demonstrator for the Oxford Nanopore Research Algorithms group


Python/numba code for manipulating time-dependent functions of spin-weighted spherical harmonics on future null infinity


Iterative hard thresholding for l0 penalized regression


distributed trainer for LLMs


Soil Incubation Database sidb


A Latex style and template for paper preprints (based on NIPS style)


A tool for holistic analysis of language generations systems


2019 novel coronavirus repository


Monte Carlo eXtreme (MCX) - GPU-accelerated photon transport simulator


Bitextor generates translation memories from multilingual websites


Repository for Digital Earth Africa Sandbox, including: Jupyter notebooks, scripts, tools and workflows for geospatial analysis with Open Data Cube and xarray


Python Matrix Factorization Module


A python app to predict Att&ck tactics and techniques from cyber threat reports


This is the PyTorch implementation of VGG network trained on CIFAR10 dataset


Application for making ENCODE Blacklists


TensorFlow implementation of focal loss


Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined with model-based control.


ReActNet: Towards Precise Binary NeuralNetwork with Generalized Activation Functions. In ECCV 2020.


Local Light Field Synthesis (Pratul P. Srinivasan, Tongzhou Wang, Ashwin Sreelal, Ravi Ramamoorthi, Ren Ng ICCV 2017)


Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo


Source Code for DialogWAE: Multimodal Response Generation with Conditional Wasserstein Autoencoder (https://arxiv.org/abs/1805.12352)


A resistome profiler for Graphing Resistance Out Of meTagenomes


KonIQ-10k Deep Learning Models


Datasets for remote sensing images (Paper:Exploring Models and Data for Remote Sensing Image Caption Generation)


Code for "Superquadrics Revisited: Learning 3D Shape Parsing beyond Cuboids", CVPR 2019


FixCaps: An Improved Capsules Network for Diagnosis of Skin Cancer，DOI: 10.1109/ACCESS.2022.3181225


Code for Video Deepfake Detector from "MINTIME: Multi-Identity Size-Invariant Video Deepfake Detection", pre-print available on Arxiv


Structured matrices for compressing neural networks


PyTorch implementation of 'Squeeze and Excite' Guided Few Shot Segmentation of Volumetric Scans


Source code for "A Lightweight Recurrent Network for Sequence Modeling"


Code corresponding to our paper "A Graph-to-Sequence Model for AMR-to-Text Generation"


Towards increasing stability of neural networks for continual learning: https://arxiv.org/abs/2006.06958.pdf (NeurIPS'20)


Code and information for face image quality assessment with SER-FIQ


Code for NeurIPS 2019 paper "Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis"


Mol2vec - an unsupervised machine learning approach to learn vector representations of molecular substructures


A Re-implementation of Fixed-update Initialization


EyeQ : Dataset of Retinal Image Quality Assessment


A concise but complete implementation of CLIP with various experimental improvements from recent papers


This is the official implementation of the paper AGAIN-VC: A One-shot Voice Conversion using Activation Guidance and Adaptive Instance Normalization.


Known and Novel IsoForm Explorer. Statistically based splicing detection for circular and linear isoforms


Derive the optimal cache hit ratio for Internet request traces with variable object sizes.


Finding Tiny Faces in PyTorch


[NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations


[ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang;      [WSDM 2022] "Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen


Denoising Diffusion Implicit Models


General purpose Matlab toolbox


Label-Efficient Semantic Segmentation with Diffusion Models (ICLR'2022)


Code for "Latent ODEs for Irregularly-Sampled Time Series" paper


Official implementation of our FLAG paper (CVPR2022)


Unsorted scripts for bioinformatics


highly-efficient & lightweight mutation signature matrix aggregation


Scene Graphs with Permutation-Invariant Structured Prediction


A Java implementation of Shamir's Secret Sharing algorithm over GF(256).


Implementation of Federated Learning to Person Re-identification (Code for ACMMM 2020 paper)


R package for fitting joint models to time-to-event and longitudinal data


RepEnrich2 is an updated method to estimate repetitive element enrichment using high-throughput sequencing data.


The Galaxy Cluster ‘Pypeline’ for X-ray Temperature Maps


Forward and Inverse Radiative Transport using the Adding-Doubling method


Tensorflow implementation of 'Visual Feature Attribution using Wasserstein GANs'


Fast interstellar dust extinction laws in Python


Detect and align similar passages


Preprocessed Python functions and docstrings for automated code documentation (code2doc) and automated code generation (doc2code) tasks.


Analysis of EBOV genome sequence from Guinea, Sierra Leone and Liberia from 2014-2016


an AI algorithm for detecting trash in geolocated images


Code for "Typilus: Neural Type Hints" PLDI 2020


My version of Dunc Lorimer's public free searching software


A simple memory manager for CUDA designed to help Deep Learning frameworks manage memory


Large-scale multi-document summarization dataset and code


Official implementation for NIPS'17 paper: PredRNN: Recurrent Neural Networks for Predictive Learning Using Spatiotemporal LSTMs.


Conceptual Captions is a dataset containing (image-URL, caption) pairs designed for the training and evaluation of machine learned image captioning systems.


harmonization, liftover, and imputation of summary statistics from GWAS


Force Fields


Implementations of Reinforcement Learning Models in Tensorflow


Scribbles or Points-based weakly-supervised learning for medical image segmentation, a strong baseline, and tutorial for research and application.


Bird tracking - GPS tracking network for large birds


Type4Py: Deep Similarity Learning-Based Type Inference for Python


Covid-19 Twitter dataset for non-commercial research use and pre-processing scripts - under active development


SHAP (SHapley Additive exPlnation) visualization for 'XGBoost' in 'R'


Calculate syllable count for English words.


ROSE2 python package


EfficientDet (Scalable and Efficient Object Detection)  implementation in Keras and Tensorflow


Spectral energy distribution construction and analysis tools


BISulfite-seq CUI Toolkit


Hyperbolic Embeddings


suite to deal with passband photometry


Gaussian word embeddings


R-Based API for accessing the MSKCC Cancer Genomics Data Server (CGDS)


Simple tools to work with the Initial Mass Function


A tool for learning vector representations of words and entities from Wikipedia


Capacity Expansion Problem Formulation for Julia


Provides a function to measure the energy usage of another function.


Astronomy related procedures in the commercial IDL language


Bioinformatics tool to find integrons in bacterial genomes


Python version of Barycorr


A simulation library for Agility Robotics' Cassie robot using MuJoCo


Pytorch implementation of FlowNet by Dosovitskiy et al.


A coupled structural solver written with the C++ finite element library deal.II


Meta-pipeline to identify transposable element insertions using next generation sequencing data


A GPipe implementation in PyTorch


Create and maintain phylogenetic "reference packages" of biological sequences.


List of major cities of the world as a datapackage


A Python library for Secure and Explainable Machine Learning


Everything within the Land model (Soil Plant Atmosphere Module, Land Hydrology, etc)


An introduction to our Answer Set Programming tools focusing on gringo, clingo, and clasp.


A simulator of malaria epidemiology and control


MIDI / symbolic music tokenizers for Deep Learning models


Code for the in-dev PrediXcan Project


Library for fast text representation and extreme classification.


Simulating Annealing Network Aligner


High-order Lagrangian Hydrodynamics Miniapp


:house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.


[WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"


The source code of ISWC2020 paper "Temporal Knowledge Graph completion based on time series Gaussian embedding " and COLING2020 paper "TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation "


Repository for the One class neural networks paper


Dataset of prompts, synthetic AI generated images, and aesthetic ratings.


Code for Shifted Diffusion for Text-to-image Generation (CVPR 2023)


Pretrained bag-of-local-features neural networks


Smartian: Enhancing Smart Contract Fuzzing with Static and Dynamic Data-Flow Analyses (ASE '21)


Emmanoulopoulos style lightcurve simulation


Connectivity between the World Wide Charging Protocol (WWCP) and the Open Charge Point Protocol (OCPP v1.6/v2.0.1/v2.1).


Action-based galaxy modeling framework


A collection of implementations of adversarial domain adaptation algorithms


Zero-Shot Semantic Segmentation


CURE-TSR: Challenging Unreal and Real Environments for Traffic Sign Recognition


Gradient boosted decision trees for multiple outputs. Better generalization ability, faster training and inference.


SPH code for compressible flows


A bounded multi-producer multi-consumer concurrent queue written in C++11


abawaca is a binning program for metagenomics


R package for specialised analysis of single cell data


[CVPR 2019, Oral] "Collaborative Global-Local Networks for Memory-Efﬁcient Segmentation of Ultra-High Resolution Images" by Wuyang Chen*, Ziyu Jiang*, Zhangyang Wang, Kexin Cui, and Xiaoning Qian


Q-attention (within the ARM system) and coarse-to-fine Q-attention (within C2F-ARM system).


Code and data for "TURL: Table Understanding through Representation Learning"


Source code for "Bi-modal Transformer for Dense Video Captioning" (BMVC 2020)


A package to annotate protein sequences


Dilated CNNs for NER in TensorFlow


A Constrained Text Generation Challenge Towards Generative Commonsense Reasoning


An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.)


Automates running of OrthoMCL software from http://orthomcl.org/common/downloads/software/v2.0/


A high-performance Atari A3C agent in 180 lines of PyTorch


MSE5540/6640 Materials Informatics course at the University of Utah


Automatic mapping of compiled circuits to low-noise sub-graphs


A framework for inference and testing of software behaviour.


A pipeline for performing genome-wide association tests for bacterial genomes.


The implementation of Temporal Generative Adversarial Nets with Singular Value Clipping


A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost (CVPR-W21).


Visual Room Rearrangement


[DEPRECATED] Command line tools for recording, replaying and mirroring touchscreen events for Android


Runtime verification tool for Solidity smart contracts.


Guidelines.


[ICLR2021] Unlearnable Examples: Making Personal Data Unexploitable


iBOT :robot:: Image BERT Pre-Training with Online Tokenizer (ICLR 2022)


Mixed graph Laplacian upscaling and solvers


Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).


Program for generating load curves for residential consumers. Agentbased and extremly detailed.


INNUENDO quality control of reads, de novo assembly and contigs quality assessment, and possible contamination search


High-definition likelihood inference of genetic correlations (HDL)


Panoramic stitching of single cell data


Functions to support the ICES Transparent Assessment Framework


Python package for Sentential Decision Diagrams (SDD)


dandelion - A single cell BCR/TCR V(D)J-seq analysis package for 10X Chromium 5' data


MilliCar - An ns-3 Module for mmWave NR V2X Networks


The project is a platform of zero learning with a library of games.


Harmonization tools for multi-site neuroimaging analysis. Implemented as a python package. Harmonization of MRI, sMRI, dMRI, fMRI variables with support for NIFTI images. Complements the work in Neuroimage by Pomponio et al. (2019).


STAR based ENCODE Long RNA-Seq processing pipeline


Library for computing persistent homology


docTTTTTquery document expansion model


Document Image Binarization


Batch balanced KNN


Learning Certifiably Optimal Rule Lists


Single Cell Analysis Pipelines


A language for symbolic transitions system, inspired by Ivy.


A free audio dataset of spoken digits. An audio version of MNIST.


PyGBe: Python, GPUs and Boundary elements for electrostatics


Benchmark environments for reward modelling and imitation learning algorithms.


PyTorch implementations of neural network models for keyword spotting


Open source version of the original ISET, a complement to ISETBIO


Keras Temporal Convolutional Network.


Comparison tools


FeAture Explorer


A Wikidata Python module integrating the MediaWiki API and the Wikidata SPARQL endpoint


Netflow processing tools


A fork of Caffe with OpenMPI-based Multi-GPU (mainly data parallel) support for action recognition and more. More documentation please see the original readme.


Asteroid Thermal Modeling


Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"


Counter-fitting Word Vectors to Linguistic Constraints


A library for performing coverage guided fuzzing of neural networks


[CVPR 2018] Cross-View Image Synthesis using Conditional GANs, [CVIU 2019] Cross-view image synthesis using geometry-guided conditional GANs


An implementation of the Augmented Random Search algorithm


Data and code for "A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization" (ACL 2020)


Calculating carbon emissions in R


Code release for "PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning" (ICML 2018)


Official Implementation of "A Hierarchical Network for Abstractive Meeting Summarization with Cross-Domain Pretraining""


Visual Speech Recognition for Multiple Languages


PyTorch code for EMNLP 2020 Paper "Vokenization: Improving Language Understanding with Visual Supervision"


analyze text with empath


gvnn: Geometric Vision with Neural Networks


Slot-Gated Modeling for Joint Slot Filling and Intent Prediction


Toolkit to Hack Your Deep Learning Models


Train Dense Passage Retriever (DPR) with a single GPU


MPNet: Masked and Permuted Pre-training for Language Understanding   https://arxiv.org/pdf/2004.09297.pdf


Pytorch implementation of the paper "The Devil Is in the Details: Window-based Attention for Image Compression".


This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).


DeepSpeech based forced alignment tool


COYO-700M: Large-scale Image-Text Pair Dataset


Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"


A toolbox for differentially private data generation


Any-to-any voice conversion by end-to-end extracting and fusing fine-grained voice fragments with attention


LiTL: Library for Transparent Lock Interposition


Code for the calculation and implementation of the PC Based epigenetic clocks


Code for ICML2020 paper - CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information


Code to reproduce the results in the FAIR research papers "Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples" https://arxiv.org/abs/2104.13963 and "Supervision Accelerates Pre-training in Contrastive Semi-Supervised Learning of Visual Representations" https://arxiv.org/abs/2006.10803


A suite of MiniZinc benchmarks.


MCMC Sampler for Performing Bayesian Inference on Continuous Time Autoregressive Models.


Work for the tree sequence inference paper.


Data and codes for ACL 2021 paper: Towards Emotional Support Dialog Systems


A python package for battery models


Image segmentation of cultivated land


A dotplot generator for large chromosomes


Color palette package in R inspired by works at the Metropolitan Museum of Art in New York


Nonlinear measures for dynamical systems (based on one-dimensional time series)


Set of matlab functions for EEG io, preprocessing, analysis from the Center for Sleep and Consciousness, University of Wisconsin (csc)


Spectral Clustering for Interstellar Molecular Emission Segmentation


High-performance implementation of SLIM-based approaches for Top-N recommendation


Open-source reinforcement learning environment for autonomous racing — featured as a conference paper at ICCV 2021 and as the official challenge tracks at both SL4AD@ICML2022 and AI4AD@IJCAI2022. These are the L2R core libraries.


pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis


The Kyoto Text Analysis Toolkit for word segmentation and pronunciation estimation, etc.


Qclib is a quantum computing library implemented using qiskit. The focus of qclib is on preparing quantum states, but it is not limited to that.


Repository for the GA4GH Benchmarking Team work developing standardized benchmarking methods for germline small variant calls


The 'exploitable' GDB plugin


A script that creates train, valid and test datasets for the ranking task from Ubuntu corpus dialogs.


Open Movement devices are miniature, embeddable, open source sensors developed at Newcastle University, UK. The source code for the firmware and software is available under a BSD 2-clause license, and the hardware (PCB designs, layouts and schematics), enclosure designs and documentation are available under a Creative Commons 3.0 BY Attribution License.


Supplementary Materials for Tshitoyan et al. "Unsupervised word embeddings capture latent knowledge from materials science literature", Nature (2019).


[ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).


Simple Diff Function implemented in Python, PHP, CoffeeScript, and JavaScript


Overview of the data QC, code, and GWAS summary output from the 2017 UK Biobank data release


a library for named entity recognition developed by UF HOBI NLP lab featuring SOTA algorithms


Package for local graph clustering


KnowFlow Automatic Water Monitoring device is an open sourced tool enable everyone having access to first hand water quality data with low cost.


Methods for the parallel and distributed analysis and mining of the Protein Data Bank using MMTF and Apache Spark.


Python module for Simulated Annealing optimization


An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.


TextAugment: Text Augmentation Library


Library for multidimensional numerical integration with four independent algorithms: Vegas, Suave, Divonne, and Cuhre.


PESQ (Perceptual Evaluation of Speech Quality) Wrapper for Python Users (narrow band and wide band)


Repository for mini-projects in the Data science for Sustainable development project


Palmetto is a quality measuring tool for topics


Multilocus sequence typing by blast using the schemes from PubMLST


✂ Automated high-quality background removal framework for an image using neural networks. ✂


A library and collection of scripts to work with Illumina paired-end data (for CASAVA 1.7+ pipeline).


Datasets, code and virtual workspace for the Climate Change ATLAS


QIIME 2 plugin supporting taxonomic classification


The DESPOT online POMDP solver


a python based software for visualization of neuroanatomical and morphological data.


Calculate quasi-harmonic free energies from Gaussian output files with temperature and other corrections


What you need to process the Quarterly DepMap-Omics releases from Terra


Python framework for processing Universal Dependencies data


Finite DIfference microMAGnetic code, based on Python, Cython and C


Conversion of IPCC documents into semantic form


Machine learning for multivariate data analysis through the Riemannian geometry of symmetric or Hermitian positive definite matrices in Python


This tool lets you search your gadgets on your binaries to facilitate your ROP exploitation. ROPgadget supports ELF, PE and Mach-O format on x86, x64, ARM, ARM64, PowerPC, SPARC, MIPS, RISC-V 64, and RISC-V Compressed architectures.


Pangeo website + discussion of general issues related to the project.


[IMPORTANT: not for real data analysis, only for algorithm evaluation] fast and accurate alignment tool for PacBio and Nanopore long reads


Official code repository for the EMNLP 2021 paper


CM-GAN for Image Inpainting


Official repository for CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability


Using Catalyst.RL to train a robot to perform peg-in-hole insertion in simulation.


predict stability change upon mutation


Pytorch Implementation of DOLG (ICCV 2021)


A Deep Dynamic Memory Model for Predictive Medicine


[AAAI 2018] Memory Fusion Network for Multi-view Sequential Learning


Code for the ACL 19 paper "Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards"


Annotate DNA sequences for Gene Ontology terms


Adversarial Attack on Graph Structured Data (https://arxiv.org/abs/1806.02371)


Heuristic based boilerplate removal tool


iSTFTNet : Fast and Lightweight Mel-spectrogram Vocoder Incorporating Inverse Short-time Fourier Transform


Fast and memory-efficient sequencing error corrector


[CVPR 2019]: Pluralistic Image Completion


Neural Essay Assessor: An Automated Essay Scoring System Based on Deep Neural Networks


A Non-Autoregressive Transformer based Text-to-Speech, supporting a family of SOTA transformers with supervised and unsupervised duration modelings. This project grows with the research community, aiming to achieve the ultimate TTS


今日头条中文新闻（文本）分类数据集


Query-Reduction Networks (QRN)


Methods for the parallel and distributed analysis and mining of the Protein Data Bank using MMTF and Apache Spark.


Analytic sampler compiler for combinatorial systems


Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.


Fast approximate Shapley values in R


mity: A highly sensitive mitochondrial variant analysis pipeline for whole genome sequencing data


C# client for General Bikeshare Feed Specification (GBFS)


UNMAINTAINED - use klusta instead


An R Package for downloading, preprocessing, and statistical downscaling of the European Centre for Medium-range Weather Forecasts ReAnalysis 5 (ERA5) family provided by the European Centre for Medium‐Range Weather Forecasts (ECMWF).


Julia package for finding the spectral measure of structured self adjoint operators


A CLI tool/python module for generating images from text using guided diffusion and CLIP from OpenAI.


Multi-Omics Factor Analysis


A public resource for microbiome bioinformatics benchmarking using artificially constructed (i.e., mock) communities.


Modular Multi-scale Integrated Genome Graph Browser


Library with search algorithms for task and path planning for multi robot/agent systems


Routines used by the USGS Coastal/Marine Hazards & Resources Program to process oceanographic time-series data


Diffusion map based embedding and alignment


Simple heat and power model of Germany


The Global WordNet Association Collaborative Inter-Lingual Index


V2E: From video frames to DVS events


An open source and free tool to export terrain elevation, landuse, and georeferencing to NIST FDS for computational fluid dynamics (CFD) wildfire or atmospheric pollutants dispersion simulations.


Image registration using pytorch


Python library for CMA Evolution Strategy.


Access to Biological Collection Data (ABCD)


P4 Applications WG repo


This is the codebase for Recycler, described in our manuscript: https://academic.oup.com/bioinformatics/article/33/4/475/2623362, by Roye Rozov, Aya Brown Kav, David Bogumil, Naama Shterzer, Eran Halperin, Itzhak Mizrahi, and Ron Shamir


Baseline Recipe for VoicePrivacy Challenge 2022: anonymization systems and evaluation software


Statistical fine-mapping pipeline in FinnGen


An R package to import Water Survey of Canada hydrometric data and make it tidy


R package for downloading weather data from Environment and Climate Change Canada


Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"


An implementation of KFAC for TensorFlow


CMU US English Dictionary


Download data from the Oregon PRISM climate data project http://www.prism.oregonstate.edu/


Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation


Ordinal regression algorithms


AgentVerse  is designed to facilitate the deployment of multiple LLM-based agents in various applications, which primarily provides two frameworks: task-solving and simulation


Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at


A python extension for quick access to bigWig and bigBed files


The Intermediate Complexity Atmospheric Research model (ICAR)


Genome Assembly and Annotation Service code


A living benchmark framework for symbolic regression


Core modules used by the GMS


中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理


Mirror of Apache Struts


ICLR 2018 Quick-Thought vectors


Generic model checker for concurrent C programs (mirror repository)


Data for the quantitative study of (Vedic) Sanskrit


Identify and find telomeres, or telomeric repeats in a genome.


VITS2: Improving Quality and Efficiency of Single-Stage Text-to-Speech with Adversarial Learning and Architecture Design


Automatic colorizaton of grayscale images using Deep Learning


resample and coadd FITS images to an arbitrary astrometric projection


Annotated dataset of 100 works of fiction to support tasks in natural language processing and the computational humanities.


BERTje is a Dutch pre-trained BERT model developed at the University of Groningen. (EMNLP Findings 2020) "What’s so special about BERT’s layers? A closer look at the NLP pipeline in monolingual and multilingual models"


Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks


Benchmarking and Visualization Tool for Adversarial Machine Learning


Official PyTorch Implementation of Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors


Semantic Propositional Image Caption Evaluation


Dataset and codes for ACL 2019 DocRED: A Large-Scale Document-Level Relation Extraction Dataset.


A tool for automatic spelling normalization


D2-Net: A Trainable CNN for Joint Description and Detection of Local Features


Project for paper "Learning 3D Human Dynamics from Video"


A place to share problems solved with SciANN


This repository is the implementations of the paper "MR-based Synthetic CT Generation using Deep Convolutional Neural Network Method," Medical Physics 2017.


Concept Bottleneck Models, ICML 2020


Pytorch Implementation of Google BERT


The official implementation of the Molecule Attention Transformer.


Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games


Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos


Project for Connectionist Temporal Classification with Maximum Entropy Regularization.


This is a Torch implementation of ["Deep Residual Learning for Image Recognition",Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun](http://arxiv.org/abs/1512.03385) the winners of the 2015 ILSVRC and COCO challenges.


Assembler for NVIDIA Maxwell architecture


R data package for annotating/converting Gene IDs


Official repository for the paper "Instance-Conditioned GAN" by Arantxa Casanova, Marlene Careil, Jakob Verbeek, Michał Drożdżal, Adriana Romero-Soriano.


Reference implementation of the paper VERSE: Versatile Graph Embeddings from Similarity Measures


rapidtide - a suite of programs for doing time lag correlation analysis on fMRI data


NTT-based Fast Lattice library


Precision Radio Interferometry Simulator (for radio astronomy applications)


A package to quickly visualise risk-of-bias assessment results


Topology Optimization using Python


Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)


In silico prediction of E. coli serotype


A simple toolkit for reading and manipulating beams from astrophysical radio spectral data cubes.


Depth-weighted De-Mixing


Code to compute permutation and drop-column importances in Python scikit-learn models


The automatically differentiable and GPU-compatible toolkit for CMB analysis.


XSBench: The Monte Carlo Macroscopic Cross Section Lookup Benchmark


Graph convolutions in Keras with TensorFlow, PyTorch or Jax.


SoTA Abstract Meaning Representation (AMR) parsing with word-node alignments in Pytorch. Includes checkpoints and other tools such as statistical significance Smatch.


Facepager was made for fetching public available data from YouTube, Twitter and other websites on the basis of APIs and webscraping.


中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)


A high-level Python library for Quantum Natural Language Processing


American Gut open-access data and IPython notebooks


Graphical Fragment Assembly (GFA) Format Specification


Felix: Bloch wave method diffraction pattern simulation software


Allows safer access to model specific registers (MSRs)


Quantum Algorithms & Applications (**DEPRECATED** since April 2021 - see readme for more info)


MMGCN: Multi-modal Graph Convolution Network forPersonalized Recommendation of Micro-video


Face recognition system for ID photos


Pytorch implementation of GRU-ODE-Bayes


STEAL - Learning Semantic Boundaries from Noisy Annotations (CVPR 2019)


Visual Similarity research at Fynd. Contains code to reproduce 2 of our research papers.


Assembly statistic visualisation


Learning Deep CNN Denoiser Prior for Image Restoration (CVPR, 2017) (Matlab)


Allegro is an open-source code for building highly scalable and accurate equivariant deep learning interatomic potentials


A MATLAB toolbox to detect and analyze marine heatwaves (MHWs).


Library of bpipe implemented commands commonly applied to minc datafiles, suitable for importing into other pipelines


Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).


DaPars(Dynamic analysis of Alternative PolyAdenylation from RNA-seq)


StyleGAN - Official TensorFlow Implementation


perl cworld module and collection of utility/analysis scripts for C data (3C, 4C, 5C, Hi-C)


This repository holds the code framework used in the paper Reg R-CNN: Lesion Detection and Grading under Noisy Labels. It is a fork of MIC-DKFZ/medicaldetectiontoolkit with regression capabilites.


Official repo for "Solving Inverse Problems in Medical Imaging with Score-Based Generative Models"


Bayesian Deep Learning Benchmarks


Python3 bindings for the Compact Language Detector v3 (CLD3)


Semi-supervised adversarial neural networks for classification of single cell transcriptomics data


Implementation of TRPO and related algorithms


Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.


Implementation of Hang et al. 2020 "Hyperspectral Image Classification with Attention Aided CNNs" for tree species prediction


An implementation of Concrete Autoencoders


Learning Named Entity Tagger from Domain-Specific Dictionary


A python toolkit for analysing membrane protein-lipid interactions.


Attentive Group Recommendation


a collection of remote climate data accessed via intake cached to disk


Evaluating Weakly Supervised Object Localization Methods Right (CVPR 2020)


tf-trusted allows you to run TensorFlow models in secure enclaves


All image quality metrics you need in one package.


API Client for CHIRPS


Efficient and precise single-cell reference atlas mapping with Symphony


Given a global mean temperature pathway, generate random global climate fields consistent with it and with spatial and temporal correlation derived from an ESM


Guess gender from first name in Python 2 and 3


Protoplanetary Disk Modeling for Dynamical Mass Derivation


Column scatter / beeswarm-style plots in ggplot2


R package for deriving social mixing matrices from survey data.


A Nextflow pipeline for NGS variant calling on SARS-CoV-2. From FASTQ files to normalized and annotated VCF files from GATK, BCFtools, LoFreq and iVar.


An application to remove PCR duplicates from high throughput sequencing runs.


RH 1.5D


Provide Semantic Parsing solutions and Natural Language Inferences for multiple languages following the idea of the syntax-semantics interface.


Whole Program LLVM: wllvm ported to go


A structured list of resources about Sum-Product Networks (SPNs)


EGG: Emergence of lanGuage in Games


Benchmarking synthetic data generation methods.


Google's differential privacy libraries.


molSimplify code


The official implementation of HierSpeech++


Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)


An integrated cache and memory access time, cycle time, area, leakage, and dynamic power model


A research-oriented elastic body simulator


code for our NAACL 2019 paper: "BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis"


a sklearn wrapper for Google's BERT model


Re-implementation the code used in Voice Conversion from Non-parallel Corpora Using Variational Auto-encoder


Generalized Optimal Sparse Decision Trees


Neural architecture search(NAS)


Open-source, integrated optical modelling of complex stacks


Mapping and monitoring deep subglacial water activity in Antarctica using remote sensing and machine learning, with ICESat-2!


Easily identify and label sentence intervals using various taggers.


D3 based visualisation for comparative genomics


synthesiseable ieee 754 floating point library in verilog


A platform that lets you build agents to learn to play StarCraft: Brood War.


Simple FASTQ quality assessment using Python


Python port of B. Kelly's LINMIX_ERR IDL package


Sound event localization, detection, and tracking of multiple overlapping and moving sources in 2D spherical space using convolutional recurrent neural network


TISIGNER: Unleash the power of synthetic biology


The implementation of text classification using character level convoultion neural networks using Keras


Official Pytorch Implementation of 'Background Suppression Network for Weakly-supervised Temporal Action Localization' (AAAI-20 Spotlight)


Matlab and Python toolbox for fast Total Variation proximity operators


Connectome Workbench


The PheWAS R package


Python client utilties for interacting with the neuPrint connectome analysis service


Effsize - a package for efficient effect size computation


Metagenomics-focused BAM file manipulation


Rapid & standardized annotation of bacterial genomes, MAGs & plasmids


Energy Rating Index (ERI) calculation via OpenStudio/EnergyPlus.


macromolecular crystallography library and utilities


Deep learning library for digital pathology, with both Tensorflow and PyTorch support.


Estimating potential environmental impacts of goods and services in the US economy


Python Geometrical Morphing


Domain name permutation engine for detecting homograph phishing attacks, typo squatting, and brand impersonation


Apache Parquet


Creative Commons Attribution 4.0 International

COVID19 case numbers of Cantons of Switzerland and Principality of Liechtenstein (FL). The data is updated at best once a day (times of collection and update may vary). Start with the README.


Pilot program for CVE submission through GitHub. CVE Record Submission via Pilot PRs ending 6/30/2023


FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age


Insightface Keras implementation


A simplified PyTorch implementation of Siamese networks for tracking: SiamFC, SiamRPN, SiamRPN++, SiamVGG, SiamDW, SiamRPN-VGG.


Multi Task RL Baselines


Attentive Generative Adversarial Network for Raindrop Removal from A Single Image (CVPR 2018)


mixture classification, constraint optimization, outlier detection, population structure, admixture history, and selection detection.


EANN: event-adversarial neural networks for multi-modal fake news detection


An implementation of our CVPR 2018 work 'Domain Adaptive Faster R-CNN for Object Detection in the Wild'


A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.


Official code Cross-Covariance Image Transformer (XCiT)


Official Jax Implementation of MaskGIT


NiftyMIC is a research-focused toolkit for motion correction and volumetric image reconstruction of 2D ultra-fast MRI.


DeepStack: Ensembling Keras Deep Learning Models into the next Performance Level


Machine-readable Wiktionary


Reduction and analysis code for the VLT/SPHERE instrument


Sandbox for training deep learning networks


Security Analysis tool for WebAssembly module (wasm) and Blockchain Smart Contracts (BTC/ETH/NEO/EOS)


This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow


A tool written in go to help you factor carbon intensity into decisions about where and when to run computing jobs.


Conformer-based Metric GAN for speech enhancement


An OpenAI Gym interface to Super Mario Bros. & Super Mario Bros. 2 (Lost Levels) on The NES


Feature selection in neural networks


Create future EnergyPlus Weather files using CMIP6 data


Oxford Nanopore Technologies fast5 API software


A novel embedding training algorithm leveraging ANN search and achieved SOTA retrieval on Trec DL 2019 and OpenQA benchmarks


Create BIOM-format tables (http://biom-format.org) from Kraken output (http://ccb.jhu.edu/software/kraken/, https://github.com/DerrickWood/kraken).


Parallel tempering MCMC sampler package written in Python


add statistical annotations (pvalue significance) on an existing boxplot generated by seaborn boxplot


BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)


cortex lab code for electrophysiology


Neurosynth core tools


NaturalCC: An Open-Source Toolkit for Code Intelligence


Annotates variants in MAF with OncoKB annotation.


Acceptance rates for the major AI conferences


Snorkel MeTaL: A framework for training models with multi-task weak supervision


EUTelescope -- A Generic Pixel Telescope Data Analysis Framework


Plugins for the Ensembl Variant Effect Predictor (VEP)


Pytorch Implementation of Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning


Grouping of Lymphocyte Interactions by Paratope Hotspots


Weakly Supervised Learning for Findings Detection in Medical Images


Python library for converting Scikit-Learn pipelines to PMML


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


How good is BERT ? Comparing BERT to other state-of-the-art approaches on a French sentiment analysis dataset


❄ Visual Prompt Tuning [ECCV 2022] https://arxiv.org/abs/2203.12119


QIR specification defining how to represent quantum programs within the LLVM IR


Clustering routines for the unit sphere


Checker for "morally correct" induction proofs about haskell programs


Tools for improving the sensitivity and specificity of genome alignments


An updated version of the Parser-v1 repo, used for Stanford's submission in the CoNLL17 shared task.


A large-scale multilingual speech corpus for representation learning, semi-supervised learning and interpretation


Combining climdex.pcic and climpact @ UNSW


Train a deeper LSTM and normalized CNN Visual Question Answering model. This current code can get 58.16 on OpenEnded and 63.09 on Multiple-Choice on test-standard.


DualGAN-tensorflow: tensorflow implementation of DualGAN


This repo is the codebase for our team to participate in DOTA related competitions, including rotation and horizontal detection.


A custom Monte Carlo sampler for the (gravitational) two-body problem


A basic 2D maze environment where an agent start from the top left corner and try to find its way to the bottom left corner.


Chainer implementation of recent GAN variants


A simple and light-weight camera image processing pipeline


Memory Networks implementations


[CVPR2022] DanceTrack: Multiple Object Tracking in Uniform Appearance and Diverse Motion


An R package to hold and facilitate interaction with natural earth map data :earth_africa:


The Senses Toolkit offers a range of modules to learn about and explore climate change scenarios.


A Library for Advanced Deep Time Series Models.


Python interfaces for observational data surrounding named storm events, born from @jreniel's ADCIRCpy


TensorFI is a fault injection framework for injecting both hardware and software faults into applications written using the TensorFlow framework. You can find more information about TensorFI in the paper below.


A complete environment for Bayesian inference within R


AgroMo is an Integrated Assessment and Modelling software that integrates 4M a CERES based crop model, the Biome-BGCMuSo biogeochemical and a simple agro-economical model in order to support decision makers at multiple scales.


Support code for NGS copy number algorithms. Takes a file of locations and a [cr|b]am file and generates a count of coverage of each allele [ACGT] at that location (given any filter settings)


This repo contains the projects: 'Virtual Normal', 'DiverseDepth', and '3D Scene Shape'. They aim to solve the monocular depth estimation, 3D scene reconstruction from single image problems.


feature extraction from speech signals


MGARD: MultiGrid Adaptive Reduction of Data


Create emissions inputs for multiple air quality modeling systems with unmatched speed and flexibility


extract TEC, vTEC, Earthmagnetic field and Rotation Measures from GPS and WMM data for radio interferometry observations


Python package to retrieve data from Databank Ondergrond Vlaanderen (DOV)


MLPerf™  Tiny is an ML benchmark suite for extremely low-power systems such as microcontrollers


Sequence correction provided by ONT Research


Pysolar is a collection of Python libraries for simulating the irradiation of any point on earth by the sun. It includes code for extremely precise ephemeris calculations.


Data, Benchmarks, and methods submitted to the M4 forecasting competition


This repo is copied from https://github.com/leoxiaobin/deep-high-resolution-net.pytorch


This is a Pytorch implementation of the paper: Self-Supervised Graph Transformer on Large-Scale Molecular Data


Barcode demultiplex for Illumina I1, R1, R2 fastq.gz files


This repository contains a pytorch implementation of "HeadNeRF: A Real-time NeRF-based Parametric Head Model (CVPR 2022)".


Code and models for our ICCV 2021 paper "MINE: Towards Continuous Depth MPI with NeRF for Novel View Synthesis"


Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets


Depth and Flow for Visual Odometry


BioMedICUS: A biomedical and clinical NLP engine.


Python 3 Spelling Corrector


Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)


An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with Keras.


Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)


Automated Preprocessing Pipeline for Fetal Resting-State fMRI Data


Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization


Drosophila transposable element canonical sequences


PoSeiDon: positive selection detection and recombination analysis pipeline


Specification for the FAIR DataPoint


Coding Genome Reconstruction using Iso-Seq data


Cosmo is a fast, low-memory DNA assembler using a Succinct (variable order) de Bruijn Graph.


SV caller for nanopore data


Breakpoints via assembly - Identifies breaks and attempts to assemble rearrangements in whole genome sequencing data.


Sokoban environment for OpenAI Gym


Efficient Inference for Big Models


cgat-flow repository


EvoJAX: Hardware-accelerated Neuroevolution.


Directed Greybox Fuzzing with AFL


Repository for the development and release of ISRaD data and tools


Generic wrapper around the DART simulator


FlagAI (Fast LArge-scale General AI models) is a fast, easy-to-use and extensible toolkit for large-scale model.


Emulator for Software-Defined Wireless Networks


Main code for Parcels (Probably A Really Computationally Efficient Lagrangian Simulator)


Karrot is a free and open-source tool for grassroots initiatives and groups of people that want to coordinate face-to-face activities on a local, autonomous and voluntary basis.


ACL 2022, SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Models


Autoencoder for Point Clouds


See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks (CVPR19)


Merge transcriptome assemblies


Learning Type-Aware Embeddings for Fashion Compatibility


Code for the paper "Exploration by Random Network Distillation"


Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation


Monocular Depth Estimation Toolbox based on MMSegmentation.


Convolutional neural network analysis for predicting DNA sequence activity.


Fast and easy exoplanet transit light curve modelling.


Praat in Python, the Pythonic way


This is the repo for our Detection of Traffic Anomaly (DoTA) dataset.


The official implementation of G-TAD: Sub-Graph Localization for Temporal Action Detection


A novel application of the RAMP main engine for generating bottom-up stochastic electric vehicles load profiles.


Genome Association Predict Integrate Tools


Attributing predictions made by the Inception network using the Integrated Gradients method


MUSE Python Data Analysis Framework


The MaNGA Data Analysis Pipeline


Normalizing Hi-C contact counts efficiently


Numerical Manufacturing And Design Tool (NuMAD) -- A design tool for wind and water turbine composite blades


A Python library for common tasks on 3D point clouds


A python package for accessing various properties of elements, ions and isotopes in the periodic table of elements.


bradner lab computation pipeline scripts


Reformer, the efficient Transformer, in Pytorch


Awesome Domain Adaptation Python Toolbox


The Global Virome in One Network


Python interface to Metview meteorological workstation and batch system


Analyse Nucleic Acids Structure and Simulations with baRNAba


Crawler for linguistic corpora


Evolutionary Hyperband for Scalable, Robust and Efficient Hyperparameter Optimization


A pretty sweet RML engine, for RDF.


Python package for the evaluation of odometry and SLAM


A system for scientific simulation-based inference at scale.


Website for Principles of Sustainable Software Engineering


Quetzal is a modeling library designed for transport planning and traffic forecasts


Projections of COVID-19, in standardized format


Dictionary of attack patterns and primitives for black-box application fault injection and resource discovery.


Amplicon sequencing analysis workflow using DADA2 and QIIME2


Tools for mapping a sentence with arbitrary length to vector space


PyTorch implementation of a collections of scalable Video Transformer Benchmarks.


Denoising Diffusion Probabilistic Models


Tools for manipulating sequence graphs in the GFA and rGFA formats


Lightweight Image Super-Resolution with Information Multi-distillation Network (ACM MM 2019, Winner Award of ICCVW AIM 2019 Constrained SR Track1&Track2)


[ECCV 2020] Learning Enriched Features for Real Image Restoration and Enhancement. SOTA results for image denoising, super-resolution, and image enhancement.


AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation


Voice Conversion by CycleGAN (语音克隆/语音转换): CycleGAN-VC2


Pairwise SNP distance matrix from a FASTA sequence alignment


Fast, efficient RNA-Seq metrics for quality control and process optimization


paprica - PAthway PRediction by phylogenetIC plAcement


CSKG: The CommonSense Knowledge Graph


Python package and CLI for whole-genome duplication related analyses


Efficient program for calculating Extended Haplotype Homozygosity (EHH) and Integrated Haplotype Score (iHS)


Document ranking via sentence modeling using BERT


Reference setup for iC880a gateways running The Things Network


WGBS/NOMe-seq Data Processing & Differential Methylation Analysis


Large-scale, multi-GPU capable, kernel solver


Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs


pyWATTS: Python Workflow Automation Tool for Time-Series


Tooling for GANs in TensorFlow


Hierarchical, iterative clustering for analysis of transcriptomics data in R


A deep neural net toolkit for emotion analysis via Facial Expression Recognition (FER)


A library of power system component models written in the Modelica language that can be used for power system dynamic analysis, such as phasor time-domain simulations.


About moja global and How We Work


Crocoddyl is an optimal control library for robot control under contact sequence. Its solver is based on various efficient Differential Dynamic Programming (DDP)-like algorithms


Browser fingerprinting library. Accuracy of this version is 40-60%, accuracy of the commercial Fingerprint Identification is 99.5%. V4 of this library is BSL licensed.


DBMDZ BERT, DistilBERT, ELECTRA, GPT-2 and ConvBERT models


Code release for SLIP Self-supervision meets Language-Image Pre-training


Reimplemented code for "Toward Characteristic-Preserving Image-based Virtual Try-On Network"


T2F: text to face generation using Deep Learning


Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners


Code for the paper "Deep Entity Matching with Pre-trained Language Models"


R Package for Single-Cell Dataset Processing and Visualization


Code for the paper "Planning with Diffusion for Flexible Behavior Synthesis"


Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(ICCV, 2021) paper


:basketball::robot::basketball: AI web app and API to analyze basketball shots and shooting pose.


A Collection of BM25 Algorithms in Python


Wrapper for RDKit's RunReactants to improve stereochemistry handling


Validation of Exoplanet Signals using a Probabilistic Algorithm--- calculating false positive probabilities for transit signals


Text-to-Image generation. The repo for NeurIPS 2021 paper "CogView: Mastering Text-to-Image Generation via Transformers".


Targeted Learning for Survival Analysis


A modular PyTorch library for optical flow estimation using neural networks


Modelling and optimal control of single- and multiple-kite systems for airborne wind energy


Code for GaiaUnlimited Gaia selection function tools


circular RNA analysis toolset


A integration approach of the LabStreamingLayer Framework for Unity3D


Stand alone fMRI software suite for layer-fMRI analyses.


Python software used in the International Land Model Benchmarking (ILAMB) project


A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation


Transcription Factor Enrichment Analysis


ROR API


Web scraper for Atlantic and east Pacific hurricanes and tropical storms


PopPUNK  (POPulation Partitioning Using Nucleotide Kmers)


Intel® Software Guard Extensions SSL


Boavizta.org Data repository


Learning in infinite dimension with neural operators.


Graphics Processing Units Molecular Dynamics


Versatile framework for multi-party computation


Deepfakes Software For All


This repository carries out some paper recurring work


Official pytorch implementation of StyleMapGAN (CVPR 2021)


Deep Contextual Video Compression


An optimizer that trains as fast as Adam and as good as SGD.


[ICCV 2021] MultiSports: A Multi-Person Video Dataset of Spatio-Temporally Localized Sports Actions


Interactive, web tool for exploring pan-genome of bacterial strains


scLVM is a modelling framework for single-cell RNA-seq data that can be used to dissect the observed heterogeneity into different sources, thereby allowing for the correction of confounding sources of variation.


Food and Agriculture Biomass Input-Output Tables


This repository is a version of VINS-Fusion with gpu acceleration. It can run on the Nvidia TX2 in realtime


Prune a model while finetuning or training.


A learning rate range test implementation in PyTorch


openMINDS comprises a set of metadata models for research products in the field of neuroscience.


Python client for iNaturalist


A modern Python utility library for climate data collection and management


Generally Applicable Atomic-Charge Dependent London Dispersion Correction


IPFS Papers (not specs)


The Atmospheric Radiative Transfer Simulator


Your climate action is here  Our API is a source for learning how climate change personally affects you and the things you care about most. Additionally, it will teach a scientifically proven method for communicating to others that climate change is a personally relevant issue to inspire action.


Video/Image Labeling and Annotation Tool


Fourier Domain Adaptation for Semantic Segmentation


Sharing Updatable Models (SUM) on Blockchain


A knowledge graph and a set of tools for drug repurposing


Collection of commonly used RDP Tools for easy building


A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.


A high-throughput ontology-based pipeline for data integration


Integrating the TensorFlow 1.15 C-API into OpenFOAM 5.0 for data-driven CFD algorithm development


Fast and differentiable MS-SSIM and SSIM for pytorch.


EnergyPATHWAYS model is a professional, open-source energy and carbon planning tool for use in evaluating long-term, economy-wide greenhouse gas mitigation scenarios.


Automated Fiber Quantification


Tools for analyzing changes in diversity across scales


An xposed module that disables SSL certificate checking for the purposes of auditing an app with cert pinning


Pipeline for reducing JWST high-contrast imaging data. Published in Kammerer et al. 2022 and Carter et al. 2022.


Fast Fourier Transform-accelerated Interpolation-based  t-SNE (FIt-SNE)


A plug-and-play library for parameter-efficient-tuning (Delta Tuning)


TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs.


moDel Agnostic Language for Exploration and eXplanation


Gibbs sampler for the Hierarchical Latent Dirichlet Allocation topic model


MOODS: Motif Occurrence Detection Suite


DGN Code


Codes for a series of work in LiDAR perception, including SST (CVPR 22), FSD (NeurIPS 22), FSD++ (TPAMI 23), FSDv2, and  CTRL (ICCV 23, oral).


Efficient Training of Audio Transformers with Patchout


This is a tensorflow-based rotation detection benchmark, also called AlphaRotate.


Neural relational inference for interacting systems - pytorch


Word Mover's Distance from Matthew J Kusner's paper "From Word Embeddings to Document Distances"


GNU Radio OOT module for demodulating and decoding ADS-B packets


Implementation of protocols in Falcon


CloudDrift accelerates the use of Lagrangian data for atmospheric, oceanic, and climate sciences.


To make it easy to benchmark AI accelerators


Bagpipes is a state of the art code for generating realistic model galaxy spectra and fitting these to spectroscopic and photometric observations. Users should install with pip, not by cloning the repository.


TransDecoder source


An Open-Source Package for Information Retrieval.


:city_sunrise: The Urban Weather Generator (uwg) is a Python application for modeling the urban heat island effect.


RM-synthesis, RM-clean and QU-fitting on polarised radio spectra


C++17 Library for analysis, compilation/synthesis, and optimization of quantum circuits


Generalized Targeted Learning Framework


Fast and flexible nonadiabatic molecular dynamics in Julia!


Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals


World's first general purpose 3D object detection codebse.


The Egison Programming Language


Modular Ocean Model


20x Real-time superpixel SLIC Implementation with CPU


My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection


Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1


An ultrafast tool for genome-wide survey of microsatellites and primer design


FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising (TIP, 2018)


Molecule Validation and Standardization


R functions for processing individual tree TLS point clouds


Exoplanet detection in RVs with DNest4 and GPs


Access data and resources hosted by the Atlas of Living Australia (ALA)


Repository of the open-source RAMP model for generating multi-energy loads profiles


Beautiful visualizations of how language differs among document types.


Parameterizing neural power spectra into periodic & aperiodic components.


Easy whole-brain modeling for computational neuroscientists


Coupled snowpack and ice surface energy and mass balance model in Python


Ethereum Token Contracts


Hybrid Systems Optimization and Performance Platform.


[CVPR '21] Official repository for Few-shot Image Generation via Cross-domain Correspondence


Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting


Official Implementation of SynthTIGER (Synthetic Text Image Generator), ICDAR 2021


The original code from the DeepMind article + my tweaks


Medical Q&A with Deep Language Models


Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)


Package for writing high-level code for parallel high-performance stencil computations that can be deployed on both GPUs and CPUs


Machine learning for transportation data imputation and prediction.


Ethereum contract for Bitcoin SPV: Live on https://etherscan.io/address/0x41f274c0023f83391de4e0733c609df5a124c3d4


Annotate quickly images.


Battenberg algorithm and associated implementation script


Geometric operations on polytopes of any dimension


Application Layer DoS attack simulator


Generating Oceananigans large eddy simulation (LES) data for calibrating parameterizations


Open weather data for humans.


A flexible free and unlimited python tool to translate between different languages in a simple way using multiple translators.


Extremely Fast Compression algorithm


Pytorch implementation for "Decoupled attention network for text recognition".


The project is an official implement of our CVPR2018 paper "Deep Back-Projection Networks for Super-Resolution" (Winner of NTIRE2018 and PIRM2018)


Code for Dynamic Feature Fusion for Semantic Edge Detection   https://arxiv.org/abs/1902.09104


Pytorch implementation of DiffusionNet for fast and robust learning on 3D surfaces like meshes or point clouds.


Deep Learning with Tensor Flow for EEG MNE Epoch Objects


Layer over brightway2 for algebraic definition of parametric models and super fast computation of LCA


BRIE: Bayesian Regression for Isoform Estimate in Single Cells


Reinforcement Learning Agents in Javascript (Dynamic Programming, Temporal Difference, Deep Q-Learning, Stochastic/Deterministic Policy Gradients)


An extension of the PyMARL codebase that includes additional algorithms and environment support


An R package for accessing elevation data


RISC-V Formal Verification Framework


Parsnp was designed to align the core genome of hundreds to thousands of bacterial genomes within a few minutes to few hours. Input can be both draft assemblies and finished genomes, and output includes variant (SNP) calls, core genome phylogeny and multi-alignments. Parsnp leverages contextual information provided by multi-alignments surrounding SNP sites for filtration/cleaning, in addition to existing tools for recombination detection/filtration and phylogenetic reconstruction.


An Exchange Format for Verification Witnesses (MOVED, please follow the link)


Library to enable Bayesian active learning in your research or labeling work.


Benchmarking Deep Learning operations on different hardware


General Toolkit for Modeling Radial Velocity Data


Processing pipelines for the HCP


Tensorflow's Fairness Evaluation and Visualization Toolkit


pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"


nucleosome calling using ATAC-seq


R package for detecting Twitter bots via machine learning


A Keras port of Single Shot MultiBox Detector


PyTorch(1.6+) implementation of https://github.com/kang205/SASRec


Stochastic Adversarial Video Prediction


Lung medical image analysis and visualisation software for Matlab.


R package for Empirical Bayes Factor Analysis.


Python implementation of the Rapid Automatic Keyword Extraction algorithm using NLTK.


CIDO: Coronavirus Infectious Disease Ontology


OpenL3: Open-source deep audio and image embeddings


HiGHmed Data Sharing Framework funded by the German Federal Ministry of Education and Research (BMBF, grant ids: 01ZZ1802E and 01ZZ1802A)


An interactional aerodynamics and acoustics solver for multirotor aircraft and wind energy


Benchmarking large language models' complex reasoning ability with chain-of-thought prompting


Set of tools to combine multiple power plant databases


Bayesian learning and inference for state space models


This is the main source repo for the Gkeyll 2.0 code. Please see gkeyll.rtfd.io for details.


multi-purpose lens modeling software package


Windowed Adaptive Trimming for fastq files using quality


Pipeline for scaffolding and breaking a genome assembly using 10x genomics linked-reads


[ICCV 2021 Oral] NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo


Multivariate Time Series Transformer, public version


Spectroscopy Made Hard(er)


A general-purpose neural semantic parser for mapping natural language queries into machine executable code


A Large-scale Chinese Short-Text Conversation Dataset and Chinese pre-training dialog models


Long read based human genomic structural variation detection with cuteSV


A repository in development for a solar powered network of servers that host a distributed web platform. Project by Tega Brain, Alex Nathanson and Benedetta Piantella. Supported by Eyebeam, Mozilla, and CS&S


Force-directed graph layout using velocity Verlet integration.


The open-source tool for creating 3D models


PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)


A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX


Implementation of CoAP Server & Client in Go


Java binary serialization and cloning: fast, efficient, automatic


Representation Learning of Knowledge Graphs with Entity Descriptions (AAAI'16)


Label Rotated Rect On Images for training


Pytorch implementation of BRECQ, ICLR 2021


Tools for early stage alignment file processing


Quantification of transposable element expression using RNA-seq


Universal Transcript Archive: comprehensive genome-transcript alignments; multiple transcript sources, versions, and alignment methods; available as a docker image


Analysis of subclonal copy number alterations (CNA) and loss of heterozygosity (LOH) in cancer


The CBE Clima Tool is a web-based application built to support the need of architects and engineers interested in climate-adapted design.  It allows users to analyze the climate data of more than 27,500 locations worldwide using the data contained in EPW files.


Mirror of Apache PDFBox


DARPA Challenges Sets for Linux, Windows, and macOS


R interface to many NOAA data APIs


CRPropa is a public astrophysical simulation framework for propagating extraterrestrial ultra-high energy particles.   https://crpropa.github.io/CRPropa3/


Feature Decay Algorithms


Keeping track of what is going on with the latest DiD innovations.


A CSV formatted file using data from the Yelp Academic Dataset.


A mini library for Policy Gradients with Parameter-based Exploration, with reference implementation of the ClipUp optimizer (https://arxiv.org/abs/2008.02387) from NNAISENSE.


Persian Bert For Long-Range Sequences


Open-Source Toolkit for End-to-End Speech Recognition leveraging PyTorch-Lightning and Hydra.


Revisiting Peng's Q(lambda) for Modern Reinforcement Learning


Unofficial implementation of ResGrad: Residual Denoising Diffusion Probabilistic Models for Text to Speech


PDF Structure and Syntactic Analysis for Metadata Extraction and Tagging - https://code.google.com/p/pdfssa4met/


Learning Adversarially Fair and Transferable Representations


Machine learning for transportation data imputation and prediction.


Training and Evaluation Code for Neural Volumes


profile the repeat landscape in a genome


Graph Convolutional Neural Networks with Complex Rational Spectral Filters


Official PyTorch implementation of "Learning with Memory-based Virtual Classes for Deep Metric Learning" (ICCV 2021)


List of (automatic) protocol reverse engineering tools for network protocols


The DevNet project on github stores the PacBio DevNet website.


Uncertainty Guided Progressive GANs for Medical Image Translation


Collaborative genetic studies of idiopathic pulmonary fibrosis


An initial conditions generator for Gadget, modified from N-GenIC


Riemannian stochastic optimization algorithms: Version 1.0.3


Some toy examples of score matching algorithms written in PyTorch


Notes on SNP-related tools and genome variation analysis


A succinct toolset for analyzing climate data. This project is a work-in-progress.


phenoscanner allows users to query the PhenoScanner database of genotype-phenotype associations from inside R


The Turing Change Point Dataset - A collection of time series for the evaluation and development of change point detection algorithms


MinimalGPT is a concise, adaptable, and streamlined code framework that encompasses the essential components necessary for the construction, training, inference, and fine-tuning of the GPT model. This framework is implemented exclusively using Keras and TensorFlow, ensuring compatibility and coherence within the broader deep learning ecosystem.


My modified version of YoloV5 training, cross-validation and inference with Pseudo Labelling pytorch pipelines used in GWD Kaggle Competition


Compute N50/NG50 and auN/auNG


Source code and study data for the TOG 2021 paper: Mid-Air Drawing of Curves on 3D Surfaces in Virtual Reality.


MISTTBORN exoplanet fitting code, and various associated codes


Study NeuralUCB and regret analysis for contextual bandit with neural decision


This repository contains the codes for first large-scale investigation of Differentially Private Convex Optimization algorithms.


Source code for the ICCV-2019 paper "Co-segmentation Inspired Attention Networks for Video-based Person Re-identification"


A data web service, lightning talk.


[IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and [ACM MobiCom HotEdgeVideo 2019] "Distilled Split Deep Neural Networks for Edge-assisted Real-time Systems"


Joint text classification on multiple levels with multiple labels, using a multi-head attention mechanism to wire two prediction tasks together.


Segment cuboid-shaped objects (e.g. parcels) without any task specific training data. Code from ICMLA 2020 paper "Refined Plane Segmentation for Cuboid-Shaped Objects by Leveraging Edge Detection".


Early access articles, Journals, and Conferences


Fast Axiomatic Attribution for Neural Networks (NeurIPS*2021)


Large Eddy Simulator for Study of Urban Boundary-Layer Flows


My Java codes for the MOA framework. It includes the implementations of FHDDM, FHDDMS, and MDDMs.


Code Repository for the IndicXNLI paper.


implicit or explicit water model based docking with Autodock vina engine. supporting pharmacophore /position constrained docking


Euclidean Wasserstein-2 optimal transportation


Collection of papers on text mining for materials science


PyTorch Implementation for Neural Graph Collaborative Filtering


ICLR 2021: Noise against noise: stochastic label noise helps combat inherent label noise


Hindsight policy gradients


This is a platform containing the datasets and federated learning algorithms in IoT environments.


Datasets: road-scene-infrared-visible-images, for feature matching, image registration, and image fusion


轻量化的实例分割模型


Running the code you want to write as fast as the code you have to write


:microscope: A multi-method comparative bioinformatics pipeline to detect and study circRNAs from RNA-seq data


Awesome Explainable AI (XAI) and Interpretable ML Papers and Resources


Matlab scripts that extract single subject grey matter networks from grey matter segmented T1 weighted images


Python packages for post-processing Einstein Toolkit simulation data


Repository to reproduce SketchBoost paper experiments


The official implementation of NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation [ICLR-2021].  https://arxiv.org/pdf/2101.12378.pdf


[AAAI2022] Code Release of Attacking Video Recognition Models with Bullet-Screen Comments


Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics"


Datasets from CHES papers on random delays


A wheel-mounted MEMS IMU-based dead reckoning system.


A repo for knowledge tracing implementation by PyTorch


Dataset generation scripts for “Path Planning using Neural A* Search” presented in ICML-21


Research code for "Training Vision-Language Transformers from Captions Alone"


Official repository for the paper "Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules" (NeurIPS 2022)


Data and code used in our NAACL'19 paper "Selective Attention for Context-aware Neural Machine Translation"


Packet simulator for data center network topologies, routing, and congestion control


Polish BERT


Emotion detection on multiparty dialogue.


DALL-E for Detection: Language-driven Compositional Image Synthesis for Object Detection


Multi-threaded implementation of the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features and multigranularity.


Multi-Hop Logical Reasoning in Knowledge Graphs


Comparing attention-based convolutional and recurrent neural networks under adversarial attacks to investigate their success and limitations in machine reading comprehension


Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".


Implementation of the multiple sequential markovian coalescent


Official PyTorch implementation of MIRO (ECCV 2022)


Universal Representations: A Unified Look at Multiple Task and Domain Learning


One implementation of the paper "DMRST: A Joint Framework for Document-Level Multilingual RST Discourse Segmentation and Parsing".


Strongest attack against Feature Scatter and Adversarial Interpolation


Label-Imbalanced and Group-Sensitive Classification under Overparameterization


A tool for removing redundant genomes from a set of assemblies


Open source code for ACL 2020 Paper "Dynamic Fusion Network for Multi-Domain End-to-end Task-Oriented Dialog"


PyTorch reimplementation of the DiracGAN proposed in the paper "Which Training Methods for GANs do actually Converge?" [ICML 2018].


A simple MATLAB regression toolbox


MARNNs Can Learn Generalized Dyck Languages


PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation (CVPR 2021)


Source code and datasets of "RapidMatch: A Holistic Approach to Subgraph Query Processing", accepted by VLDB'21 - By Shixuan Sun, Xibo Sun, Yulin Che, Prof. Qiong Luo, and Prof. Bingsheng He


[ICASSP-2021] Official implementations of Multi-View Contrastive Learning for Online Knowledge Distillation (MCL-OKD)


Code for Global Convergence of Block Coordinate Descent in Deep Learning (ICML 2019)


Hindi stopwords collection


A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartPole, LunarLander, and MountainCar.


An official implementation of CVPR 2022 paper "Label Matching Semi-Supervised Object Detection".


StyleGAN2 - Official TensorFlow Implementation


A library for static attributed graph outlier detection. 静态属性图节点的异常检测模型集。


Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series


Difference-of-Entropies (DoE) Estimator


Linear kinetic theory propagator for initial conditions of heavy ion collisions


Sequence Modeling with Structured State Spaces


This repository contains the code for Instance Credibility Inference (ICI).


[ICCV'19] Improving Adversarial Robustness via Guided Complement Entropy


Tensorflow 1.14 for Bert, Bert UniLM, ALBert


Promting Whisper for Audio-Visual Speech Recognition, Code-Switched Speech Recognition, and Zero-Shot Speech Translation


NASAaccess is R package that can generate gridded ascii tables of climate (CIMP5) and weather data (GPM, TRMM, GLDAS) needed to drive various hydrological models (e.g., SWAT, VIC, RHESSys, ..etc)


Green Finance and Environmental Risk


Pytorch implementation of the Power Spherical distribution


Efficient Exploration via State Marginal Matching (2019)


The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].


[CVPR 2023 Highlight] Video-Text as Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning


Sentires: A Toolkit for Phrase-level Sentiment Analysis


Code release for "Supported Policy Optimization for Offline Reinforcement Learning" (NeurIPS 2022), https://arxiv.org/abs/2202.06239


Code for Diagnosing Bottlenecks in Deep Q-learning. Contains implementations of tabular environments plus solvers.


Code for the paper "MMA Training: Direct Input Space Margin Maximization through Adversarial Training"


Fitting SEDs of binary stars.


BMXNet: An Open-Source Binary Neural Network Implementation Based on MXNet


MDToolbox: A MATLAB/Octave toolbox for statistical analysis of molecular dynamics trajectories


A Rust Bitcoin blockchain parser with clustering capabilities, allowing to group together addresses in ownership clusters. Please contact @mikispag if interested in using BitIodine for any real-world use case.


The Dataset for Multi Label Hate Speech and Abusive Language Detection in Indonesian Twitter


Papers of ComputerVision x Surgery


This repo contains a list of papers for sleep stage classification using deep learning based techniques starting from 2017-afterwards. I classified them generally according to the proposed technique.


Microscopic diffusion anisotropy imaging made easy!


Pytorch implementation of "Joint Acne Image Grading and Counting via Label Distribution Learning"


PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet


Efficient MATLAB routines for quantum tomography


Code release to accompany paper "Geometry-Aware Gradient Algorithms for Neural Architecture Search."


EMNLP 2022 long paper "Fine-grained Category Discovery under Coarse-grained supervision with Hierarchical Weighted Self-contrastive Learning"


Clustering-based methods for overlapping diarization


Code for the CoNLL 2019 paper "Compositional Generalization in Image Captioning" by Mitja Nikolaus, Mostafa Abdou, Matthew Lamm, Rahul Aralikatte and Desmond Elliott


A Tidy Framework to Hack Gene Expression Signatures


Download and manipulate some publicly available solar datasets


Notebooks to calculate tree diversity indices (Shannon and Simpson) for planners, foresters, and ecologists!


Code for training binary and WTA SNNs


Dataset, code and model for the CVPR'20 paper "The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction". And for the ECCV'20 SimAug paper.


Code to model the secular evolution of a hierarchical multiple system


Code and Data for the paper: Molecular Contrastive Learning with Chemical Element Knowledge Graph [AAAI 2022]


Rank Minimization for Snapshot Compressive Imaging (TPAMI'19)


MobileNetV2-based baseline system for DCASE2021 Challenge Task 2.


Multi-label Image Recognition with Partial Labels (AAAI 2022)


Code for our WWW'2020 paper "Efficient Neural Interaction Function Search for Collaborative Filtering"


[SIGGRAPH 2023] Composite Motion Learning with Task Control


Use efficientdet - Python version to realize intelligent retail model training, provide data sets and trained model files ~ welcome star使用Efficientdet -pytorch版实现智能零售模型训练，提供数据集与训练好的模型文件~欢迎star


#66DaysOfData challenge in Financial Machine Learning and NLP


[AAAI 2022 Oral] This is a Pytorch implementation of the AAAI 2022 paper "Cross-Domain Empirical Risk Minimization for Unbiased Long-tailed Classification"


[PR2022] The Code of “EANet:  Iterative Edge Attention Network for Medical Image Segmentation”


Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)


Supervised Local Modeling for Interpretability


Code for reproducing "AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks" (NeurIPS 2021)


[ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen


Codes for 'From Canonical Correlation Analysis to Self-supervised Graph Neural Networks'. https://arxiv.org/abs/2106.12484


A (continuously updated) collection of references to Hi-C data. Predominantly human/mouse Hi-C data, with replicates.


Non-linear Mendelian randomization


Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.


Pytorch code for Towards Backward-Compatible Representation Learning [CVPR 2020 Oral]


MEDFAIR: Benchmarking Fairness for Medical Imaging


Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)


Differentially Private Federated Learning on Heterogeneous Data


Diagnosis of corona virus using Chest X-ray and CT-scan through deep learning


Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task. Monitoring with TensorBoard. Other visualizations available.


Python library to compute different properties of quantum tight binding models in a lattice


My collection of light bioinformatics analysis pipelines for specific tasks


A formalized proof of a version of the initiality conjecture


This repository contains code used for the fly brain activity experiments


Hybrid Machine Learning Model for Malware Detection based on Windows Kernel Emulation


Fast underwater image enhancement for Improved Visual Perception. #TensorFlow #PyTorch #RAL2020


A benchmark for Salient Object Detection (SOD).


[Neurips 2021] Sparse Training via Boosting Pruning Plasticity with Neuroregeneration


A Matlab implementation of Convolutional Sequence Embedding Recommendation Model (Caser)


Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch


The Combined Anomalous Object Segmentation (CAOS) Benchmark


Data and analysis scripts for our Embryo Timecourse paper.


Repository for the project "DeepShadows: Separating LSBGs from artifacts using Deep Learning"


Mathematical notes and papers


stream processing reading list


Author Disambiguation using Knowledge Graph Embeddings with Literals


GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data


Logically-Constrained Reinforcement Learning


collection of bioinformatic scripts


Blockchain Activities of Amrita TIFAC Cyber


This project is special for SemEval2020 task4 Commonsense Validation and Explanantion


Code for Towards Streaming Perception (ECCV 2020) :car:


[EMNLP 2021] Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training


Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fine-tuned for every task, that doesn't require an increase in the number of trainable weights and is robust against catastrophic forgetting.


This is the Github repository for SemEval-2018 Task 3


An implementation of paper: Dynamic Network Embedding: An Extended Approach for Skip-gram based Network Embedding


A suite of routines for constructing and fitting linear transit timing variation models.


standalone pedsim library (pedestrian simulator using social force model)


Matlab code for all variants of robust PCA and SPCP


Deep Hashing expermiments


2D path-planning algorithm which uses a receding horizon approach and quadratic Bezier curves.


PyTorch reimplementation for "PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors" https://arxiv.org/abs/1808.10322


Python Package for Empirical Statistical Downscaling. pyESD is under active development and all colaborators are welcomed. The purpose of the package is to downscale any climate variables e.g. precipitation and temperature using predictors from  reanalysis datasets (eg. ERA5) to point scale. pyESD adopts many ML and AL as the transfer function.


PyKNOSSOS is a software tool for the visualization and annotation of 3D image data and was developed for high-throughput image annotation of 3D electron microscopy stacks of brain tissue. https://www.ariadne.ai


Multi-view Graph Contrastive Representation Learning for Drug-drug Interaction Prediction


This framework provides out-of-the-box implementations of Referential Games variants in order to study the emergence of artificial languages using deep learning, relying on PyTorch (https://www.pytorch.org).


Timeline summarization and evaluation.


Benchmark apps for static analyzing inter-component data leakage problem of Android apps.


SeqGAN but with more bells and whistles


Benchmark for LP-relaxed robustness verification of ReLU-networks


Unofficial Pytorch implementation of Style GAN paper


Analysis tools for PhIP-seq experiments


A curated list of awesome serverless research works, including papers and open-sourced projects.


Public code developed during my MSc study at University of Bologna


The repo lists papers of various areas, including Graph Analytics, Graph Acceleration, Subgraph Matching, Streaming Graph Management, Worst-case Optimal Join Algorithms, Join Plan Optimization, and so on.


Various estimators of the infinite dimensional exponential family model


Train a StyleGAN2 model on Colaboratory to generate Steam banners.


Code for ResDMD: data-driven spectral properties of Koopman Operators


[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning


PROUD is an open-source high-throughput distributed outlier detection engine for intense data streams that is implemented in Scala on top of the Apache Flink framework.


Collection of links and information about COVID-19


The code base for the article "Neural Structural Correspondence Learning for Domain Adaptation", CoNLL 2017


A Mathematica package for the numerical computation of quasinormal modes


Source code and datasets of "CANE: Context-Aware Network  Embedding for Relation Modeling"


The Turing Change Point Detection Benchmark: An Extensive Benchmark Evaluation of Change Point Detection Algorithms on real-world data


Efficient Markov Chain word alignment


Utilities to calculate kinematic distances


This computational method has been published in BMC genomics as: "Identifying branch-specific positive selection throughout the regulatory genome using an appropriate proxy neutral"


EBIC - AI-based parallel biclustering algorithm


Unofficial JAX implementations of deep learning research papers


Module for modeling gravitational lensing systems in which the data are not images but interferometric visibilities.


Towards developing a Robust Translation Model for African languages: Pilot Project FFR v1.0.


Datasets: road-scene-infrared-visible-images, for feature matching, image registration, and image fusion


Code to prepare and use common datasets for scene analysis tasks


MASS: Multi-Attentional Semantic Segmentation ofLiDAR Data for Dense Top-View Understanding


Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (Neural Networks 2022 - in submission)


Mutual nearest neighbor graphs and data visualization for genomic population networks :octopus:


Official PyTorch repository for Hypercomplex Image-to-Image Transaltion


[ICLR 2022] The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training by Shiwei Liu, Tianlong Chen, Xiaohan Chen, Li Shen, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy


Pytorch implementation of Hebbian learning algorithms to train deep convolutional neural networks.


Multivariate LSTM Fully Convolutional Networks for Time Series Classification


MEDIQA-Chat Shared Tasks @ ACL-ClinicalNLP 2023


Code and Swedish pre-trained models for BERT


Fisher forecasting code for Large Scale Structure surveys using Lagrangian Perturbation Theory.


This is Pytorch Implementation of Google's Non-attentive Tacotron.


Code and models for the WACV 2021 paper "Benchmark for evaluating pedestrian action prediction"


WHAT-IF (Water, Hydropower, Agriculture Tool for Investment and Financing) decision support tool


Dataset of 11,072 radiocarbon dates from the Near East from the Late Pleistocene until the Late Holocene (15 - 1.5 cal. kyr BP).


Official implementation of Temporal-Guided Networks


Fast and flexible code for solving the inverse Ising/Potts inference problem


[MedIA2022]WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image


[EACL'23] MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages


Code Accompany NeurIPS 2022 Dataset Paper: Breaking Bad. A Shape Assembly Benchmark Implemented in PyTorch


PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)


Collection of layers that can perform arithmetic operations


ICLR 2022 Paper, SOTA Table Pre-training Model, TAPEX: Table Pre-training via Learning a Neural SQL Executor