Pytorch implementation of  Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention Networks


Fully Convlutional Neural Networks for state-of-the-art time series classification


GPU Accelerated t-SNE for CUDA with Python bindings


Twitter NLP Tools


A python implementation of the Rapid Automatic Keyword Extraction


Collection of public available person re-identification datasets


Graph-based Attention Model


Peak calling tool for CLIP-seq data


Grayscale Image Colorization with Generative Adversarial Networks. https://arxiv.org/abs/1803.05400


Standard database for the TBProfiler tool


Detecting methylation using signal-level features from Nanopore sequencing reads


An information security preparedness tool to do adversarial simulation.


An SDR LoRa implementation for R&D


A Simple and Effective Baseline for Text-to-Image Synthesis (CVPR2022 oral)


Repository for the R-package lmerTest


This package implements both the discrete and continuous maximum likelihood estimators for fitting the power-law distribution to data. Additionally, a goodness-of-fit based approach is used to estimate the lower cutoff for the scaling region.


A neural word aligner based on multilingual BERT


A Pretrained BERT Model for Financial Communications. https://arxiv.org/abs/2006.08097


Automated statistical and functional fine-mapping pipeline with extensive API access to datasets.


:deciduous_tree: Create a tree using Mash distances


Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems


Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch


A Multipurpose Library for Synthetic Time Series Generation in Python


Policy learning via doubly robust empirical welfare maximization over trees


Tools for conformal inference in regression


Providing reproducibility in deep learning frameworks


OmniXAI: A Library for eXplainable AI


Fluid-Structure-Interaction / MHD Research Code. Relies on Fourier transforms for derivatives and the volume penalization method to include obstacles.


Matlab code to generate distributed power flow problems.


A feature engineering automation tool for learning data representations


Probabilistically assign gender and race proportions of first/last authors pairs in bibliography entries


solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning


REL: Radboud Entity Linker


educational microarchitectures for risc-v isa


Large, modern dataset for speech recognition


Self-describing content-addressed identifiers for distributed systems


Finite Element Analysis Library in Python


emoji terminal output for Python


A flexible framework of neural networks for deep learning


PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566


Heterogeneous Information Network Datasets for Recommendation and Network Embedding


HOPS - A user-friendly software for single-object photometry and exoplanet light-curve modelling


Building a Bayesian deep learning classifier


use long sequenced reads to close gaps in assemblies


Multiple implementations for abstractive text summurization , using google colab


Quantization of Convolutional Neural networks.


Code for http://saliency.mit.edu/


Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression (AAAI 2020)


Numerical integration of Ito or Stratonovich SDEs


Bridging Vision and Language Model


Code associated with the Don't Stop Pretraining ACL 2020 paper


Computational pipeline for calling consensi on R2C2 nanopore data


An implement R package to visualize GSEA results


BARTScore: Evaluating Generated Text as Text Generation


Code for our ICCV 2019 paper PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment


Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch


Urban Multi-scale Environmental Predictor


IRGAN SIGIR paper experimental code


Mapping Alternative Splicing Events to pRoteins


Shell scripts for spectral-timing analysis of X-ray astronomical data.


Library for length agnostic SIMD intrinsic support and the corresponding math operations


The Aegean source finding program and associated tools


Generic framework for historical document processing


Library for Knowledge Intensive Language Tasks


RL Environments in JAX


BESST - scaffolder for genomic assemblies


PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io


The git repository for the TT-Toolbox


A Reference Open Source Controller for Wind Turbines


A library of mechanised undecidability proofs in the Coq proof assistant.


WFA-lib: Wavefront alignment algorithm library v2


Merlin is a cross-platform post-exploitation HTTP/2 Command & Control  server and agent written in golang.


Louvain Community Detection


A grounder and solver for logic programs.


Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning


Schemata and libraries for neuroscientific data


An enterprise-grade Java-based, Apache 2.0 licensed Ethereum client


Challenge by ENECHANGE Ltd.


SMETANA: a tool to analyse interactions in microbial communities


Unsupervised Pre-training for Person Re-identification (LUPerson)


A PyTorch implementation of the paper "All are Worth Words: A ViT Backbone for Diffusion Models".


Code release for "HashNet: Deep Learning to Hash by Continuation" (ICCV 2017)


PC-DARTS:Partial Channel Connections for Memory-Efficient Differentiable Architecture Search


Standalone C library for assembling Illumina short reads in small regions


The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training


Unofficial PyTorch Implementation for HifiFace (https://arxiv.org/abs/2106.09965)


Code for T-Few from "Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning"


Sparse learning library and sparse momentum resources.


A generalised, dynamic DNA reference library for metabarcoding of fishes


Quantify the difference between two arbitrary curves in space


Subgraph Neural Networks (NeurIPS 2020)


Test genes for Spatial Variation


Data for the 2014 ebola outbeak in West Africa


Smart EVSE Electric Vehicle Charging Station


Open Source Carpooling Platform


A PyTorch Implementation of Federated Learning http://doi.org/10.5281/zenodo.4321561


MagFace: A Universal Representation for Face Recognition and Quality Assessment, CVPR2021, Oral


Windfarm Operations & Maintenance cost-Benefit Analysis Tool


Pleiotropy-informed conditional and conjunctional false discovery rate


Flexible audio loudness meter in Python with implementation of ITU-R BS.1770-4 loudness algorithm


PyTorch implementation of Contrastive Learning methods


Python wrapper for OpenJTalk


Easier Automatic Sentence Simplification Evaluation


FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability


A great intro dataset for data exploration & visualization (alternative to iris).


SIDH Library is a fast and portable software library that implements state-of-the-art supersingular isogeny cryptographic schemes. The chosen parameters aim to provide security against attackers running a large-scale quantum computer, and security against classical algorithms.


NCBI Prokaryotic Genome Annotation Pipeline


A reference system that simulates real-world systems in order to more fairly compare various configurations of executors and other settings


Fast Gene Set Enrichment Analysis


Utility functions for working with DICOM and BIDS neuroimaging data


A visual exploratory tool on correlation matrix


Leverage your IoT enabled Solar PV Inverter to stream your solar energy usage data to a real time dashboard.


Search client for the ESGF Search API


:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps


An Industrial Graph Neural Network Framework


Neuronal Morphology Analysis Tool


Repository for the Tetrad Project, www.phil.cmu.edu/tetrad.


A collection of Google research projects related to Federated Learning and Federated Analytics.


Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:


Learn fast, scalable, and calibrated measures of uncertainty using neural networks!


the code for WaveCNet


A 3'-end adapter contaminant trimmer


predicting expression effects of human genome variants ab initio from sequence


Code for Federated Learning with Matched Averaging, ICLR 2020.


Official implementation in PyTorch of SASNet as described in "To Choose or to Fuse? Scale Selection for Crowd Counting"


GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models


Matlab implementation of the ECO tracker.


Neural network toolkit for sentence pair modeling.


Few-shot Natural Language Generation for Task-Oriented Dialog


Source code for the EMNLP'17 paper "Deep Joint Entity Disambiguation with Local Neural Attention", https://arxiv.org/abs/1704.04920


Gene regulatory network reconstruction from pseudotemporal single-cell gene expression data


A collection of pre-trained StyleGAN 2 models to download


Transition-based tree-to-graph AMR Parser


Developing brain Region Annotation With Expectation-Maximization


Apply Mapping Functions in Parallel using Futures


A modular PyTorch library for vision transformer models


Estimates physical and economic damages and impacts from climate change and sea level rise to the U.S. through the 21st century


A google's congestion Control Algorithm


Java tools for analyzing Drop-seq data


Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data


CityGML Energy ADE


General technology for enabling AI capabilities w/ LLMs and MLLMs


PSFs In the Full FOV.  A software package for modeling the point-spread function (PSF) across the full field of view (FOV).  Documentation:


Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models.  Advbox give a command line tool to generate adversarial examples with Zero-Coding.


NOAA-GFDL's Sea Ice Simulator version 2


DomainBed is a suite to test domain generalization algorithms


:sparkles: new shiny website built with svelte :heart: for dust and noise measuring project :point_right:  https://sensor.community


Benchmark datasets, data loaders, and evaluators for graph machine learning


UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.


DSMR-telegram reader & data visualizer for hobbyists. Free for non-commercial use.


CAPI SNAP Framework Hardware and Software


Commander is an Optimal Monte-carlo Markov chAiN Driven EstimatoR which implements fast and efficient end-to-end CMB posterior exploration through Gibbs sampling.


ROCm Communication Collectives Library (RCCL)


Tools for accelerating safe exploration research.


(ICCV 2019) Uncertainty-aware Face Representation and Recognition


Source codes of our paper in CVPR 2019:  Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection


R package for transfer learning of single-cell RNA-seq denoising


BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer


An MDN Layer for Keras using TensorFlow's distributions module


Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"


Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning


Hierarchically-Refined Label Attention Network for Sequence Labeling


A real-time capable exploration and inspection path planner (next best view planning)


MitoZ: A toolkit for assembly, annotation, and visualization of animal mitochondrial genomes


Molecular structure optimizer


pip install antialiased-cnns to improve stability and accuracy


DroneDeploy Machine Learning Segmentation Benchmark


Google Earth Engine implementation of the LandTrendr spectral-temporal segmentation algorithm. For documentation see:


Implementation of Convolutional LSTM in PyTorch.


A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.


Estimate metagenomic coverage and sequence diversity


A single model that parses Universal Dependencies across 75 languages. Given a sentence, jointly predicts part-of-speech tags, morphology tags, lemmas, and dependency trees.


Forest fire history analysis in R.


Official implementation of the paper "Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis" in ICLR 2021


A library for k-nearest neighbor search


Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.


A Wes Anderson color palette for R


Full-Stack OpenFlow Framework in Ruby


FedNLP: An Industry and Research Integrated Platform for Federated Learning in Natural Language Processing, Backed by FedML, Inc. The Previous Research Version is Accepted to NAACL 2022


SolarPILOT power tower layout and optimization tool


bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent


Renewable Energy Integration Simulation Engine


Data Analysis with Bootstrapped ESTimation


A code to generate atomic structure with symmetry


Colorblind-Friendly Color Maps for R


A General-Purpose Tool for Formal Concept Analysis


Data set of top third party web domains with rich metadata about them


Spatio Temporal Affinity Fields (CVPR 2019)


Reduce the environmental footprint of your software applications with this cutting-edge sonarQube plugin


Lead-DBS is a MATLAB toolbox facilitating deep brain stimulation electrode localization and connectomic neuroimaging.


Regularized Losses (rloss) for Weakly-supervised CNN Segmentation


Porting caffe to android platform


Plug-and-Play Image Restoration with Deep Denoiser Prior (IEEE TPAMI 2021) (PyTorch)


StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation


Particle swarm optimization (PSO) that supports constraints


Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)


An efficient and consistent bundle adjustment for lidar mapping


Code for conservative Q-learning


پیکره بزرگ شناسایی موجودیت‌های نامدار فارسی برچسب خورده


Heterogeneous information network representation learning


PyTorch implementation for SDEdit: Image Synthesis and Editing with Stochastic Differential Equations


A network intrusion detection system based on incremental statistics (AfterImage) and an ensemble of autoencoders (KitNET)


Probabilistically split concatenated words using NLP based on English Wikipedia unigram frequencies.


Hierarchical Encoder Decoder RNN (HRED) with Truncated Backpropagation Through Time (Truncated BPTT)


A benchmark dataset for data-driven weather forecasting


Implements the Tsetlin Machine, Coalesced Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features, drop clause, Type III Feedback, focused negative sampling, multi-task classifier, autoencoder, literal budget, and one-vs-one multi-class classifier. TMU is written in Python with wrappers for C and CUDA-based clause evaluation and updating.


Open MatSci ML Toolkit is a framework for prototyping and scaling out deep learning models for materials discovery supporting widely used materials science datasets, and built on top of PyTorch Lightning, the Deep Graph Library, and PyTorch Geometric.


The UppASD package is a simulation tool for atomistic spin dynamics and Monte Carlo simulations of Heisenberg spin systems.


A micro-benchmark suite to assess the stability of taint-analysis tools for Android


The project aims on adding a state-of-the-art transliteration module for cross transliterations among all Indian languages including English.


Temporal Network Tools


Line-By-Line Radiative Transfer Model by Atmospheric and Environmental Research


SNIRF Format Specification


Cyber Threat Intelligence Repository expressed in STIX 2.0


eXtended Keccak Code Package


Repulsion Loss: Detecting Pedestrians in a Crowd. https://arxiv.org/abs/1711.07752


Neural Attention Model for Abstractive Summarization


[TPAMI 2022] Learning Enriched Features for Fast Image Restoration and Enhancement. Results on Defocus Deblurring, Denoising, Super-resolution, and image enhancement


Differentiable computations of the signature and logsignature transforms, on both CPU and GPU. (ICLR 2021)


LEAF is a learnable alternative to audio features such as mel-filterbanks, that can be initialized as an approximation of mel-filterbanks, and then be trained for the task at hand, while using a very small number of parameters.


(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"


A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility


Monkeypox 2022 repository


A Visual Analysis Tool to Explore Learned Representations in Transformers Models


Prevent oil and gas companies from co-opting your work and extracting more fossil fuels with this software license.


Appraise code used as part of WMT21 human evaluation campaign


Dynamic hydrology-hydraulic water quality simulation model


Adaptive Skip-gram implementation in Julia


A simple method to perform semi-supervised learning with limited data.


A standardized Python API with necessary preprocessing, machine learning and explainability tools to facilitate graph-analytics in computational pathology.


Data science for wildfire risk forecasting and monitoring


Single-level and multi-level mediation analyses for any kind of data, with bootstrap-based significance testing. Neuroimaging-oriented functions allow for mediation effect parametric mapping (mapping of mediation effects across the brain) and multivariate mediation.


This is the implementation of Noise2Void training.


Linear Collider I/O


MITIE: library and tools for information extraction


Official DeiT repository


Satellite image time series in R


Module for automatic summarization of text documents and HTML pages.


Weakly Supervised Learning On Images


The repository for our open online course "Research on Corporate Transparency"


Simple reference implementation of GraphSAGE.


Pre-trained word vectors of 30+ languages


PointTrack (ECCV2020 ORAL): Segment as Points for Efficient Online Multi-Object Tracking and Segmentation


Library for implementing RNNs with Theano


Directory of Fortran codes on GitHub, arranged by topic


Hanzi Converter for Traditional and Simplified Chinese


A system to flag anomalous source code expressions by learning typical expressions from training data


maximal update parametrization (µP)


Extract video features from raw videos using multiple GPUs. We support RAFT and PWC flow frames as well as S3D, I3D, R(2+1)D, VGGish, CLIP, ResNet features.


Scripts and reference libraries at Kostas lab.


This is the repository containing codes for our CVPR, 2020 paper titled "Learning Individual Speaking Styles for Accurate Lip to Speech Synthesis"


Python wrapper around the Concorde TSP solver


Alex Dialogue Systems Framework


Two time-scale update rule for training GANs


Boltzmann Generators and Normalizing Flows in PyTorch


:bike: Extract data from public hire bicycle systems


Gauge-including magnetically induced currents.


See your city's air pollution measured in daily cigarettes. iOS/Android.


An open and flexible framework for developing enclave applications


A chess library for Python, with move generation and validation, PGN parsing and writing, Polyglot opening book reading, Gaviota tablebase probing, Syzygy tablebase probing, and UCI/XBoard engine communication


A library for running membership inference attacks against ML models


disentanglement_lib is an open-source library for research on learning disentangled representations.


The next generation of the PRIMAP climate policy analysis suite


Class Activation Mapping


Train embodied agents that can answer questions in environments


Unofficial implementation of "Prompt-to-Prompt Image Editing with Cross Attention Control" with Stable Diffusion


Python implementation of the conformal prediction framework.


An implementation of Conditional Random Fields (CRFs) with Deep Learning Method


Global shoreline mapping tool from satellite imagery


Python bindings to Charlie Conroy's Flexible Stellar Population Synthesis (FSPS) Fortran code


Vector Particle-In-Cell (VPIC) Project


Toolbox for normative modelling and spatial inference of neuroimaging data. https://pcntoolkit.readthedocs.io/en/latest/


PyTorch implementation of adversarial attacks.


Source code for end-to-end dialogue model from the MultiWOZ paper (Budzianowski et al. 2018, EMNLP)


Keras library for building (Universal) Transformers, facilitating BERT and GPT models


Fast, accurate and easy to run dense optical flow with python wrapper


PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)


(CVPR 2021 Oral) LETR: Line Segment Detection Using Transformers without Edges


MAttNet: Modular Attention Network for Referring Expression Comprehension


Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)


TPMCalculator quantifies mRNA abundance directly from the alignments by parsing BAM files


Fast Principal Component Analysis of Large-Scale Genome-Wide Data


Hide your geographic location from websites.


Package for Heart Rate Variability analysis in Python


A knowledge-based method for determining small molecule binding "hotspots".


AFINN sentiment analysis in Python


The complete sequence of a human genome


Open-source implementation of Google Vizier for hyper parameters tuning


Audiobook alignment for Indigenous languages


A novel machine learning pipeline to analyse spatial transcriptomics data


Nishang - Offensive PowerShell for red team, penetration testing and offensive security.


Parse soil measurement data.


Data access library for the MeerKAT radio telescope


Library for metric learning pipelines and models.


PECOS - Prediction for Enormous and Correlated Spaces


A CNI meta-plugin for multi-homed pods in Kubernetes


Code and resources for "FC4 : Fully Convolutional Color Constancy with Confidence-weighted Pooling" (CVPR 2017)


A universal time series representation learning framework


Source code for KDD 2020 paper "Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation"


Swift Core ML 3 implementations of GPT-2, DistilGPT-2, BERT, and DistilBERT for Question answering. Other Transformers coming soon!


GraphMap - A highly sensitive and accurate mapper for long, error-prone reads http://www.nature.com/ncomms/2016/160415/ncomms11307/full/ncomms11307.html https://www.biorxiv.org/content/10.1101/720458v1


A scene text recognition toolbox based on PyTorch


PartitionFinder discovers optimal partitioning schemes for DNA sequences.


ValueNet: A Neural Text-to-SQL Architecture Incorporating Values


An open-source orbit-computation package for Solar System objects.


hanabi_learning_environment is a research platform for Hanabi experiments.


A unified pseudo-Cl framework


OMNeT++ V2X simulation framework for ETSI ITS-G5


Implementation of the FV3GFS / SHiELD atmospheric model in Python


OpenABM-Covid19: an agent-based model for modelling the spread of SARS-CoV-2 (coronavirus) and control interventions for the Covid-19 epidemic


Library for Semi-Automated Data Science


AirCasting API and web application


Mobility as a Service API - data model, tests, and validation


A user friendly tools using Monte Carlo simulations for estimation of Curie temperature


a bert for retrieval and generation


A comprehensive, global, open source database of power plants


Python version of the SED fitter from Robitaille et al., 2007, ApJS 169 328


Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.


g2p: English Grapheme To Phoneme Conversion


A New Padding Scheme: Partial Convolution based Padding


Conditional Transformer Language Model for Controllable Generation


SeqMonk NGS visualisation and analysis tool


[ICRA19] Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning


FIELDimageR: A R package to analyze orthomosaic images from agricultural field trials. This package is a compilation of functions to analyze pos-mosaicking images from research fields, and allows to: crop the image; remove soil effect; build vegetation indices; rotate the image; build the plot shapefile; extract information for each plot; and evaluate stand count, canopy percentage, and plant height.


Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models


The RMLStreamer executes RML rules to generate high quality Linked Data from multiple originally (semi-)structured data sources in a streaming way.


Parameterisation of Equivariant Properties of Particle Systems


United Perception


Using global reanalyses for permafrost simulation


MAGIC (Markov Affinity-based Graph Imputation of Cells), is a method for imputing missing values restoring structure of large biological datasets.


Reservoir computing utilities for scientific machine learning (SciML)


An Open-Source Package for Knowledge Embedding (KE)


Atlite: A Lightweight Python Package for Calculating Renewable Power Potentials and Time Series


Automated Machine Learning pipelines. Builds the Open Short Term Energy Forecasting package.


A Python toolkit for pathology image analysis algorithms.


Behavior Trees Library in C++. Batteries included.


Scalable toolkit for efficient model alignment


hping network tool


Latent Text-to-Image Diffusion


Compressed Video Action Recognition


A framework for training and evaluating AI models on a variety of openly available dialogue datasets.


A neural network model for Chinese named entity recognition


"Zero-Shot" Super-Resolution using Deep Internal Learning


[ICLR 2021, Spotlight] Large Scale Image Completion via Co-Modulated Generative Adversarial Networks


PyTorch package for the discrete VAE used for DALL·E.


Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch


Proof-of-concept seq-to-graph mapper and graph generator


GMAN: A Graph Multi-Attention Network for Traffic Prediction (GMAN, https://fanxlxmu.github.io/publication/aaai2020/) was accepted by AAAI-2020.


This is the open source implementation of the ICLR2022 paper "StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesis"


Square’s meticulous HTTP client for the JVM, Android, and GraalVM.


This is an official implementation for "Video Swin Transformers".


Learning Chinese Character style with conditional GAN


Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"


Code for reproducing experiments in "Improved Training of Wasserstein GANs"


Diffusion-LM


Dilated Residual Networks


Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)


log anomaly detection toolkit including DeepLog


SAM (Significance Analysis of Microarrays) shiny app


PyTorch code for ICLR 2021 paper Unbiased Teacher for Semi-Supervised Object Detection


PyTorch Re-Implementation of EAST: An Efficient and Accurate Scene Text Detector


Semantic Segmentation in Pytorch


NOVOPlasty - The organelle assembler and heteroplasmy caller


A workflow management system for researchers who heart Unix.


WWW 2018: Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications


A flexible, effective and fast cross-view gait recognition network


ICNet for Real-Time Semantic Segmentation on High-Resolution Images, ECCV2018


Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution


BiMPM: Bilateral Multi-Perspective Matching for Natural Language Sentences


Non-local Neural Networks for Video Classification


web documentation for Trinotate


Deformable DETR: Deformable Transformers for End-to-End Object Detection.


Code for Defending Against Neural Fake News, https://rowanzellers.com/grover/


Graph Attention Networks (https://arxiv.org/abs/1710.10903)


Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"


PyTorch implementation of MAE https//arxiv.org/abs/2111.06377


CLI tool to annotate genes with KOfam


PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)


Open Source Flight Controller Firmware


Meshed-Memory Transformer for Image Captioning. CVPR 2020


Code for paper Fine-tune BERT for Extractive Summarization


Re-implement Kaiming He's deep residual networks in tensorflow. Can be trained with cifar10.


Tensorflow implementation of the SRGAN algorithm for single image super-resolution


Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.


OpenLLaMA, a permissively licensed open source reproduction of Meta AI’s LLaMA 7B trained on the RedPajama dataset


DeMoN: Depth and Motion Network


Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome


This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"


Creative Commons Attribution 4.0 International

A first-of-its-kind acoustic simulation platform for audio-visual embodied AI research. It supports training and evaluating multiple tasks and applications.


Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.


Kippo - SSH Honeypot


Research code for ECCV 2020 paper "UNITER: UNiversal Image-TExt Representation Learning"


The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"


PyTorch code for EMNLP 2019 paper "LXMERT: Learning Cross-Modality Encoder Representations from Transformers".


Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/


:floppy_disk: :page_with_curl: "Reads to report" for public health and clinical microbiology


[python3.6] 运用tf实现自然场景文字检测,keras/pytorch实现ctpn+crnn+ctc实现不定长场景文字OCR识别


StyleGAN2-ADA - Official PyTorch implementation


Cascaded Pyramid Network for Multi-Person Pose Estimation (CVPR 2018)


Coherent Semantic Attention for image inpainting(ICCV 2019)


genetic variant expressions, annotation, and filtering for great good.


CICFlowmeter-V4.0 (formerly known as ISCXFlowMeter) is an Ethernet traffic Bi-flow generator and analyzer for anomaly detection that has been used in many Cybersecurity datsets such as Android Adware-General Malware dataset (CICAAGM2017), IPS/IDS dataset (CICIDS2017), Android Malware dataset (CICAndMal2017) and Distributed Denial of Service (CICDDoS2019).


Neural Collaborative Filtering


haplotypic duplication identification tool


DeepLab-ResNet rebuilt in TensorFlow


Repository for Scale-recurrent Network for Deep Image Deblurring


开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.


A car detection model implemented in Tensorflow.


R toolkit for inference, visualization and analysis of cell-cell communication from single-cell data


A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also includes support for Shapley Values sampling. (ICLR 2018)


PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882


A Pythonic wrapper for the Wikipedia API


Sentence paraphrase generation at the sentence level


NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning


An R package for microbial community analysis in an environmental context


The source code for paper "Deep Image Spatial Transformation for Person Image Generation"


Implementation of "Tracking without bells and whistles” and the multi-object tracking "Tracktor"


Table structure recognition dataset of the paper: Complicated Table Structure Recognition


Dataset of GPT-2 outputs for research in detection, biases, and more


Automatically exported from code.google.com/p/ea-utils


Simple image captioning model


An open source lane detection toolbox based on PyTorch, including SCNN, RESA, UFLD, LaneATT, CondLane, etc.


Read Like Humans: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Recognition


Text classifier for Hierarchical Attention Networks for Document Classification


CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch


An application for parameterization of biological models available in SBML and BNGL formats. Features include parallelization, metaheuristic optimization algorithms, and an adaptive Markov chain Monte Carlo (MCMC) sampling algorithm.


PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations


Kernel Point Convolution implemented in PyTorch


PEframe is a open source tool to perform static analysis on Portable Executable malware and malicious MS Office documents.


Age detection in Tensorflow


Pix2Seq codebase: multi-tasks with generative modeling (autoregressive and diffusion)


Analysis of ensembles of metabolic network reconstructions


Implementation A Style-Based Generator Architecture for Generative Adversarial Networks in PyTorch


A state-of-the-art semi-supervised method for image recognition


Code release for NeRF (Neural Radiance Fields)


RHadoop


The repo for "Balanced Multimodal Learning via On-the-fly Gradient Modulation", CVPR 2022 (ORAL)


Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)


Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"


A toolkit for tracking energy, carbon, and compute metrics for machine learning (or any other) experiments.


Behavioral segmentation of open field in DeepLabCut, or B-SOID ("B-side"), is a pipeline that pairs unsupervised pattern recognition with supervised classification to achieve fast predictions of behaviors that are not predefined by users.


The Munich Open-Source Large-Scale Multimedia Feature Extractor


A fast, efficient universal vector embedding utility package.


Cross-Linguistic Norms, Ratings, and Relations for Words and Concepts


NuCypher fully homomorphic encryption (NuFHE) library implemented in Python


The QUB Transient Classifier


Files for a tutorial to train SegNet for road scenes using the CamVid dataset


Semantic Image Synthesis with SPADE


The Places365-CNNs for Scene Classification


DeepCS: Deep Code Search


Fast R-CNN


Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)


A global, black box optimization engine for real world metric optimization.


Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.


High-Resolution Image Synthesis with Latent Diffusion Models


Repositório de dados sobre SARS-COV-2 em municípios paulistas


A PyTorch implementation of "Real-time Scene Text Detection with Differentiable Binarization".


A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.


FreeVC: Towards High-Quality Text-Free One-Shot Voice Conversion


Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.


DexiNed: Dense EXtreme Inception Network for Edge Detection


The library for web and native user interfaces.


Diff Match Patch is a high-performance library in multiple languages that manipulates plain text.


Racmacs R package for performing antigenic cartography https://acorg.github.io/Racmacs


Haplotype based scans for selection


Read coverage calculator for metagenomics


You Only Look Once for Panopitic Driving Perception.（MIR2022）


Let us control diffusion models!


Alto, the Algebraic Language Toolkit


Nonlinear optical pulse propagator


VGGFace implementation with Keras Framework


The third major version of the MUltiScale Coupling Library and Environment


This is the source code for multisamples ARGs profiling using SARG2.0 database


Control-FREEC: Copy number and genotype annotation in whole genome and whole exome sequencing data


This repo contains source code and materials for the TEmporally COherent GAN SIGGRAPH project.


Improved version of DBow2


Ultrafast consensus module for raw de novo genome assembly of long uncorrected reads


Actuator line modeling extension library for OpenFOAM.


MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversation


SUPPA: Fast quantification of splicing and differential splicing


A comprehensive and full-featured computational physics suite for boundary-element analysis of electromagnetic scattering, fluctuation-induced phenomena (Casimir forces and radiative heat transfer), nanophotonics, RF device engineering, electrostatics, and more. Includes a core library with C++ and python APIs as well as many command-line applications.


Code of the Unsupervised Traffic Accident Detection paper in Pytorch.


Extract catalogs of sources from astronomical images


This is the community-maintained issue tracker for uBlock Origin


Easy to use extractive text summarization with BERT


Software Development Kit for the Oxford Robotcar Dataset


Mastering Diverse Domains through World Models


Python implementation of the METRIC model


Surface Urban Energy and Water Balance Scheme


The LACHESIS software, as described in Nature Biotechnology (http://dx.doi.org/10.1038/nbt.2727)


Mummer alignment tool


Tools for using fonts in R graphics


Anti-Adblock Killer helps you keep your Ad-Blocker active, when you visit a website and it asks you to disable.


A library for Multilingual Unsupervised or Supervised word Embeddings


Systematic dataset of Covid-19 policy, from Oxford University


Python command line tool for Multi-Trait Analysis of GWAS (MTAG)


Finder of Somatic Fusion Genes in RNA-seq data


The Open Images dataset


Retina blood vessel segmentation with a convolutional neural network


GPU-accelerated RIME implementations. An offshoot of the BIRO projects, and one of the foothills of Mt Exaflop.


MetaWRAP - a flexible pipeline for genome-resolved metagenomic data analysis


RocketQA, dense retrieval for information retrieval and question answering, including both Chinese and English state-of-the-art models.


*UNMAINTAINED* Decompiler and Security Analysis tool for Blockchain-based Ethereum Smart-Contracts


R package for modeling single cell UMI expression data using regularized negative binomial regression


The Tractor: measuring astronomical sources via probabilistic inference


A simple, open database of local government climate action plan documents and emissions data.


Circular visualization in R


This repository contains the code and implementation details of the CascadeTabNet paper "CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents"


Android Package Inspector - dynamic analysis with api hooks, start unexported activities and more. (Xposed Module)


Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)


Generate a dendrogram from a dataset


Phylogenetic orthology inference for comparative genomics


Implementation of Analyzing and Improving the Image Quality of StyleGAN (StyleGAN 2) in PyTorch


SCENIC is an R package to infer Gene Regulatory Networks and cell types from single-cell RNA-seq data.


The Replica Dataset v1 as published in https://arxiv.org/abs/1906.05797 .


Simple statistical identification and removal of contaminants in marker-gene and metagenomics sequencing data


GraphMap - A highly sensitive and accurate mapper for long, error-prone reads http://www.nature.com/ncomms/2016/160415/ncomms11307/full/ncomms11307.html Note: This was the original repository which will no longer be officially maintained. Please use the new official repository here:


Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.


The Open Source Project for the Internet of Things


Evaluation kit for the HEAR Benchmark


Patent analysis using the Google Patents Public Datasets on BigQuery


Public repository for the Monte Python Code


Prodigal Gene Prediction Software


SOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020.


Implementation of Graph Convolutional Networks in TensorFlow


A Very Low-Bitrate Codec for Speech Compression


Efficient Image Captioning code in Torch, runs on GPU


Spongy Castle - a repackage of Bouncy Castle for Android (which ships a crippled version of BC)


Representation learning on large graphs using stochastic graph convolutions.


Depth-Aware Video Frame Interpolation (CVPR 2019)


Survival analysis with PyTorch


Implementations of Reinforcement Learning and Planning algorithms


CAT/BAT: tool for taxonomic classification of contigs and metagenome-assembled genomes (MAGs)


Tacotron 2 - PyTorch implementation with faster-than-realtime inference


Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).


Copy number calling and variant classification using targeted short read sequencing


GROWTH Target of Opportunity Marshal


mean Average Precision - This code evaluates the performance of your neural net for object recognition.


A curated list of reproducible research case studies, projects, tutorials, and media


An API to retrieve and read NFL Game Center JSON data. It can work with real-time data, which can be used for fantasy football.


Basic minc-tools from former minc repository


Auton Survival -  an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events


We are building an open database of COVID-19 cases with chest X-ray or CT images.


Port of Google's language-detection library to Python.


BEELINE: evaluation of algorithms for gene regulatory network inference


A self-driving car simulator built with Unity


a python package for gravitational wave analysis with the F-statistic


STAR-Fusion codebase


Simple, effective, and modular package for parsing observables (indicators of compromise (IOCs), network data, and other, security related information) from text. It uses grammars rather than regexes which makes it more readable, maintainable, and hackable. Explore our interactive documentation here: https://hightower.space/ioc-finder/


A toolbox for working with Allen Human Brain Atlas microarray expression data


Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.


Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.


Program for the analysis and visualization of whole-slide images in digital pathology


[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box


SourceXtractor++, the next generation SExtractor


A research project for natural language generation, containing the official implementations by MSRA NLC team.


The K-mer Analysis Toolkit (KAT) contains a number of tools that analyse and compare K-mer spectra.


phyloFlash - A pipeline to rapidly reconstruct the SSU rRNAs and explore phylogenetic composition of an illumina (meta)genomic dataset.


Strelka2 germline and somatic small variant caller


Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).


Mobility, an open-source library for mobility modelisation


Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)


Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.


[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang


A garden for scikit-learn compatible trees


End-to-end neural table-text understanding models.


CodeGen is a family of open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.


EvoloPy toolbox provides classical and recent nature-inspired metaheuristic for the global optimization.


VideoCrafter1: Open Diffusion Models for High-Quality Video Generation


This proposal has been replaced by the Topics API.


An automatic engine for predicting materials properties.


ARTIC nanopore protocol for nCoV2019 novel coronavirus


Medical action ontology


Miscellaneous collection of Python and R scripts for processing Iso-Seq data


Privacy preserving voluntary Covid-19 self-reporting platform. Share your location history and status, get alerts you are in high risk areas and identify high risk regions


Render transformed image tiles


Extensible Combinatorial Optimization Learning Environments


The set of CPU/GPU optimised regularisation modules for iterative image reconstruction and other image processing tasks


A Django project that powers the backend of Terraso platform.


A climate4R package for data access


PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).


Text recognition (optical character recognition) with deep learning methods.


The official home of climt, a Python based climate modelling toolkit.


百度NLP：分词，词性标注，命名实体识别，词重要性


the pangenome graph builder


A trusty face analysis research platform developed by Tencent Youtu Lab


Example RISC-V Out-of-Order/Superscalar Processor Performance Core and MSS Model


Command-line utility for limiting an adapter's bandwidth


ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型


Metrics for verifying forecasts


CodeGeeX: An Open Multilingual Code Generation Model (KDD 2023)


The Medical Image Registration ToolKit (MIRTK), the successor of the IRTK, contains common CMake build configuration files, core libraries, and basic command-line tools. Extension packages are hosted by the MIRTK GitHub group at


QML: Quantum Machine Learning


Convolutional Neural Network for Text Classification in Tensorflow


MATPOWER – steady state power flow simulation and optimization for MATLAB and Octave


Trait-Driven Models of Ecology and Evolution :evergreen_tree:


Official public repository for the XCP Engine. This tool is deprecated in favor of XCP-D and ASLPrep.


A large-scale benchmark and learning environment.


Visualization of Functional Enrichment Result


A Modern Platform for Planning High-Renewable Power Systems


Web-interface to the Biofuel Ecophysiological Traits and Yields Database (used by PEcAn and TERRA REF)


de novo sequence assembler using string graphs


A distributed graph deep learning framework.


SymSpell: 1 million times faster spelling correction & fuzzy search through Symmetric Delete spelling correction algorithm


Repository for the Framework for Accessing Changes To Sea-level (FACTS)


Python parser for bash


Computer generated building footprints for the United States


Keras model of NSFW detector


The Research Tree - A playground for research at the intersection of Continual, Reinforcement, and Self-Supervised Learning.


A Python parser for MediaWiki wikicode


Home Performance XML


Optimal Retrieval of Aerosol and Cloud


Deblur is a greedy deconvolution algorithm based on known read error profiles.


Super-scale your images and run experiments with Residual Dense and Adversarial Networks.


Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).


Ontology for consent codes and data use requirements


Keras implementation of Deeplab v3+ with pretrained weights


A statistical-parametric model for assessing wind hazard from tropical cyclones


Python library containing wind analysis functions


Analysis kit for large-scale structure datasets, the massively parallel way


A simple but complete full-attention transformer with a set of promising experimental features from various papers


Grammar of Graph Graphics


Sequential regulatory activity predictions with deep convolutional neural networks.


White matter tractography clustering and more...


OWLTools


Single-document unsupervised keyword extraction


Probabilistic Modeling Toolkit for Matlab/Octave.


powderday dust radiative transfer


Next-generation radio interferometric imaging.


Entity Linker solution


JARVIS-Tools: an open-source software package for data-driven atomistic materials design. Publications: https://scholar.google.com/citations?user=3w6ej94AAAAJ


JDet is an object detection benchmark based on Jittor. Mainly focus on aerial image object detection (oriented object detection).


DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia


Compute reachable states of dynamical systems


Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes


Repository for the GA4GH phenopacket schema


Hydrological modeling


fastdup is a powerful free tool designed to rapidly extract valuable insights from your image & video datasets. Assisting you to increase your dataset images & labels quality and reduce your data operations costs at an unparalleled scale.


Differential privacy validator and runtime


Workflow Description Language developer tools & local runner


Codebase for Image Classification Research, written in PyTorch.


Unified Complex Network and Recurrence Analysis Toolbox


cowplot: Streamlined Plot Theme and Plot Annotations for ggplot2


A fast stabilizer circuit library.


Julia package to run Dynamic Power System simulations. Part of the Scalable Integrated Infrastructure Planning Initiative at the National Renewable Energy Lab.


MiXCR is an ultimate software platform for analysis of Next-Generation Sequencing (NGS) data for immune profiling.


Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch


Astronomical data platform for the Zwicky Transient Facility.


Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch


Python Package for the Analysis of Paleoclimate Data. Documentation at


Generate images from texts. In Russian


an imagenet example in torch.


Neural Adaptive Machine Translation that adapts to context and learns from corrections.


DeepFaceLab is the leading software for creating deepfakes.


ns-3 module for simulating mmWave-based cellular systems. See https://ieeexplore.ieee.org/document/8344116/ (open access) as a reference.


Repository for the Human Disease Ontology.


✨Fast Coreference Resolution in spaCy with Neural Networks


VarDict


Convert a VCF into a MAF, where each variant is annotated to only one of all possible gene isoforms


Geospatial processing toolbox for environmental and climate studies


Prediction of T-Cell Epitopes for Cancer Therapy


DCA++


A DHT Indexer node & Peer Router


Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization


LabStreamingLayer super repository comprising submodules for LSL and associated apps.


Transparent and robust SARS-CoV-2 variant calling and lineage assignment with comprehensive reporting.


Source code/webpage/demos for the What-If Tool


WebAssembly Virtual Machine


A ultra-high precision package for simulating radio interferometers in python on compute clusters.


An instance of KG Hub to produce a knowledge graph for COVID-19 response.


Time Ordered Astrophysics Scalable Tools


Open-source implementation of the ETSI C-ITS protocol stack


Deezer source separation library including pretrained models.


BRAKER is a pipeline for fully automated prediction of protein coding gene structures with GeneMark-ES/ET/EP/ETP and AUGUSTUS in novel eukaryotic genomes


Animal Part Tracker


displays multiple genomic sequences in the form of a tube map


Splitting Conic Solver


A toolbox to iNNvestigate neural networks' predictions!


Fast Elliptic Curve Cryptography in plain javascript


E3SM Diagnostics package


The ThingML modelling language


:spaghetti: Pastas is an open-source Python framework for the analysis of groundwater time series.


Collection of tools for analyzing open source packages.


A large annotated semantic parsing corpus for developing natural language interfaces.


Official repository for design of the quantum programming language Q# and its core libraries


Shifter - Linux Containers for HPC


Black-box optimization for Julia


A tool to circularize genome assemblies


NLP tools for Turkish.


RISC-V cryptography extensions standardisation work.


Haplotype VCF comparison tools


Muzic: Music Understanding and Generation with Artificial Intelligence


PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf


Interactive assembly and analysis of RAD-seq data sets


ZeroCostDL4Mic: A Google Colab based no-cost toolbox to explore Deep-Learning in Microscopy


Examples and scripts using Blocks


C++ library for Franka research robots


Viral genome alignment, mutation calling, clade assignment, quality checks and phylogenetic placement


A PyTorch Library for Accelerating 3D Deep Learning Research


An open-source toolbox for action understanding based on PyTorch


TensorFlow Neural Machine Translation Tutorial


Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.


A high-performance topological machine learning toolbox in Python


Paddle Multimodal Integration and eXploration, supporting mainstream multi-modal tasks, including end-to-end large-scale multi-modal pretrain models and diffusion model toolbox. Equipped with high performance and flexibility.


enviroCar Android Application


Graph Signal Processing in Python


Python library to handle Gene Ontology (GO) terms


Specification documents for the P4Runtime control-plane API


MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV.


Machine learning, statistics, and data mining for astronomy and astrophysics


Battery evaluation and early prediction


Image reduction pipeline for the DESI Legacy Imaging Surveys, using the Tractor framework


AutoML tools chain


detrex is a research platform for DETR-based object detection, segmentation, pose estimation and other visual recognition tasks.


Fermi-LAT Python Analysis Framework


Ensemble of HMM methods (SEPP, TIPP, UPP)


Modern Super Learning with Machine Learning Pipelines


XACC - eXtreme-scale Accelerator programming framework


Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications


Python-based Astronomical image reprojection :milky_way: - maintainer @astrofrog


An R package for stock-assessment simulation with Stock Synthesis


Gin provides a lightweight configuration framework for Python


Agent Learning Framework https://alf.readthedocs.io


Dutch Atmospheric Large-Eddy Simulation model


A small speech recognizer


A package to support RL research


Rule-based modeling framework


Python package for processing image-based profiling data


StarCraft II Client - protocol definitions used to communicate with StarCraft II.


Code and annotations for the Tabula Muris single-cell transcriptomic dataset.


The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.


H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://h2oai.github.io/h2o-llmstudio/


Mathematical Components compliant Analysis Library


Evolutionary Scale Modeling (esm): Pretrained language models for proteins


:small_red_triangle: Ternary plotting library for python with matplotlib


PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).


The xAPI Specification describes communication about learner activity and experiences between technologies.


Quantum Gate Language (QGL) is a domain specific language embedded in python for specifying quantum gate sequences.


Keras documentation, hosted live at keras.io


cuDF - GPU DataFrame Library


Siphon - A collection of Python utilities for retrieving atmospheric and oceanic data from remote sources, focusing on being able to retrieve data from Unidata data technologies, such as the THREDDS data server.


A tool for transcribing orthographic text as IPA (International Phonetic Alphabet)


Toolbox for Bayesian Optimization and Model-Based Optimization in R


A new data structure for accurate on-line accumulation of rank-based statistics such as quantiles and trimmed means


Documentation for Crossref's REST API. For questions or suggestions, see https://community.crossref.org/


中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard


Context Broker and CEF building block for context data management which supports both the NGSI-LD and the NGSI-v2 APIs


4 bits quantization of LLaMA using GPTQ


Official Kaggle API


WhiteRabbit is a small application that can be used to analyse the structure and contents of a database as preparation for designing an ETL. It comes with RabbitInAHat, an application for interactive design of an ETL to the OMOP Common Data Model with the help of the the scan report generated by White Rabbit.


a Medical Genetics Sequence Analysis Pipeline


OpenFOAM-preCICE adapter


Grid2Op a testbed platform to model sequential decision making in power systems.


:speech_balloon: Speech recognition for your site


Brood War API


The Tensor Algebra Compiler (taco) computes sparse tensor expressions on CPUs and GPUs


Containerized Automated Radio Astronomy Calibration (CARACal) pipeline


NLP, before and after spaCy


Assembly and intrahost/low-frequency variant calling for viral samples


ChampSim is an open-source trace based simulator maintained at Texas A&M University and through the support of the computer architecture community.


James Webb Space Telescope PSF simulation tool


The Herd toolsuite to deal with .cat memory models (version 7.xx)


Apache Beam pipelines to make weather data accessible and useful.


Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.


Scrape Twitter for Tweets


Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks


Tools for keeping your cloud operating in top form. Chaos Monkey is a resiliency tool that helps applications tolerate random instance failures.


FFCV: Fast Forward Computer Vision (and other ML workloads!)


:movie_camera: Python and OpenCV-based scene cut/transition detection program & library.


A tool to identify disadvantaged communities due to environmental, socioeconomic and health burdens


Copy number variant detection from targeted DNA sequencing


LightSeq: A High Performance Library for Sequence Processing and Generation


Database Benchmarking Framework


Platform for storing and exploring sensor data


A pythonic library for probing nuclear physics and cosmology with multimessenger analysis


This program converts MATLAB®/Octave figures to TikZ/pgfplots figures for smooth integration into LaTeX.


Fast Neural Machine Translation in C++


The official Android/Fire Phone app for OneBusAway


LIBLINEAR -- A Library for Large Linear Classification


A promise library for JavaScript


MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.


GenX: a configurable power system capacity expansion model for studying low-carbon energy futures. More details at : https://genx.mit.edu


R Interface to the jQuery Plug-in DataTables


Genome annotation with AUGUSTUS


LibRec: A Leading Java Library for Recommender Systems, see


Signal-level algorithms for MinION data


The app that powers api.safecast.org


ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its  goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.


Instruct-tune LLaMA on consumer hardware


A guidance language for controlling large language models.


Trying to tame the three-headed dog.


A shared API for QUBO/Ising samplers.


Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.


A framework for large scale recommendation algorithms.


ncnn is a high-performance neural network inference framework optimized for the mobile platform


SGX-LKL Library OS for running Linux applications inside of Intel SGX enclaves


Aave Protocol V2


Open Global Glacier Model


A Bayesian optimization toolbox built on TensorFlow


T.J. Watson Libraries for Analysis, with frontends for Java, Android, and JavaScript, and may common static program analyses


WebGL protein viewer


STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.


Open Source Web Crawler for Java


Hash function quality and speed tests


Medical Imaging Deep Learning library to train and deploy 3D segmentation models on Azure Machine Learning


A python implementation of Gate Set Tomography


repository for the Functionally Assembled Terrestrial Ecosystem Simulator (FATES)


SRA Tools


Convert HTML to Markdown-formatted text.


Private Q&A and summarization of documents+images or chat with local GPT, 100% private, Apache 2.0. Supports Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://codellama.h2o.ai/


Noah Research


Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.


An implementation of the Grammar of Graphics in R


Python client for the ENTSO-E API (european network of transmission system operators for electricity)


Patch-level verification for Bundler


Deep Learning framework for Julia


⚖ The CNCF Technical Oversight Committee (TOC) is the technical governing body of the CNCF Foundation.


An open platform for science on Amazon Mechanical Turk.


Download pictures (or videos) along with their captions and other metadata from Instagram.


Dataflow compiler for QNN inference on FPGAs


:electron: Build cross-platform desktop apps with JavaScript, HTML, and CSS


Source ontology files for the Gene Ontology


An Efficient Probabilistic 3D Mapping Framework Based on Octrees. Contains the main OctoMap library, the viewer octovis, and dynamicEDT3D.


Livermore Big Artificial Neural Network Toolkit


EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit


Build process for the OHDSI Standardized Vocabularies. Currently not available as independent release.


NASLib is a Neural Architecture Search (NAS) library for facilitating NAS research for the community by providing interfaces to several state-of-the-art NAS search spaces and optimizers.


Linux user space library for network socket acceleration based on RDMA compatible network adaptors


Microsoft SEAL is an easy-to-use and powerful homomorphic encryption library.


This is the official development repository for BCFtools. See installation instructions and other documentation here http://samtools.github.io/bcftools/howtos/install.html


NWChem: Open Source High-Performance Computational Chemistry


Ignis (deprecated) provides tools for quantum hardware verification, noise characterization, and error correction.


Repository for the Open Energy Ontology (OEO)


The efficient SMT-based context-bounded model checker (ESBMC)


Highly-accurate & wicked fast transcript-level quantification from RNA-seq reads using selective alignment


System Advisor Model (SAM)


TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data


The JTS Topology Suite is a Java library for creating and manipulating vector geometry.


Definition and DDLs for the OMOP Common Data Model (CDM)


nnU-Net. Framework for out-of-the box biomedical image segmentation. Can do inference on both gpu(if cuda available) and cpu(if cuda not available)


Treetracker is Greenstands open source Android app to track and verify reforestation efforts globally. NEW DEVELOPERS:  Please refer to the README for is issue milestones and topics!  https://github.com/Greenstand/treetracker-android/blob/master/README.md


The Open Forcefield Toolkit provides implementations of the SMIRNOFF format, parameterization engine, and other tools. Documentation available at http://open-forcefield-toolkit.readthedocs.io


Fast numerical array expression evaluator for Python, NumPy, Pandas, PyTables and more


Landlab codebase, wiki, and tests


Lime: Explaining the predictions of any machine learning classifier


Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages


A generic framework for on-demand, incrementalized computation. Inspired by adapton, glimmer, and rustc's query system.


Next generation FEniCS problem solving environment


Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models


Confidential Consortium Framework


Marker Clustering plugin for Leaflet


The modular galaxy image simulation toolkit.  Documentation:


A library for easy and efficient manipulation of tensor networks.


A machine learning software for extracting information from scholarly documents


v4l2-loopback device


MRtrix3 provides a set of tools to perform various advanced diffusion MRI analyses, including constrained spherical deconvolution (CSD), probabilistic tractography, track-density imaging, and apparent fibre density


Specifications of SAM/BAM and related high-throughput sequencing file formats


Corda is an open source blockchain project, designed for business from the start. Only Corda allows you to build interoperable blockchain networks that transact in strict privacy. Corda's smart contract technology allows businesses to transact directly, with value.


IOR and mdtest


An interactive explorer for single-cell transcriptomics data


Groundwater Wells and Aquifers application for the Ministry of Environment


Linux-CAN / SocketCAN user space applications


A Framework for Building Robust Shiny Apps


Sparsity-aware deep learning inference runtime for CPUs


:robot: :speech_balloon: Deep learning for Text to Speech  (Discussion forum: https://discourse.mozilla.org/c/tts)


Community curated plugins for core-lightning


LST prototype testbench chain


The reference P4 software switch


A unified framework for machine learning with time series


Python healpix maps tools


Plant phenotyping with image analysis


a basic OpenSCENARIO player


Joda-Time is the widely used replacement for the Java date and time classes prior to Java SE 8.


Official repo for the #tidytuesday project


Six Degrees of Domain Admin


The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy


A multi-party collaborative machine learning framework


Package to call Python functions from the Julia language


An extensible multilanguage static code analyzer.


YOLOv5  in PyTorch > ONNX > CoreML > TFLite


Open source implementation of OPC UA (OPC Unified Architecture) aka IEC 62541 licensed under Mozilla Public License v2.0


A deep learning package for many-body potential energy representation and molecular dynamics


Standard Energy Efficiency Data (SEED) Platform™ is a web-based application that helps organizations easily manage data on the energy performance of large groups of buildings.


A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.


Monitor Memory usage of Python code


Parameter/topology editor and molecular simulator


Warning: This project does not have any current developer. See bellow.


ATLAS is an open source software tool for researchers to conduct scientific analyses on standardized observational data


Quantum assembly language for extended quantum circuits


Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-Modal with Easy Inference & Serving)


the AI-native open-source embedding database


Repository for MPAS models and shared framework releases.


Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis


Interchain Standards (ICS) for the Cosmos network & interchain ecosystem.


Caffe2 is a lightweight, modular, and scalable deep learning framework.


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


Computational toolbox for large scale Calcium Imaging Analysis, including movie handling, motion correction, source extraction, spike deconvolution and result visualization.


Simple Python style checker in one Python file


A command-line benchmarking tool


Geocoding library for Python.


A modular laboratory experiment management suite.


Trust & Safety tools for working together to fight digital harms.


Ryu component-based software defined networking framework


This coq library aims to formalize a substantial body of mathematics using the univalent point of view.


Language-agnostic HTTP API Testing Tool


Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application


Metadata database for ENCODE project


Download market data from Yahoo! Finance's API


Perceptual video quality assessment based on multi-method fusion.


Official GitHub repository for netCDF-C libraries and utilities.


HydroShare is a collaborative website for better access to data and models in the hydrologic sciences.


Lingvo


ClosedXML is a .NET library for reading, manipulating and writing Excel 2007+ (.xlsx, .xlsm) files. It aims to provide an intuitive and user-friendly interface to dealing with the underlying OpenXML API.


A tool for reverse engineering Android apk files


Pretrained models for TensorFlow.js


A computer algebra system written in pure Python


The code coverage tool for Python


Repo for external large-scale work


Platform for building access networks and modular network services


A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.


Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch


Open source platform for the machine learning lifecycle


Tom's Obvious, Minimal Language


FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, FEDML Nexus AI (https://nexus.fedml.ai) is the dedicated cloud service for generative AI


Quantum chemistry and solid state physics software package


Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.


Next generation Brave browser for Android, Linux, macOS, Windows.


open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.


A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.


Learn OpenCV  : C++ and Python Examples


Python version of the amazing Reaction Mechanism Generator (RMG).


Collection of Verification Tasks (MOVED, please follow the link)


Web-app for processing, logging and visualising energy, temperature and other environmental data


Python library for audio and music analysis


Bitcoin Core integration/staging tree


Ceph is a distributed object, block, and file storage platform


A Python package for extending the official PyTorch that can easily obtain performance on Intel platform


A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)


Swarm: Censorship resistant storage and communication infrastructure for a truly sovereign digital society


AWS Service registry for resilient mid-tier load balancing and failover.


Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans


A Python package for gamma-ray astronomy


Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more


The WebAssembly Binary Toolkit


1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.


oneAPI Deep Neural Network Library (oneDNN)


A YAML parser and emitter in C++


Best Practices on Recommendation Systems


OpenYurt - Extending your native Kubernetes to edge(project under CNCF)


The official git repository for Contiki, the open source OS for the Internet of Things


Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.


A pure-python PDF library capable of splitting, merging, cropping, and transforming the pages of PDF files


A toolkit for developing and comparing reinforcement learning algorithms.


The Triton Inference Server provides an optimized cloud and edge inferencing solution.


Checkstyle is a development tool to help programmers write Java code that adheres to a coding standard. By default it supports the Google Java Style Guide and Sun Code Conventions, but is highly configurable. It can be invoked with an ANT task and a command line program.


CMSIS Version 5 Development Repository


State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.


Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.


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


Static Analyzer for Solidity and Vyper


Official Python client library for kubernetes


An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.


Twitter for Python!


Deep universal probabilistic programming with Python and PyTorch


The reference implementation of the Linux FUSE (Filesystem in Userspace) interface


The Kubernetes Package Manager


DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.


stb single-file public domain libraries for C/C++


ESMValTool: A community diagnostic and performance metrics tool for routine evaluation of Earth system models in CMIP


An interactive TLS-capable intercepting HTTP proxy for penetration testers and software developers.


TLS/SSL and crypto library


Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.


Apache Hadoop


The fastai deep learning library


A DSL for data-driven computational pipelines


The 3rd edition of course.fast.ai


The Julia Programming Language


Serve, optimize and scale PyTorch models in production


The MATLAB toolbox for MEG, EEG and iEEG analysis


AI Toolkit for Healthcare Imaging


Kokkos C++ Performance Portability Programming Ecosystem: The Programming Model - Parallel Execution and Memory Abstraction


indy-sdk


Magnificent app which corrects your previous console command.


A browser automation framework and ecosystem.


Official Go implementation of the Ethereum protocol


Cross-platform .NET sample microservices and container based application that runs on Linux Windows and macOS. Powered by .NET 7, Docker Containers and Azure Kubernetes Services. Supports Visual Studio, VS for Mac and CLI based environments with Docker CLI, dotnet CLI, VS Code or any other code editor. Moved to https://github.com/dotnet/eShop.


A command line tool and library for transferring data with URL syntax, supporting DICT, FILE, FTP, FTPS, GOPHER, GOPHERS, HTTP, HTTPS, IMAP, IMAPS, LDAP, LDAPS, MQTT, POP3, POP3S, RTMP, RTMPS, RTSP, SCP, SFTP, SMB, SMBS, SMTP, SMTPS, TELNET, TFTP, WS and WSS. libcurl offers a myriad of powerful features


PaddlePaddle High Performance Deep Learning Inference Engine for Mobile and Edge (飞桨高性能深度学习端侧推理引擎）


This is the development home of the workflow management system Snakemake. For general information, see


Ethereum consensus client in Rust


TensorFlow's Visualization Toolkit


Apache Airflow - A platform to programmatically author, schedule, and monitor workflows


Apache OpenWhisk is an open source serverless cloud platform


Hyperledger Fabric is an enterprise-grade permissioned distributed ledger framework for developing solutions and applications. Its modular and versatile design satisfies a broad range of industry use cases. It offers a unique approach to consensus that enables performance at scale while preserving privacy.


dplyr: A grammar of data manipulation


Connect suppliers, distributors and consumers to trade local produce.


Scrapy, a fast high-level web crawling & scraping framework for Python.


cryptography is a package designed to expose cryptographic primitives and recipes to Python developers.


Bayesian active RL (BARL) and trajectory information planning (TIP)


Code for NIPS 2017 spotlight paper: "Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration" by Jason Altschuler, Jonathan Weed, and Philippe Rigollet. Full paper available at: https://papers.nips.cc/paper/6792-near-linear-time-approximation-algorithms-for-optimal-transport-via-sinkhorn-iteration.


add frozen and its prediction code by using pb file


(ICLR 2021) ConstellationNet: Attentional Constellation Nets for Few-Shot Learning


The implementation of Discriminator Soft Actor Critic


A curated repository of Neuro-AI papers.


Implementation of 2D-3D Cyclic Generative Renderer (3DV-2020).


Map-Elites based on Evolution Strategies


proportion-SVM (pSVM, $\propto$SVM) for learning with label proportions


Implementing SimCSE using KR-BERT


A repository collating interesting and/or influential predictive coding papers


The code accompanying our ECCV'22 papers: Constructing Balance from Imbalance for Long-tailed Image Recognition


VIC-Res: Representation of water reservoir storage and operations in the Variable Infiltration Capacity (VIC) model


Understanding Training Dynamics of Deep ReLU Networks


HARV - HArdened Risc-V


One of the ancestors of River


Verified compilation of space-efficient reversible circuits


Accompanying code for our HESS paper "Towards learning universal, regional, and local hydrological behaviors via machine learning applied to large-sample datasets"


Matlab code of Bayesian CP Factorization for Tensor Completion


Official PyTorch Implementation for Fast Adaptive Multitask Optimization (FAMO)


A collection of differentiable SVD methods and ICCV21 "Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance Pooling?"


A 5 machine representation of the Nordic synchronous power system.


Bayesian Jenaer software


Official PyTorch implementation of BigVGAN (ICLR 2023)


MS-DAP: downstream analysis pipeline for quantitative proteomics


Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"


Code for ICLR 2023 paper (Oral) — Towards Stable Test-Time Adaptation in Dynamic Wild World


Creative Commons Attribution Share Alike 4.0 International

Deep Lesion Tracker


A TensorFlow implementation of perceptual generative autoencoder (PGA).


优达学城无人驾驶工程师纳米学位P7--高速公路驾驶


Sequential recommendation algorithm


One Model to Unite Them All: Personalized Federated Learning of Multi-Contrast MRI Synthesis (pFLSynth)


This repository is the official PyTorch implementation of "Distilling Linguistic Context for Language Model Compression" by GeondoPark, Gyeongman Kim and Eunho Yang.


Energy Sharing System


An up-to-date list of papers and code relating to progress in the burgeoning field of AI-Drug Discovery


Defeasible Natural Language Inference


Collection and Implementation of Mobile-based Vision Transformer in Pytorch


Brain-related -omics data


Code for "Planning Goals for Exploration", ICLR2023 Spotlight. An unsupervised RL agent for hard exploration tasks.


Agricultural datasets


Crystal Graph Neural Networks


Official implementation of "cmSalGAN: RGB-D Salient Object Detection with Cross-View Generative Adversarial Networks" (IEEE TMM 2020)


Python implementation of projection losses.


My implementation of various GAN (generative adversarial networks) architectures like vanilla GAN (Goodfellow et al.), cGAN (Mirza et al.), DCGAN (Radford et al.), etc.


Xray Image Classifier in collaboration with Chulalongkorn University Computational Molecular Biology Research Group


A continually expanding collection of cancer genomics notes and data


The Python toolkit for computing with string diagrams.


Efficient Wasserstein Barycenter in MATLAB (for "Fast Discrete Distribution Clustering Using Wasserstein Barycenter with Sparse Support" TSP)


Determining the RotAtion Count of pULsArs


Robust Asymmetric Loss for Multi-Label Long-Tailed Learning


Zero-shot Transfer Learning from English to Arabic


Visualization of electron microscopy datasets with deep learning


rhierbaps: R implementation of hierBAPS


SparseP is the first open-source Sparse Matrix Vector Multiplication (SpMV) software package for real-world Processing-In-Memory (PIM) architectures. SparseP is developed to evaluate and characterize the first publicly-available real-world PIM architecture, the UPMEM PIM architecture. Described by C. Giannoula et al. [https://arxiv.org/abs/2201.05072]


Implementation of "Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update", NeurIPS 2019.


Awesome resources for artificial intelligence in cardiology


Public repository for 3D-MILP paper.


Code for mixup contrastive learning


Non-Autoregressive Predictive Coding


Watset: Automatic Induction of Synsets from a Graph of Synonyms


RISC-V Instruction Set Simulator (Built for education).


Few shot learning for human pose estimation


The QMNIST dataset


This is a sample implementation of "Asymmetric Transitivity Preserving Graph Embedding"(KDD 2016).


A project with topic model implementations


Gromov-Wasserstein Learning for Graph Matching and Node Embedding


A fast implementation of the LA Cosmic algorithm


[ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.


Datasets for the Monolingual Word Sense Alignment (MWSA) task


code for our ECCV 2020 paper "A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation"


Utilities for nonlinear least-squares fits.


(wip) Use LAION-AI's CLIP "conditoned prior" to generate CLIP image embeds from CLIP text embeds.


A curated list of recent textbooks, reviews, perspectives, and research papers related to quantum machine learning, variational quantum algorithms, tensor networks, and classical machine learning applications in quantum systems.


GMSS2.0 is a software package for implementing stochastic ground motion simulation using finite-fault sources.


State-of-the-art medical image registration methods


This repository contains JSON decision models for analyzed disability-claim decisions issued by the Board of Veterans' Appeals of the U.S. Department of Veterans Affairs.


The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)


A continually expanding collection of RNA-seq tools


Liquid Prep offers an end-to-end solution for farmers looking to optimize their water usage, especially during times of drought.


A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)


Robust PCA implementation and examples (Matlab)


This is a Pytorch implementation of our "Learning on Attribute-Missing Graphs".


[CVPR 2023] 3D Representation Learning via Foreground Aware Feature Contrast


Code for "Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills"


A Julia package for training and evaluating multimodal deep Boltzmann machines


Combines Bayesian analyses from many datasets.


[ICLR'21] Neural Pruning via Growing Regularization (PyTorch)


Learning to Aggregate Multi-Scale Context for Instance Segmentation in Remote Sensing Images (TNNLS 2023)


Python modules and jupyter notebook examples for the paper Arbitrage-free Neural-SDE Market Models.


Code for paper "Adversarial Support Alignment"


Paper list of federated learning: About system design


Digital Image Correlation using a Fast Fourier Transform approach


Minimal implementation of PAWS (https://arxiv.org/abs/2104.13963) in TensorFlow.


An Adversarially Crowdsourced Benchmark for Spatial Relation Recognition


DEDPUL: method for Positive-Unlabeled Classification and Mixture Proportions Estimation


Analytic calibration for differential privacy with Gaussian perturbations


scATAC-seq data analysis tools and papers


Code accompanying "Sketching Curvature for Efficient Out-of-Distribution Detection for Deep Neural Networks"


PyTorch code for Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings (ICCV 2021)


Code release for the TIP paper and MICCAI2018 paper "One-Pass Multi-task Convolutional Neural Networks for Efficient Brain Tumor Segmentation".


Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR


Author implementation of "Learning Recurrent Span Representations for Extractive Question Answering" (Lee et al. 2016)


Scripts for downloading and pre-processing the `proof-pile`, a high quality dataset of mathematical text and code.


GitHub repo for FSE 2021 Paper - ``Bias in Machine Learning Software: Why? How? What to do?''


Likelihood-Free Inference for Gravitational Waves


Paper list of dementia detection


Fast Laplacian estimation


PyTorch Package For Quasimetric Learning


Zero-order Reaction Kinetics (Zero-RK) is a software package that simulates chemically reacting systems in a computationally efficient manner.


Official repository for paper "Conservative Offline Distributional Reinforcement Learning" (NeurIPS 2021)


Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).


(SIGKDD 2022) Connected Low-Loss Subspace Learning for a Personalization in Federated Learning (https://arxiv.org/abs/2109.07628)


[ICIP 2023 (oral)] Team DETR: Guide Queries as a Professional Team in Detection Transformers


PRedictor of IMmunogenic Epitopes


Stencil with Optimized Dataflow Architecture


Red-C data processing


The information sieve for discrete variables.


Bengali stopwords collection


AirSim is a simulator for drones, cars and more, built on Unreal Engine. We expand it with new implementations and sensor modalities.


The Mingled Structured Predictor


This is a sample implementation of "Billion-scale Network Embedding with Iterative Random Projection" (ICDM 2018).


Code deobfuscation framework to simplify Mixed Boolean-Arithmetic (MBA) expressions


Code to compute and test structural decoupling index (Preti & Van De Ville 2019)


A comprehensive list [I3CL@IJCV'22, DPText-DETR@AAAI'23, DeepSolo(++)@CVPR'23] of our research works related to scene text detection and spotting, including papers, codes. Note: The official repo for "I3CL: Intra- and Inter-Instance Collaborative Learning for Arbitrary-shaped ..." has been moved to: https://github.com/ViTAE-Transformer/I3CL


[TMLR] "SC2 Benchmark: Supervised Compression for Split Computing"


Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"


LightningFSL: Pytorch-Lightning implementations of Few-Shot Learning models.


A short library for calculating the state transitions Perturbational Complexity Index (PCIst)


Japanese--Russian--English News Commentary Parallel Data


A PyTorch implementation of Attention is all you need


The official repository for <Autoencoding Under Normalization Constraints> (Yoon, Noh and Park, ICML 2021).


Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"


a reimplementation of Holistically-Nested Edge Detection in PyTorch


Adversarial Black box Explainer generating Latent Exemplars


Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.


Code for the paper "Better Diffusion Models Further Improve Adversarial Training" (ICML 2023)


Variational Auto-Encoder that generates synthetic gene expression data


All about DeepLearning: 推荐系统、自然语言处理、Tensorflow、Pytorch等


Code for "Classifying Unstructured Clinical Notes via Automatic Weak Supervision", MLHC 2022.


VQVAE for video prediction


A simple framework for distributed reinforcement learning in PyTorch.


The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (SOTA) model with efficiency for time series imputation (imputing multivariate incomplete time series containing missing data/values). https://arxiv.org/abs/2202.08516


hULMonA (حلمنا): tHe first Universal Language MOdel iN Arabic


Pytorch implementation of the ECCV 2020 paper: AtlantaNet: Inferring the 3D Indoor Layout from a Single 360 Image beyond the Manhattan World Assumption


Variational inference and disentangled representations through unsupervised learning


MagNet graph convolutional network


ActiveCrowdToolkit: Benchmarking tools for crowdsourcing research


Self-supervised learning through the eyes of a child


Conditional generative adversarial networks for convolutional face generation


Bangla-Bert is a pretrained bert model for Bengali language


[NeurIPS2019] Chirality Nets for Human Pose Regression


A repository with a data set including instances and results from literature for the Job Shop Scheduling Problem (JSSP). While the raw data is provided as text files, it is also compiled in an R package with an API around it.


A scalable variant calling and benchmarking framework supporting both short and long reads.


The implementation of <Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation> in PyTorch.


Make river relative elevation models (REM) and REM visualizations from an input digital elevation model (DEM).


A list of scRNA-seq analysis tools


[ICML 2020] InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs


This repository contains CO1 reference sets that can be used with the RDP Classifier, BLAST, or SINTAX to classify COI metabarcode sequences.


This repo supports various cross-lingual transfer learning & multilingual NLP models.


A retrieval augmented sequence modeling toolkit implemented based on Fairseq


Vision


ACM MM 2021: 'Is Someone Speaking? Exploring Long-term Temporal Features for Audio-visual Active Speaker Detection'


Augmented halo model for accurate non-linear matter power spectrum calculations


Texture Analysis test tool for PET images


Composing General Audio Representation by Fusing Multilayer Features of a Pre-trained Model


PRG's Software and Hardware Framework for Quadrotors


My collection of Python tools!


A Fisher information matrix python package for GW detector networks.


Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment


Neural network based lemmatizer for Finnish language


An implementation and example of Partial Key Grouping for Apache Storm. Partial Key Grouping is a load balancing strategy for distributed stream processing systems.


DLFuzz: An Efficient Fuzzing Testing Framework of Deep Learning Systems


[ICLR 2022] Finding an Unsupervised Image Segmenter in each of your Deep Generative Models


scRNA-seq clustering, visualization, and differential expression pipeline from Sims Lab papers


remef: Remove Partial Effects


Disentangled Self-Supervision in Sequential Recommenders


All code related to the paper: "A Copula Statistic for Measuring Nonlinear Multivariate Dependence"


Implementation of Bootstrap DQN and Randomized Prior Functions on ALE


The repository of the course "Machine Learning in Drug Design" at the Jagiellonian University, Kraków, Poland. The page is hosted by the machine learning research group GMUM.


Coverage tests to check the quality of your posterior estimators.


A minimal nmt example to serve as an seq2seq+attention reference.


Code accompanying the article "Self-Supervised Learning for Scene Classification in Remote Sensing: current State of the Art and Perspectives"


Optimised estimates of reproduction numbers over time, which extract more information from an incidence curve than many conventional approaches


Transient Search


TIDE (Tumor Immune Dysfunction and Exclusion), a gene expression biomarker to predict the clinical response to immune checkpoint blockade in Python.


[2022 TPAMI] Contrastive Positive Sample Propagation along the Audio-Visual Event Line


2.86% and 15.85% on CIFAR-10 and CIFAR-100


BioGeography with Bayesian (and likelihood) Evolutionary Analysis with R Scripts


Probabilistic Answer Set Programming and Probabilistic SAT solving, based on Differentiable Satisfiability


Image colorization with generative adversarial networks on the CIFAR10 dataset.


Fast linear algebra in MATLAB


Canonical Correlation Forests


Implementation of local differential privacy mechanisms in Python language.


list of brain networks ready to be downloaded for your brainhacking pleasure


Classification of Alzheimer's disease status with convolutional neural networks.


A collection of GNN-based fake news detection models.


Demonstration of the PIPG algorithm for trajectory optimization


A scikit-learn compatible Python package for GPU-accelerated computation of the signature kernel using CuPy.


A Light CNN for Deep Face Representation with Noisy Labels, TIFS 2018


Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04


An implementation of the Residual Flow algorithm for out-of-distribution detection.


Code for the paper 'Personalization in Goal-oriented Dialog' (NeurIPS 2017 Conversational AI Workshop)


This project develops the program FORGE. It allows to calculate gene p-values from Genome-Wide Association Data using multivariate methods. The gene-level statistics can be used for pathway or other system biology analyses (check out sister project for additional on pathway analysis with GWAS data: https://github.com/inti/GeneSetAnalysis/wiki). Check our Wiki for more details


Clubmark: a Parallel Isolation Framework for Benchmarking and Profiling of Clustering (Community Detection) Algorithms Considering Overlaps (Covers)


The repository contains a collection of Arabic tweets IDs associated with the novel coronavirus COVID-19. The dataset contains Tweets' ids from 2020-01-01 to 2020-04-30. The Twitter search API was used to gather real-time tweets that contained specific keywords in the Arabic language. The dataset contains almost four millions and half Arabic tweets.


[ICPR 2022] Data, code and pretrained models for Deep Surface Reconstruction from Point Clouds with Visibility Information


Processing and analysis of proteomics data


Vector Quantized Autoregressive Predictive Coding (VQ-APC)


Audio Captioning datasets for PyTorch.


Scripts for SPM, FSL and AFNI used for investigating the validity of parametric statistics for multi-subject fMRI.


Bilinear attention networks for visual question answering


A speaker embedding network in Pytorch that is very quick to set up and use for whatever purposes.


Public releases of the FLEE agent-based modelling code.


DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (DQN) agent.


Clear implementation of arithmetic coding for educational purposes in Java, Python, C++.


Dynamic electricity carbon emission factors and prices for Europe


Mixed Model Package For Genome-wide association mapping.


Pythonic spectral proper orthogonal decomposition


Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters


The Marine Systems Simulator (MSS) is software that supplements the textbook "Handbook of Marine Craft Hydrodynamics and Motion Control," 2nd Edition, by T. I. Fossen, published in 2021 by John Wiley & Sons Ltd.


An R package for analysis of curve data with phase and amplitude variation


PyTorch Implementation of Google Brain's WaveGrad 2: Iterative Refinement for Text-to-Speech Synthesis


ECCV 2022: Learning to Weight Samples for Dynamic Early-exiting Networks


[IJCV 2021] Python implementation of deblatting


A microbiome analysis toolkit for R