Lean 3's obsolete mathematical components library: please use mathlib4


QuTiP: Quantum Toolbox in Python


Analysis Pipeline for Single Cell ATAC-seq


Creative Commons Attribution 4.0 International

NIF Standard Ontologies (NIFSTD)


Evaluate: A library for easily evaluating machine learning models and datasets.


Compiler for Neural Network hardware accelerators


Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.


Vlasiator - ten letters you can count on


glmmTMB


Open source drivers for the Kinect for Windows v2 device


Modelica Buildings library


Privacy Badger is a browser extension that automatically learns to block invisible trackers.


Circuit IR Compilers and Tools


A tool for extracting plain text from Wikipedia dumps


GRR Rapid Response: remote live forensics for incident response


An electronic structure package based on either plane wave basis or numerical atomic orbitals.


The RWTH extensible training framework for universal recurrent neural networks


GUI for brightway2


Decentralized Privacy-Preserving Proximity Tracing -- Documents


:microscope: Java Code Coverage Library


RISC-V Instruction Set Manual


结巴中文分词


A microbenchmark support library


A versatile pairwise aligner for genomic and spliced nucleotide sequences


Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library,  for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow


Build system for the RTX-KG2 biomedical knowledge graph, part of the ARAX reasoning system (https://github.com/RTXTeam/RTX)


3D ResNets for Action Recognition (CVPR 2018)


A QUIC implementation in pure go


The Framework for Modeling Behavior, Energy, Autonomy, and Mobility in Transportation Systems


A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)


OpenMMLab Text Detection, Recognition and Understanding Toolbox


Facebook AI Research Sequence-to-Sequence Toolkit written in Python.


Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks


High-Performance NoSQL database and RESTful web services to access to most relevant biological data


A simple, fully convolutional model for real-time instance segmentation.


Efficient 3D human pose estimation in video using 2D keypoint trajectories


Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.


RetDec is a retargetable machine-code decompiler based on LLVM.


Cylon is a fast, scalable, distributed memory, parallel runtime with a Pandas like DataFrame.


Easy-to-use glTF 2.0-compliant OpenGL renderer for visualization of 3D scenes.


The Visualization Multitool for Molecular Epidemiology and Bioinformatics


Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX


Protect and discover secrets using Gitleaks


Tesseract Open Source OCR Engine (main repository)


Application Kernel for Containers


Caffe: a fast open framework for deep learning.


Open source version of Google Authenticator (except the Android app)


Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)


Node.js JavaScript runtime ✨✨


caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models


Energy Exascale Earth System Model source code.  NOTE:  use "maint" branches for your work.  Head of master is not validated.


The rewritten engine, originally for tensorflow. Now all other backends have been ported here.


Development of the Ocean Data and Information System (ODIS) architecture


TARDIS - Temperature And Radiative Diffusion In Supernovae


Intel PMU profiling tools


iperf3:  A TCP, UDP, and SCTP network bandwidth measurement tool


Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.


Lightning fast C++/CUDA neural network framework


CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.


Efficiently computes derivatives of numpy code.


PX4 Autopilot Software


The pattern matching swiss knife


Uniform Manifold Approximation and Projection


R Interface to Python


A WebGL accelerated JavaScript library for training and deploying ML models.


Channel State Information Extraction on Various Broadcom Wi-Fi Chips


A collection of pre-trained, state-of-the-art models in the ONNX format


Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.


A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"


Tools for curating biomedical training data for large-scale language modeling


Object detection, 3D detection, and pose estimation using center point detection:


WebGL point cloud viewer for large datasets


Code for the paper "Jukebox: A Generative Model for Music"


XLNet: Generalized Autoregressive Pretraining for Language Understanding


Ethereum implementation on the efficiency frontier


A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)


Accurate sample inference from amplicon data with single nucleotide resolution


Header-only C++/python library for fast approximate nearest neighbors


GraalVM compiles Java applications into native executables that start instantly, scale fast, and use fewer compute resources


Firmware Analysis Tool


LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.


Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.


Streamlit — A faster way to build and share data apps.


R package for performing 2-sample MR using MR-Base database


Apache Spark - A unified analytics engine for large-scale data processing


Zcash Improvement Proposals


COCO API - Dataset @ http://cocodataset.org/


OSS-Fuzz - continuous fuzzing for open source software.


A OpenMMLAB toolbox  for human pose estimation, skeleton-based action recognition, and action synthesis.


CogComp's Natural Language Processing Libraries and Demos: Modules include lemmatizer, ner, pos, prep-srl, quantifier, question type, relation-extraction, similarity, temporal normalizer, tokenizer, transliteration, verb-sense, and more.


Ghidra is a software reverse engineering (SRE) framework


Snabb: Simple and fast packet networking


The primary source code repository for Macaulay2, a system for computing in commutative algebra, algebraic geometry and related fields.


The official repository for the AiiDA code


Scenic: A Jax Library for Computer Vision Research and Beyond


AngularJS - HTML enhanced for web apps!


SPAdes Genome Assembler


Image tracking, Location Based AR, Marker tracking. All on the Web.


Models and examples built with TensorFlow


Julia software for fast, friendly, flexible, ocean-flavored fluid dynamics on CPUs and GPUs


scikit-bio is an open-source, BSD-licensed, Python package providing data structures, algorithms, and educational resources for bioinformatics.


eSpeak NG is an open source speech synthesizer that supports more than hundred languages and accents.


The official Vim repository


phy: interactive visualization and manual spike sorting of large-scale ephys data


VCF visualization interface


Tensorflow Faster RCNN for Object Detection


A standalone version of the readability lib


Validator for the Brain Imaging Data Structure


Burrow-Wheeler Aligner for short-read alignment (see minimap2 for long-read alignment)


Grounded-SAM: Marrying Grounding-DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything


Open source routing engine for OpenStreetMap. Use it as Java library or standalone web server.


High performance radio data processing pipeline


Interactive Widgets for the Jupyter Notebook


Core engine for the Brave browser for Android, Linux, macOS, Windows. For issues https://github.com/brave/brave-browser/issues


cBioPortal for Cancer Genomics


The Unified Phenotype Ontology (uPheno) integrates multiple phenotype ontologies into a unified cross-species phenotype ontology.


Python library for science observations from the James Webb Space Telescope


Image processing in Python


RNA-seq aligner


Chinese and English multimodal conversational language model | 多模态中英双语对话语言模型


This repository contains the codes of "A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild", published at ACM Multimedia 2020.


Your window into the Elastic Stack


Enabling PyTorch on XLA Devices (e.g. Google TPU)


Go implementation of Ethereum proof of stake


:pencil2: Web-based image segmentation tool for object detection, localization, and keypoints


HiBench is a big data benchmark suite.


Pipeline components for real-time phylodynamic analysis


Neural Adaptive Video Streaming with Pensieve (SIGCOMM '17)


Implementation of some deep learning algorithms.


Hierarchical Generation of Molecular Graphs using Structural Motifs


JAMR Parser and Generator


3D de novo assembly (3D DNA) pipeline


implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)


A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning


VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech


A clean and readable Pytorch implementation of CycleGAN


Code for paper "A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image". ICCV2019


CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes


Implementation of the Pairwise Sequentially Markovian Coalescent (PSMC) model


Using modified BiSeNet for face parsing in PyTorch


Python tools for 3D face: 3DMM, Mesh processing(transform, camera, light, render), 3D face representations.


Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.


Open source code for the paper of Neural Sparse Voxel Fields.


Official implementation of "Designing an Encoder for StyleGAN Image Manipulation"  (SIGGRAPH 2021) https://arxiv.org/abs/2102.02766


Github of the FaceForensics dataset


Easiest Fully Convolutional Networks


Official code for CAT-Net: Compression Artifact Tracing Network. Image manipulation detection and localization.


Gene fusion detection and visualization


DIRT: a fast differentiable renderer for TensorFlow


An automated machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers). Python 3.6 required.


Tensorflow implementation of DeepFM for CTR prediction.


OKVIS: Open Keyframe-based Visual-Inertial SLAM.


SA-SSD: Structure Aware Single-stage 3D Object Detection from Point Cloud (CVPR 2020)


A Generative Flow for Text-to-Speech via Monotonic Alignment Search


Simple but effective library to translate Java source code to Python.


Age Progression/Regression by Conditional Adversarial Autoencoder


Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)


The project is an official implement of our CVPR2019 paper "Recurrent Back-Projection Network for Video Super-Resolution"


3D face swapping implemented in Python


BS-Seeker3: An Ultra-fast, Versatile Pipeline for Mapping Bisulfite-treated Reads.


MemAE for anomaly detection. -- Gong, Dong, et al. "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection". ICCV 2019.


[CVPR19] FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation from a Single Image


Model analyzer in PyTorch


Pipeline for processing inDrops sequencing data


StyleGAN Encoder - converts real images to latent space


Generative Adversarial Text-to-Image Synthesis


Environmental modeling software


Code and model for the paper "Improving Language Understanding by Generative Pre-Training"


Python tools for reading, writing, compiling, simulating quantum computer circuits. Includes numpy and tensorflow backends. “Quantum Space, the final frontier. These are the voyages of the starship Qubiter. Its five-year mission: to explore strange new worlds, to seek out new life and new civilizations, to boldly go where no man has gone before.”


[ECCV2018] Distractor-aware Siamese Networks for Visual Object Tracking


(Not Offical) BBMap short read aligner, and other bioinformatic tools.


Eigen tools by Nick Patterson and Alkes Price lab


code for EMNLP 2019 paper Text Summarization with Pretrained Encoders


Unsupervised Scale-consistent Depth Learning from Video (IJCV2021 & NeurIPS 2019)


PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space


Use Google's BERT for named entity recognition （CoNLL-2003 as the dataset）.


Yet Another Neural Machine Translation Toolkit


Repository to store conditional imitation learning based AI that runs on CARLA.


Dense Contrastive Learning (DenseCL) for self-supervised representation learning, CVPR 2021 Oral.


Yet another repository for developing and benchmarking deep learning-based change detection methods.


Code release for NeuS


An official implementation of "Learning Memory-guided Normality for Anomaly Detection" (CVPR 2020) in PyTorch.


Tools to download and cleanup Common Crawl data


An implementation of Microsoft's "FastSpeech 2: Fast and High-Quality End-to-End Text to Speech"


Systemic is a C library for modeling exoplanetary radial velocities, with an R binding and a full GUI IDE.


GPT2 for Chinese chitchat/用于中文闲聊的GPT2模型(实现了DialoGPT的MMI思想)


100+ Chinese Word Vectors 上百种预训练中文词向量


FOTS Pytorch Implementation


Public domain software for processing and analyzing scientific images


A fast, robust Python library to check for offensive language in strings.


StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation


Master Thesis "ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural Network"


SEACR: Sparse Enrichment Analysis for CUT&RUN


markov clustering in python


Godot Engine – Multi-platform 2D and 3D game engine


Karras et al. (2022) diffusion models for PyTorch


DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image


Simple Online Realtime Tracking with a Deep Association Metric


Identifying viruses from metagenomic data by deep learning


[CVPR2020] Adversarial Latent Autoencoders


Dense Prediction Transformers


Code release for DS-NeRF (Depth-supervised Neural Radiance Fields)


Using optical flow & machine learning to predict PV yield


The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""


Unsupervised Language Modeling at scale for robust sentiment classification


Python MIDI library


Bioinformatics data analysis and visualization toolkit


RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.


Largest multi-label image database; ResNet-101 model; 80.73% top-1 acc on ImageNet


Python tools for mean-field Hubbard models


Official implementation of Adabins: Depth Estimation using adaptive bins


[ICLR'23 Spotlight] MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction


Interactive Cytometry Data Analysis


pytorch implementation of openpose including Hand and Body Pose Estimation.


RepeatMasker is a program that screens DNA sequences for interspersed repeats and low complexity DNA sequences.


Official release of the ProGen models


SGPT: GPT Sentence Embeddings for Semantic Search


A Collection of Variational Autoencoders (VAE) in PyTorch.


MCScanX: Multiple Collinearity Scan toolkit X version. The most popular synteny analysis tool in the world!


Estimating Effective Migration Surfaces


Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version


Recognizing cropped text in natural images.


The official AtmoSwing repository


⚡♠ Assemble bacterial isolate genomes from Illumina paired-end reads


FFT cross-correlation based synteny aligner, (re)designed to make full use of parallel computing


This repository contains the code for "Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference"


Repository for the paper "Learning to Reconstruct 3D Human Pose and Shape via Model-fitting in the Loop"


[EMNLP 2019 Workshop] Exploiting BERT for End-to-End Aspect-based Sentiment Analysis


My implementation of Few-Shot Adversarial Learning of Realistic Neural Talking Head Models (Egor Zakharov et al.).


:orange_book: 中华新华字典数据库。包括歇后语，成语，词语，汉字。


Cell types enrichment analysis


Pretty heatmaps


Protocol specification, white paper, high level documents, etc.


Learning Image-adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-time


Links to Russian corpora + Python functions for loading and parsing


Detecting Text in Natural Image with Connectionist Text Proposal Network (ECCV'16)


[ICCV 2021] Our work presents a novel neural rendering approach that can efficiently reconstruct geometric and neural radiance fields for view synthesis.


DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism (SVS & TTS); AAAI 2022; Official code


RAnsac Assisted Spectral CALibration


MIT Language Modeling Toolkit


MelGAN vocoder (compatible with NVIDIA/tacotron2)


LEGACY - Graphical interface for spike sorting manual stage in Python


Reproduce AlignedReID: Surpassing Human-Level Performance in Person Re-Identification, using Pytorch.


Interactive analysis of metagenomics data


BtleJuice Bluetooth Smart (LE) Man-in-the-Middle framework


Usagi is an application to help create mappings between coding systems and the Vocabulary standard concepts.


QGIS toolkit  for pre- and post-processing , visualizing , and running simulations  in the Weather Research and Forecasting (WRF) model


SECOND for KITTI/NuScenes object detection


Single/multi view image(s) to voxel reconstruction using a recurrent neural network


Python bindings around Google Chromium's embedded compact language detection library (CLD2)


Home of the Language Ecosystem for Modeling Microservice Architecture (LEMMA)


A library of JavaScript components to represent biological data


GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training


Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐


Pre-trained ELMo Representations for Many Languages


nGraph-HE: Deep learning with Homomorphic Encryption (HE) through Intel nGraph


Speech Enhancement Generative Adversarial Network in TensorFlow


RFMIX - Local Ancestry and Admixture Inference Version 2


Code and example data for running Consensus Non-negative Matrix Factorization on single-cell RNA-Seq data


PARAKEET


Kandinsky 2 — multilingual text2image latent diffusion model


Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained


Torrent Suite


[CVPR 2022 Oral] Official implementation of DN-DETR


Code for the paper "Improved Techniques for Training GANs"


An implementation of Performer, a linear attention-based transformer, in Pytorch


[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen


Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"


Efficient neural feature detector and descriptor


Official Implementation of 'Fast AutoAugment' in PyTorch.


syzkaller is an unsupervised coverage-guided kernel fuzzer


MT3: Multi-Task Multitrack Music Transcription


Pytorch implementation of HorizonNet: Learning Room Layout with 1D Representation and Pano Stretch Data Augmentation.


Lightweight nudity detection


Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering


Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"


A latent text-to-image diffusion model


Securify v2.0


A bestiary of evolutionary, swarm and other metaphor-based algorithms


A deep learning python package for neuroimaging data. Made by:


Redbean: A fuzzy Bruijn graph approach to long noisy reads assembly


Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning


PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"


General Relativistic Atomic Structure Package


GMD problem formulation for PowerModels.jl


Request for comments on interchangeable bioinformatics containers


SQL command line interpreter for astronomical surveys


:microbe: A comprehensive R package for deep mining microbiome


Resources and tools for Indian language Natural Language Processing


A simplified implemention of Faster R-CNN that replicate performance from origin paper


Code for reproducing the results of our "In Defense of the Triplet Loss for Person Re-Identification" paper.


Open Network Operating System


State-of-the-art deep learning based audio codec supporting both mono 24 kHz audio and stereo 48 kHz audio.


Profiling tool for Mycobacterium tuberculosis to detect ressistance and strain type from WGS data


Python Multi-Agent Reinforcement Learning framework


[MICCAI 2019] [MEDIA 2020] Models Genesis


An R package implementing the UMAP dimensionality reduction method.


HyPhy standalone analyses


Privacy Testing for Deep Learning


higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.


Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.


Genetic multiplexing of barcoded single cell RNA-seq


[CVPR 2020] Interpreting the Latent Space of GANs for Semantic Face Editing


File system and storage benchmark that uses a custom language to generate a large variety of workloads.


A python package to analyze and compare voices with deep learning


:eye: Python library to plot DNA sequence features (e.g. from Genbank files)


Toolbox for comparative genomics of MAGs


ATP Tennis Rankings, Results, and Stats


An Open Platform for National Electricity Market Data


Gene cluster comparison figure generator


Library for collision detection between two convex shapes


TensorFlow2 Reinforcement Learning


Quality control, filtering, feature labeling, and other tools for working with data from photovoltaic energy systems.


Extract and Visualize the Results of Multivariate Data Analyses


Creative Commons Attribution Share Alike 4.0 International

STREUSLE: a corpus with comprehensive lexical semantic annotation (multiword expressions, supersenses)


Dense Retrieval and Retrieval-augmented LLMs


Pytorch implementation of RetinaNet object detection.


LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath


Deep learning software for colorizing black and white images with a few clicks.


Django-based clone of Amazon's Mechanical Turk service running in your local environment.


The POX network software platform


Geometric loss functions between point clouds, images and volumes


A quality control analysis tool for high throughput sequencing data


Atomistic Line Graph Neural Network


Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models


A framework for Bayesian mixing models in R:


WASP: allele-specific pipeline for unbiased read mapping and molecular QTL discovery


Python tools for the Regional Ocean Modeling System (ROMS)


Analysis ready CMIP6 data in python the easy way with pangeo tools.


NVBIO is a library of reusable components designed to accelerate bioinformatics applications using CUDA.


Pytorch library for fast transformer implementations


Genetic Programming in Python, with a scikit-learn inspired API


An open-source toolbox for the evaluation of thermal response factors (g-functions) of geothermal borehole fields.


a Bioinformatics Application for Navigating De novo Assembly Graphs Easily


Platypus Variant Caller


A highly scalable, user-interactive tool for the large scale analysis of Biosynthetic Gene Clusters data


Open Data su consegna e somministrazione dei vaccini anti COVID-19 in Italia - Commissario straordinario per l'emergenza Covid-19


Reference implementation of code generation projects from Facebook AI Research. General toolkit to apply machine learning to code, from dataset creation to model training and evaluation. Comes with pretrained models.


Deep learning toolbox based on PyTorch for hyperspectral data classification.


HOTA (and other) evaluation metrics for Multi-Object Tracking (MOT).


Code & Models for Temporal Segment Networks (TSN) in ECCV 2016


State-of-the-Art Conversational AI with Transfer Learning


Model explainability that works seamlessly with  transformers. Explain your transformers model in just 2 lines of code.


A pure-python fully automated and unattended fuzzing framework.


[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.


GraftM - Rapid community profiles from metagenomes


hybrid assembly pipeline for bacterial genomes


Python library for analysis of neuroanatomical data.


A machine learning tool for fishing entities


Global Biotic Interactions provides access to existing species interaction datasets


Python halo mass function calculator


OpenFlow 1.3 switch.


DELLY2: Structural variant discovery by integrated paired-end and split-read analysis


A (mostly) universal methylation extractor for BS-seq experiments.


The project is an official implement of our ECCV2018 paper  "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"


Workflows for Fission: Fast, reliable and lightweight function composition for serverless functions


Tools for detecting wildlife in aerial images using active learning


Open-source platform for model predictive control (MPC) in buildings.


A tool to retrieve malware directly from the source for security researchers.


Data-driven COVID-19 forecasts and detection of unreported cases


Transpile trained scikit-learn estimators to C, Java, JavaScript and others.


machine learning with logical rules in Python


[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.


EVNotify allows you to monitor your electric vehicle and let you notify when the specified preset state of charge has been achieved.


Geo Spatial Data Analytics on Spark


Online tool to extract numerical data from plot images.


Demos and tutorials around Torch7.


The Opportunistic Network Environment simulator


A simple and fast metassembler and assembly gap filler designed for long molecule based assemblies.


An open data collection and source catalog for gamma-ray astronomy


OpenVR SDK


A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch


ACCESS-OM2 global ocean - sea ice coupled model configurations.


Distributed, Versioned, Image-oriented Dataservice


A workflow to build models of the European electricity system for Calliope.


Read Assignment, Mapping, and Phylogenetic Analysis in Real Time


A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines


InVEST: models that map and value the goods and services from nature that sustain and fulfill human life.


Data and analysis for NA12878 genome on nanopore


Java utilities for Bioinformatics


Python PDF Parser (Not actively maintained). Check out pdfminer.six.


Anomaly Detection with R


Interval data structure


⚡⚡⚡Blazing fast correlation functions on the CPU.


DEPRECATED: Open-source software for robot simulation, integrated with OpenAI Gym.


Simple text to phones converter for multiple languages


Make huge neural nets fit in memory


Application for inferring subclonal composition and evolution from whole-genome sequencing data.


PASA software


TensorFlow code for the neural network presented in the paper: "code2vec: Learning Distributed Representations of Code"


The GitHub repository for the paper "Informer" accepted by AAAI 2021.


Sentinel-2 for Agriculture (Sen2Agri) is a software system processing high resolution satellite images for agricultural purposes funded by ESA (European Space Agency). Please register on the Sen2Agri webpage for Sen2Agri system updates and information.


A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario


Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement


Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and  Transformers. For access to our API, please email us at contact@unitary.ai.


a Deep Learning Framework for Text


Tools for processing and analyzing structural variants.


dataset and code for 2016 paper "Learning a Driving Simulator"


⏩ Generating speech in a single forward pass without any attention!


Python package for running hydrological models


Modular image processing pipelines with Python. Built for Astronomy.


The code to reproduce results from paper "MultiFiT: Efficient Multi-lingual Language Model Fine-tuning" https://arxiv.org/abs/1909.04761


An industrial deep learning framework for high-dimension sparse data


Perceptual Quality Estimator for speech and audio


Pure Python Java parser and tools


A fast and robust point cloud registration library


EVA Series: Visual Representation Fantasies from BAAI


A Julia library implementing SU(N) spin dynamics for modeling magnetism


Flexible I/O Tester


Workflow Engine for Kubernetes


A general-purpose encoder-decoder framework for Tensorflow


Axon adds axonal spiking to the Leabra framework for error-driven and associative learning


An open-source microcontroller system based on RISC-V


The Galacticus galaxy formation model


"Between the darkness and the dawn, a red cube rises!":  a proof assistant for cartesian cubical type theory


Software package for neuron reconstruction and visualization


TECA, theToolkit for Extreme Climate Analysis, contains a collection of climate anlysis algorithms targetted at extreme event detection and analysis.


PyAutoFit: Classy Probabilistic Programming


[UNMAINTAINED] Automated machine learning for analytics & production


Easily add significance brackets to your ggplots


Performance tests for Apache Spark


Software that can generate photos from paintings,  turn horses into zebras,  perform style transfer, and more.


Kafka-ML: connecting the data stream with ML/AI frameworks (now TensorFlow and PyTorch!)


A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch


Multi-GPU mini-framework for Theano


:zap: :aquarius: Rapid prokaryotic genome annotation


Python code for downloading PV data from PVOutput.org


A python tool for evaluating the quality of sentence embeddings.


A Nextflow pipeline for running the ARTIC network's fieldbioinformatics tools (https://github.com/artic-network/fieldbioinformatics), with a focus on ncov2019


NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.


Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.


Torch implementation of neural style algorithm


Python utilities for Cytoscape and Cytoscape.js


Microlensing Modelling package


A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training


High-Performance Symbolic Regression in Python and Julia


VexCL is a C++ vector expression template library for OpenCL/CUDA/OpenMP


Implementation of Denoising Diffusion Probabilistic Model in Pytorch


MTCNN face detection implementation for TensorFlow, as a PIP package.


StarDist - Object Detection with Star-convex Shapes


Half Field Offense in Robocup 2D Soccer


Code for the paper "Language Models are Unsupervised Multitask Learners"


Plot structural variant signals from many BAMs and CRAMs


Tools for air quality data analysis


Jenetics - Genetic Algorithm, Genetic Programming, Grammatical Evolution, Evolutionary Algorithm, and Multi-objective Optimization


Viral genomics analysis pipelines


CamOdoCal: Automatic Intrinsic and Extrinsic Calibration of a Rig with Multiple Generic Cameras and Odometry


A lightweight 3D Morphable Face Model library in modern C++


Tools for mapping stars and planets.


Train learned optimizers in Jax.


Citation Style Language schema


A tool for the spatial analysis of diversity


The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."


Upper atmosphere climatological models in Python


Scalable datastore for metrics, events, and real-time analytics


An R package for climate data bias correction and downscaling (part of the climate4R bundle)


An advanced geospatial data analysis platform


Get protein embeddings from protein sequences


Cloud engine and platform for metabolite annotation for imaging mass spectrometry


Electronic structure Python package for post analysis and large scale tight-binding DFT/NEGF calculations


This repository hosts the tracker for issues pertaining to GO annotations.


Resource-adaptive cluster scheduler for deep learning training.


Sequence to Sequence Learning with Keras


Evolutionary couplings from protein and RNA sequence alignments


SimulEval: A General Evaluation Toolkit for Simultaneous Translation


Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models


EQTransformer, a python package for earthquake signal detection and phase picking using AI.


phyloseq is a set of classes, wrappers, and tools (in R) to make it easier to import, store, and analyze phylogenetic sequencing data; and to reproducibly share that data and analysis with others. See the phyloseq front page:


bids application for processing functional MRI data, robust to scanner, acquisition and age variability.


Computes the AST difference (aka edit script) between two Spoon Java source code abstract syntax trees


R package for integrating and analyzing multiple single-cell datasets


End-to-End recipes for pre-training and fine-tuning BERT using Azure Machine Learning Service


ThinkHazard!


RNA Velocity generalized through dynamical modeling


A Julia/JuMP Package for Gas Network Optimization


An open-source tool-augmented conversational language model from Fudan University


General purpose unsupervised sentence representations


Unofficial Parallel WaveGAN (+ MelGAN & Multi-band MelGAN & HiFi-GAN & StyleMelGAN) with Pytorch


A Python framework for performing information retrieval experiments, building on http://terrier.org/


lzbench is an in-memory benchmark of open-source LZ77/LZSS/LZMA compressors


Benchmarking analysis of data integration tools


distributed, likelihood-free inference


Pipeline for processing FASTQ data from an Illumina MiSeq to genotype human RNA viruses like HIV and hepatitis C


The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.


V-pipe is a pipeline designed for analysing NGS data of short viral genomes


MuZero


MACE - Fast and accurate machine learning interatomic potentials with higher order equivariant message passing.


R functions to perform and display Google Trends queries


AQT: Accurate Quantized Training


Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.


pix2tex: Using a ViT to convert images of equations into LaTeX code.


An offline deep reinforcement learning library


Athena++ radiation GRMHD code and adaptive mesh refinement (AMR) framework


Official repository for Semantic Web for Earth and Environmental Terminology (SWEET) Ontologies


ALBERT: A Lite BERT for Self-supervised Learning of Language Representations


Text-Prompted Generative Audio Model


A Planetary Intensity Code for Atmospheric Spectroscopy Observations


A pytorch adversarial library for attack and defense methods on images and graphs


Data formats for gamma-ray astronomy


A massively spiffy yet delicately unobtrusive compression library.


Binary analysis in HOL


Python implementation of the TT-Toolbox


This is the top-level project for the PULP Platform. It instantiates a PULP open-source system with a PULP SoC (microcontroller) domain accelerated by a PULP cluster with 8 cores.


A social networking service scraper in Python


common in-memory tensor structure


a toolkit for working with Oxford nanopore data


Easily compute clip embeddings and build a clip retrieval system with them


View model summaries in PyTorch!


A Python interface to map GRIB files to the NetCDF Common Data Model following the CF Convention using ecCodes


Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.


GPU-based Onion Hash generator


Nanopore sequence read simulator


Python interface to access reference genome features (such as genes, transcripts, and exons) from Ensembl


Darwin Core standard for sharing of information about biological diversity.


Using Low-rank adaptation to quickly fine-tune diffusion models.


A C++ Background Subtraction Library with wrappers for Python, MATLAB, Java and GUI on QT


ANTARES Visualizations


Open-source foundation of the user-sponsored PyMOL molecular visualization system.


Algorithms for explaining machine learning models


SO Likelihoods and Theories


MATLAB / Octave tools for BIDS datasets


Geometry Processing Library for Python


DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.


SmartSim Infrastructure Library.


Generic event data model for HEP collider experiments


A flexible framework for solving PDEs with modern spectral methods.


Python package for graph neural networks in chemistry and biology


LAVIS - A One-stop Library for Language-Vision Intelligence


Neural machine translation and sequence learning using TensorFlow


AddressSanitizer, ThreadSanitizer, MemorySanitizer


Simulation framework


A Python package for working with electrochemical impedance data


This repository contains the source code for the paper First Order Motion Model for Image Animation


Collaborative editing in any app


Open source process design kit for usage with SkyWater Technology Foundry's 130nm node.


Diem’s mission is to build a trusted and innovative financial network that empowers people and businesses around the world.


Jsmn is a world fastest JSON parser/tokenizer. This is the official repo replacing the old one at Bitbucket


Python library for quantum circuit rewriting and optimisation using the ZX-calculus


XTREME is a benchmark for the evaluation of the cross-lingual generalization ability of pre-trained multilingual models that covers 40 typologically diverse languages and includes nine tasks.


Reverse Mode Automatic Differentiation for Julia


TODS: An Automated Time-series Outlier Detection System


The main Embench repository


The first open-source AI-driven tool for automatically generating system-level test cases (also known as fuzzing) for web/enterprise applications. Currently targeting whitebox and blackbox testing of Web APIs, like REST, GraphQL and RPC (e.g., gRPC and Thrift).


This is the repository for Python, the radiative transfer code used to winds in AGN and other syatems


[LLVM Static Slicer] Various program analyses, construction of dependence graphs and program slicing of LLVM bitcode.


ModBus Measurement Daemon - simple reading of data from ModBus meters and grid inverters


Implementations of recent research prototypes/demonstrations using MONAI.


Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.


Lightweight, modular, and extensible library for functional programming.


A framework for data augmentation for 2D and 3D image classification and segmentation


Internet of Blockchains ⚛


Data Reduction for Astronomy from Gemini Observatory North and South


Tree based hydrologic and hydraulic routing


Main development repository for TinyOS (an OS for embedded, wireless devices).


Graph+Semantics: Import/Export RDF from Neo4j. SHACL Validation, Model mapping and more.... If you like it, please ★ ⇧


Matlab toolbox for Geometry Processing.


PyTorch Extension Library of Optimized Scatter Operations


HTTP load generator, ApacheBench (ab) replacement


OpenTreeMap is a collaborative platform for crowdsourced tree inventory, ecosystem services calculations, urban forestry analysis, and community engagement.


Typed interactions with the GitHub API v3


Guided Policy Search


Fast parallel CTC.


Development repository for the CICE sea-ice model


Climate Model Output Rewriter


All the code for Bike Index, because we love you


Advanced Normalization Tools in Python


draw.io is a JavaScript, client-side editor for general diagramming.


A dataset of datasets for learning to learn from few examples


Multi-vector Simulation Tool assessing and optimizing Local Energy Systems (LES) for the E-LAND project


fast python port of arc90's readability tool, updated to match latest readability.js!


Graph-based alignment (Hierarchical Graph FM index)


Thermal Engineering Systems in Python (TESPy). This package provides a powerful simulation toolkit for thermal engineering plants such as power plants, district heating systems or heat pumps.


Prevents you from committing secrets and credentials into git repositories


SAI: a fork of Leela Zero with variable komi.


An easy-to-use federated learning platform


DALL·E Mini - Generate images from a text prompt


Real-Time Rendering Framework


JA3 is a standard for creating SSL client fingerprints in an easy to produce and shareable way.


Ultrafast Sample Placement on Existing Trees


A python module that wraps the pdftoppm utility to convert PDF to PIL Image object


Software in C and data files for the popular GloVe model for distributed word representations, a.k.a. word vectors or embeddings


Accelerating ggplot2


Aloception is a set of package for computer vision: aloscene, alodataset, alonet.


Workbench for biodiversity informatics.


The generic genome-scale metabolic model of Homo sapiens


Ecosystem Demography Model


Enabling interoperability and scalability in ocean sonar data analysis


PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.


Generalized Random Forests


Technical Analysis Library using Pandas and Numpy


MODFLOW 6 Repository


A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference.


Noto Emoji fonts


GCAM -- The Global Change Analysis Model


A python library for decision tree visualization and model interpretation.


A PyTorch Library for Meta-learning Research


Plumb a PDF for detailed information about each char, rectangle, line, et cetera — and easily extract text and tables.


A structural variation pipeline for short-read sequencing


Time Series Benchmark Suite, a tool for comparing and evaluating databases for time series data


A Python library for learning and evaluating knowledge graph embeddings


Software platform for clinical neuroimaging studies


Working draft of the proposed RISC-V Bitmanipulation extension


Semiempirical Extended Tight-Binding Program Package


PostgreSQL extension adding HyperLogLog data structures as a native data type


Semantics of C in K


Location for summaries and analysis of data related to n-CoV 2019, first reported in Wuhan, China


ARCH models in Python


Real-time power system simulator including powerflow, (dynamic) phasors and EMT


CPU and GPU-accelerated Machine Learning Library


Open workflow definitions for genomic analysis from MGI at WUSM.


Open source 5G UE and RAN (gNodeB) implementation.


Modular Multiobjective (Hyper) Neuro-Evolution of Augmenting Topologies + MAP-Elites: Java code for evolving intelligent agents in Ms. Pac-Man, Tetris, and more, as well as code for Procedural Content Generation in Mario, Zelda, Minecraft, and more!


YOLO series of PaddlePaddle implementation, PP-YOLOE+, RT-DETR, YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLOX, YOLOv5u, YOLOv7u, YOLOv6Lite, RTMDet and so on.


a generalist algorithm for cellular segmentation with human-in-the-loop capabilities


Orbit-fitting for directly imaged objects


Open source framework for ocean trajectory modelling


Deep Learning Library for Single Cell Analysis


Optimization of flexibility options and grid expansion for distribution grids based on PyPSA


Fast Python Collaborative Filtering for Implicit Feedback Datasets


Research using Cirq!


Methylation (Bisulfite-Sequencing) analysis pipeline using Bismark or bwa-meth + MethylDackel


The integrated assessment and energy systems model MESSAGEix


starfish: unified pipelines for image-based transcriptomics


Non-Intrusive Load Monitoring Toolkit (nilmtk)


Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models


COMPAS rapid binary population synthesis code


This is the GitHub repository for STELLOPT, the state-of-the-art stellarator optimization code.


A proof-of-concept tool for generating payloads that exploit unsafe Java object deserialization.


Professional interface of the Energy Transition model.


Succinct Data Structure Library 2.0


Setup, customize, and control FarmBot from any device


eBPF/XDP-based software framework for fast network services running in the Linux kernel.


Perform data science on data that remains in someone else's server


Learning to Rank in TensorFlow


A collection of infrastructure and tools for research in neural network interpretability.


Tools and service for differentially private processing of tabular and relational data


Modelica library allowing simultaneous transient simulation of thermal and electrical systems at both building and feeder level.


Python library for generating high-performance implementations of stencil kernels for weather and climate modeling from a domain-specific language (DSL).


DMTCP: Distributed MultiThreaded CheckPointing


Face recognition using Tensorflow


A QT application, a OGC web map server, a collaboration server to plan atmospheric research flights.


⛔ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.


OWL API main repository


Facebook AI Research's Automatic Speech Recognition Toolkit


Scriptable database and system performance benchmark


Specification for streaming massive heterogeneous 3D geospatial datasets :earth_americas:


A simple probabilistic programming language.


DCC/UC3 collaboration for a data management planning tool


Reference mapping for single-cell genomics


Code for internal lab sharing - polishing has started but is by no means complete


Umbrella repository for projects related to the MWT Decision Service


Leveraging BERT and c-TF-IDF to create easily interpretable topics.


Deep Reinforcement Learning for Keras.


Advanced Multilanguage Interface to CVODES and IDAS


XML Canonical resources for Greek Literature


pure-Python HistFactory implementation with tensors and autodiff


Content in this repository is not maintained and is actively being migrated to other repos.


A toolkit for conducting machine learning tasks with time series data


P4 language tutorials


Numerical Black-Box Optimization Benchmarking Framework


InaSAFE - QGIS plugin for estimating impact from natural disasters


Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.


Julia package for function approximation


Time series forecasting with PyTorch


RESTler is the first stateful REST API fuzzing tool for automatically testing cloud services through their REST APIs and finding security and reliability bugs in these services.


The Public Utility Data Liberation Project provides analysis-ready energy system data to climate advocates, researchers, policymakers, and journalists.


FinRL-Meta: Dynamic datasets and market environments for FinRL.


ClimaAtmos.jl is a library for building atmospheric circulation models that is designed from the outset to leverage data assimilation and machine learning tools. We welcome contributions!


StellarGraph - Machine Learning on Graphs


Massively Parallel Deep Reinforcement Learning.


Open Source Smart Meter with focus on privacy - you remain the master of your data.


Lattice algorithms using floating-point arithmetic


A framework for quantum computing


Bitcoin Improvement Proposals


Train Ticket - A Benchmark Microservice System


The Sherbrooke Connectivity Imaging Lab (SCIL) Python dMRI processing toolbox


Antares-Simulator is an Open Source power system simulator to quantify the adequacy or the economic performance of interconnected energy systems, at short or remote time horizons.


AdAway is a free and open source ad blocker for Android.


A suite of tools for managing crowdsourcing tasks from the inception through to data packaging for research use.


A multilingual dialog corpus


OpenMMLab 3D Human Parametric Model Toolbox and Benchmark


An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.


Library of derived climate variables, ie climate indicators, based on xarray.


OpenMMLab Rotated Object Detection Toolbox and Benchmark


Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow


sslscan tests SSL/TLS enabled services to discover supported cipher suites


SonicBOOM: The Berkeley Out-of-Order Machine


Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.


The curation repository for the data behind Concepticon.


JupyterLab computational environment.


Quilt is a data mesh for connecting people with actionable data


The Genie open source kit for voice assistant (formerly known as Almond)


Cross-platform, customizable ML solutions for live and streaming media.


FlowDroid Static Data Flow Tracker


Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants


Transportation Fuels Reporting System


The Tripal package is  a suite of Drupal modules for creating biological (genomic, genetic, breeding) websites. Visit the Tripal homepage at http://tripal.info for documentation, support, and other information.  The Drupal project page is at http://drupal.org/project/tripal.


Open-source benchmark suite for cloud microservices


Pa11y is your automated accessibility testing pal


The Guardian is an innovative open-source platform that streamlines the creation, management, and verification of digital environmental assets. It leverages a customizable Policy Workflow Engine and Web3 technology to ensure transparent and fraud-proof operations, making it a key tool for transforming sustainability practices and carbon markets.


Annotated data.


Fast Go Application Scanner


Pipeline elements for 3x2pt analysis (shear-shear, shear-density, density-density) for DC2


Astrophysical Multipurpose Software Environment. This is the main repository  for AMUSE


A web privacy measurement framework


A Python toolbox for performing gradient-free optimization


nanoflann: a C++11 header-only library for Nearest Neighbor (NN) search with KD-trees


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


RStan, the R interface to Stan


Scalable Multi-Agent RL Training School for Autonomous Driving


Data mining for materials science


TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning


Graph-structured Indices for Scalable, Fast, Fresh and Filtered Approximate Nearest Neighbor Search


Library for fast text representation and classification.


The VerCors verification toolset for verifying parallel and concurrent software


Open source SDR 4G software suite from Software Radio Systems (SRS) https://docs.srsran.com/projects/4g


Strawberry Fields is a full-stack Python library for designing, simulating, and optimizing continuous variable (CV) quantum optical circuits.


A CoAP (RFC 7252) implementation in C


U.S. National Reporting Platform for the Sustainable Development Goals


Migrate C code to Rust


Working draft of the proposed RISC-V V vector extension


Nix Packages collection & NixOS


Highly granular modeling of residential building stocks at national, regional, and local scales using OpenStudio/EnergyPlus.


A centralized location for storing curated data ready for inclusion in cBioPortal.


Barebone MQTT broker that can run on any stream server, the node way


MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.


A deep learning framework for molecular docking


A blockchain benchmark framework to measure performance of multiple blockchain solutions https://wiki.hyperledger.org/display/caliper


Flang is a Fortran language front-end designed for integration with LLVM.


fast, simple packet creation / parsing, with definitions for the basic TCP/IP protocols


Python (3.8+) version of CLIMADA


Analysis pipeline to detect germline or somatic variants (pre-processing, variant calling and annotation) from WGS / targeted sequencing


An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.


Keras community contributions


A toolbox for zkSNARKs on Ethereum


A Linux-capable RISC-V multicore for and by the world


Metasploit Framework


State-of-the-art 2D and 3D Face Analysis Project


Analyzes resource usage and performance characteristics of running containers.


HCC is an Open Source, Optimizing C++ Compiler for Heterogeneous Compute currently for the ROCm GPU Computing Platform


HighFive - Header-only C++ HDF5 interface


ACL2 System and Books as Maintained by the Community


The "Yellow Paper": Ethereum's formal specification


OpenStudio is a cross-platform collection of software tools to support whole building energy modeling using EnergyPlus and advanced daylight analysis using Radiance.


pefile is a Python module to read and work with PE (Portable Executable) files


Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.


Traffic scenario definition and execution engine


tensorboard for pytorch (and chainer, mxnet, numpy, ...)


Computational framework for reinforcement learning in traffic control


GFDL's Flexible Modeling System


Trax — Deep Learning with Clear Code and Speed


The official Python library for the OpenAI API


Experiment-independent toolkit for (charged) particle track reconstruction in (high energy) physics experiments implemented in modern C++


Python Imaging Library (Fork)


Python tools for querying and manipulating BIDS datasets.


Sequential model-based optimization with a  `scipy.optimize` interface


Turi Create simplifies the development of custom machine learning models.


PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）


An analysis and visualization platform for 'omics data


gpt4all: open-source LLM chatbots that you can run anywhere


Canonical sources for HOL4 theorem-proving system.   Branch develop is where “mainline development” occurs; when develop passes our regression tests, master is merged forward to catch up.


MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.


Open data project for small-scale food growers


OpenQuake's Engine for Seismic Hazard and Risk Analysis


Benchmarks of approximate nearest neighbor libraries in Python


A community white paper about LSST observing strategy, with quantifications via the the Metric Analysis Framework.


GNU Radio – the Free and Open Software Radio Ecosystem


OCI Image Format


A model generator for energy system modelling and optimisation (LP/MILP).


NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing


Web app for visualizing pathogen evolution


DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.


Taxonomies used in MISP taxonomy system and can be used by other information sharing tool.


header only, dependency-free deep learning framework in C++14


Development version of plumed 2


YOLOv6: a single-stage object detection framework dedicated to industrial applications.


Universal neural differential equations with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods


Guice (pronounced 'juice') is a lightweight dependency injection framework for Java 8 and above, brought to you by Google.


An open source python library for automated feature engineering


Proposed compiler and language changes for GHC and GHC/Haskell


hydra


Open5GS is a C-language Open Source implementation for 5G Core and EPC, i.e. the core network of LTE/NR network (Release-17)


Official git repository of Elmer FEM software


Python package to access a cacophony of neuro-imaging file formats


Intel SGX for Linux*


The most popular spellchecking library.


NLP made easy


swagger-codegen contains a template-driven engine to generate documentation, API clients and server stubs in different languages by parsing your OpenAPI / Swagger definition.


Main repository for QMCPACK, an open-source production level many-body ab initio Quantum Monte Carlo code for computing the electronic structure of atoms, molecules, and solids with full performance portable GPU support


Dafny is a verification-aware programming language


WarpX is an advanced, time-based electromagnetic & electrostatic Particle-In-Cell code.


Fast C++ logging library.


Parsl - a Python parallel scripting library


Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.


COLMAP - Structure-from-Motion and Multi-View Stereo


⚡ Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Platforms⚡


Fire Dynamics Simulator


Microsoft Quantum Development Kit Samples


MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases


Synthetic Patient Population Simulator


Tidy Messy Data


OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation


A data standard to enable right-of-way regulation and two-way communication between mobility companies and local governments.


Contiki-NG: The OS for Next Generation IoT Devices


Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.


Iroha - A simple, enterprise-grade decentralized ledger


Lightning Network Daemon ⚡


Interactive Data Visualization in the browser, from  Python


A set of documented functions for simulating the performance of photovoltaic energy systems.


The CORE-V CVA6 is an Application class 6-stage RISC-V CPU capable of booting Linux


Context Broker and CEF building block for context data management, providing NGSI interfaces.


YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )


ApsimX is the next generation of APSIM


Dockerfile linter, validate inline bash, written in Haskell


R toolkit for single cell genomics


Nextstrain build for novel coronavirus SARS-CoV-2


BOLT: Basis of Lightning Technology (Lightning Network Specifications)


Sample cloud-first application with 10 microservices showcasing Kubernetes, Istio, and gRPC.


historical code from reddit.com


Optional static typing for Python


WiredTiger's source tree


OpenMMLab's next-generation platform for general 3D object detection.


Logistics & marketplace platform. Only for worker-owned business.


Lean 4 programming language and theorem prover


MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba


RFCs for changes to Rust


Scala based HDL


Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.


democratize access to car decoder rings


ROS Navigation stack.  Code for finding where the robot is and how it can get somewhere else.


OpenSSF Scorecard - Security health metrics for Open Source


Open Energy Dashboard (OED)


Display and control your Android device


LAPACK development repository


Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.


A type-safe HTTP client for Android and the JVM


Dear ImGui: Bloat-free Graphical User interface for C++ with minimal dependencies


The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)


A framework for implementing federated learning


A toolkit for orchestrating distributed systems at any scale. It includes primitives for node discovery, raft-based consensus, task scheduling and more.


CTFs as you need them


The wolfSSL library is a small, fast, portable implementation of TLS/SSL for embedded devices to the cloud.  wolfSSL supports up to TLS 1.3!


The Ethereum Improvement Proposal repository


A Unified Library for Parameter-Efficient and Modular Transfer Learning


Solidity, the Smart Contract Programming Language


WebAssembly Micro Runtime (WAMR)


Topic Modelling for Humans


TiDB is an open-source, cloud-native, distributed, MySQL-Compatible database for elastic scale and real-time analytics. Try AI-powered Chat2Query free at : https://tidbcloud.com/free-trial


SDK for developing enclaves


Magenta: Music and Art Generation with Machine Intelligence


C Bounded Model Checker


Pytorch domain library for recommendation systems


SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime


Linux system exploration and troubleshooting tool with first class support for containers


URL testing lists intended for discovering website censorship


A set of command line tools (in Java) for manipulating high-throughput sequencing (HTS) data and formats such as SAM/BAM/CRAM and VCF.


GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.


Core package to analyze gravitational-wave data, find signals, and study their parameters. This package was used in the first direct detection of gravitational waves (GW150914), and is used in the ongoing analysis of LIGO/Virgo data.


:microscope::books: Galaxy Tool wrappers


The official sources for the RDKit library


ResearchKit is an open source software framework that makes it easy to create apps for medical research or for other research projects.


Fast and Simple Serverless Functions for Kubernetes


Official repository for WebPageTest


unofficial git repo -- report bugs/issues/pull requests on https://gitlab.torproject.org/ --


Modular data acquisition framework


Cross-platform lib for process and system monitoring in Python


An Open Source Machine Learning Framework for Everyone


Accelerate LLM with low-bit (FP4 / INT4 / FP8 / INT8) optimizations using bigdl-llm


A JavaScript / TypeScript / Python / C# / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges


The official GitHub mirror of the Chromium source


The NEST simulator


Collection of library stubs for Python, with static types


Kratos Multiphysics (A.K.A Kratos) is a framework for building parallel multi-disciplinary simulation software. Modularity, extensibility and HPC are the main objectives. Kratos has BSD license and is written in C++ with extensive Python interface.


This is the repo for Vue 2. For Vue 3, go to https://github.com/vuejs/core


HIP: C++ Heterogeneous-Compute Interface for Portability


OpenMMLab Semantic Segmentation Toolbox and Benchmark.


Repository for OpenCV's extra modules


Eclipse Jetty® - Web Container & Clients - supports HTTP/2, HTTP/1.1, HTTP/1.0, websocket, servlets, and more


A simple, decentralized dependency manager for Cocoa


An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.


The OpenAPI Specification Repository


kaldi-asr/kaldi is the official location of the Kaldi project.


A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.


IntelliJ IDEA Community Edition & IntelliJ Platform


The fundamental package for scientific computing with Python.


Lightweight Java and Android library for integration with Ethereum clients


A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.


Aggregate results from bioinformatics analyses across many samples into a single report.


An implementation of the QUIC transport protocol.


Model-based design and verification for robotics.


The MongoDB Database


Code for "Bayesian Structure Learning with Generative Flow Networks"


Efficient baselines for autocurricula in JAX.


A chord identifier and harmonizer for MIDI files


ANDES has been transferred to the CURENT organization account. Please post questions to https://github.com/curent/andes. Maintenance and development will continue. Python toolbox / library for power system transient dynamics simulation with symbolic modeling and numerical analysis


Domain Aggregation Networks


[NeurIPS 2023] Meta-Adapter


[ECIR 2024] Official repository for the paper titled "Self Contrastive Learning for Session-based Recommendation"


Neural Large Neighborhood Search for the Capacitated Vehicle Routing Problem


A GPU accelerated branch of presto, open source pulsar search and analysis toolkit. http://www.cv.nrao.edu/~sransom/presto/


Source Code for Paper "DAGAD: Data Augmentation for Graph Anomaly Detection" ICDM 2022


Biomedical Data-to-Text Generation via Fine-Tuning Transformers


This is a repository of the study performed under the Adversarial Paraphrasing Task (APT).


Robust Point Matching via Vector Field Consensus / Regularized Vector Field Learning with Sparse Approximation for Mismatch Removal


Code to reproduce the experiments in The Mirage of Action-Dependent Baselines in Reinforcement Learning.


Optimization with JDTLoss and Evaluation with Fine-grained mIoUs for Semantic Segmentation


Watermarking against model extraction attacks in MLaaS. ACM MM 2021.


The code of paper ConE: Cone Embeddings for Multi-Hop Reasoning over Knowledge Graphs. Zhanqiu Zhang, Jie Wang, Jiajun Chen, Shuiwang Ji, Feng Wu. NeurIPS 2021.


The repository for the official Biased Action Recognition (BAR) dataset for the paper Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020) by Junhyun Nam et al.


Curated List of papers on Time Series Analysis


Experiments with speech enhancement


Bayesian inference for learning Tree Substitution Grammars


Code for the paper "Autoregressive Perturbations for Data Poisoning" (NeurIPS 2022)


scRNAseq analysis notes from Ming Tang


The official implementation of  'Weakly Supervised Temporal Action Localization via Representative Snippet Knowledge Propagation' (CVPR 2022)


Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks


Code for "Temporal Difference Learning for Model Predictive Control"


Source code for figure generation and analysis of the ENGAGE netzero scenario analysis


Manipulating the inner representations of StyleGAN2


Specificity-preserving RGB-D Saliency Detection


ICLR 2021, Fair Mixup: Fairness via Interpolation


Tables of ECS, Effective Radiative Forcing, and Radiative Feedbacks from Zelinka et al., GRL (2020).


Analyzing knowledge graph embedding methods, including TransE, DistMult, CP, SimplE, ComplEx, Quaternion


A Feature-based Vietnamese Named-Entity Recognition Model


RL STaR is a platform for creating AI for robotic applications. Researchers can share their work in the form of new robots or new tasks. Everything was made in a modular fashion to be easy to use and easy to share.


code for NeurIPS_competition


ONT assembly and Illumina polishing pipeline


Implementation for mSAC methods in PyTorch


PyTorch Implementation for "Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space (KDD2021)"


Collection of diverse recommendation papers


Infer Community Assembly Mechanisms by Phylogenetic bin-based null model analysis (Version 1)


Library for generating images by sampling a GMM conditioned on label maps


Kilonova models associated to papers using POSSIS


This project aims to provide modular implementation and an easy pipeline of training and evaluation for SOTA semantic segmentation models.


Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020


Parameter-Free Optimizers for Pytorch


Progressive Transfer Learning for Person Re-identification published on IJCAI-2019


Pipeline for annotating genomes using long read transcriptomics data with pinfish


Implementation for NATv2.


[ICML 2022] Official implementation of "Score-Guided Intermediate Layer Optimization: Fast Langevin Mixing for Inverse Problems".


Concatenates FASTA formatted files to one "phyml" (PHYLIP) formatted file


Multi-fidelity Gaussian Process Bandit Optimisation


Smart RFI removal algorithms to be used on folded pulsar search and timing data


Uncertainty Quantification


Repository for research works and resources related to model reprogramming <https://arxiv.org/abs/2202.10629>


The Dakshina dataset is a collection of text in both Latin and native scripts for 12 South Asian languages. For each language, the dataset includes a large collection of native script Wikipedia text, a romanization lexicon of words in the native script with attested romanizations, and some full sentence parallel data in both a native script of the language and the basic Latin alphabet.


About MindSpore implementations of various Deep NLP models in cs-224n(Stanford Univ)


Artificial Bee Colony algorithm for Python


A collection of scripts for analyzing the data from the Gaia satellite


A set of scripts for calculating pairwise SNP distance


Source code for <Sequence-Level Training for Non-Autoregressive Neural Machine Translation>.


A simple codebase for image-based person re-id


ESC: Redesigning WSD with Extractive Sense Comprehension


Code for "Restricted Boltzmann Machine Flows and The Critical Temperature of Ising models"


List of software packages for multi-trait / multiple-trait / multivariate / high-dimensional GWAS


XLNet: Generalized Autoregressive Pretraining for Language Understanding


Volumetric path tracer written in C++


QuickerADC is an implementation of highly-efficient product quantizers leveraging SIMD shuffle instructions integrated into FAISS


Models supported: ResNet, ResNetV2, SE-ResNet, ResNeXt, SE-ResNeXt [layers: 18, 34, 50, 101, 152] (1D and 2D versions with DEMO for Classification and Regression).


The SentiWordNet sentiment lexicon


MATLAB codes for matrix exponential times a vector.


Paddle detection to pytorch


Dataset and Code for MIPI2022 Challenge


Label Informed Attributed Network Embedding, WSDM 2017


On the Role of Sparsity and DAG Constraints for Learning Linear DAGs


ACL 2022: Revisiting the Compositional Generalization Abilities of Neural Sequence Models


Public repository for the work on bandit problems


Derivative-Free Global Optimization Method (C++, Python binding)


Online construction of run-length BWT (RLBWT) and r-index. Plus, online LZ77 parsing based on RLBWT.


Learn Versatile Knowledge Graph Embeddings by Capturing Semantics with MASCHInE


Federated Bilevel Optimization


Continual Learning for Visual Search with Backward Consistent Feature Embedding, CVPR 2022 https://openaccess.thecvf.com/content/CVPR2022/papers/Wan_Continual_Learning_for_Visual_Search_With_Backward_Consistent_Feature_Embedding_CVPR_2022_paper.pdf


Collection of scientific publications that explore, model and predict customer churn and lifetime value (CLV)


NetVLAD: CNN architecture for weakly supervised place recognition


Likelihood-Free Frequentist Inference


Statistical inference and graphical procedures for RD designs using local polynomial and partitioning regression methods.


Efficient Active Search


R scripts for performing co-occurrence analyses


Tree House Explorer (THEx) is a novel genome browser for exploring phylogenetic and genomic data in one succinct place.


[ICML 2022] Official PyTorch implementation of the paper "Unsupervised Image Representation Learning with Deep Latent Particles"


Form images from U.S. National Archives annotated with text bounding boxes, classes, relationships, and transcription.


Matlab Code for: "Non-local Meets Global: An Integrated Paradigm for Hyperspectral Denoising. Arvix. Dec 2018"


Machine Learning for Genomics and Therapeutics Resources (Cell Patterns)


Chromatic aberration simulation and correction


I am currently a Senior Researcher at L3S Research Center, Leibniz University Hannover, Germany.


Source code for our ICML 2022 paper "Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks".


The Limited Multi-Label Projection Layer


Semantic Style Transfer and Turning Two-Bit Doodles into Fine Artworks


Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms


Immunology-related bioinformatics data and tools


The official PyTorch Implementation of "NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation (NeurIPS '22)"


Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling


Conservative Q learning in Jax


A collection of codes with OpenFWI project


scDeepCluster for Single Cell RNA-seq data


Advanced Retrieval Algorithms for Decomposing Large-Scale Candidate Set into Pieces.


Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification


Full-Glow: Fully conditional Glow for more realistic image generation


(Intended) Nationally Determined Contributions as provided in the UNFCCC registries, containing only the main document and using the English version if multiple are available.


A deep learning model to predict anticancer peptides.


How Robust are Randomized Smoothing based Defenses to Data Poisoning? (CVPR 2021)


Autoencoder-based baseline system for DCASE2021 Challenge Task 2.


Code for the paper "The Surprising Computational Power of Nondeterministic Stack RNNs" (DuSell and Chiang, 2023)


R package for estimating copula entropy (mutual information), transfer entropy (conditional mutual information), and the statistic for multivariate normality test and two-sample test


Deep Learning Research


MorphoDiTa: Morphologic Dictionary and Tagger


All code for the Piecewise Linear Neural Networks verification: A comparative study paper


Implementation of Attentive Multi Task Deep Reinforcement Learning Architecture in Tensorflow


Code of 'Guided Deep Decoder: Unsupervised Image Pair Fusion'


Interactive multivariate data analysis in R implemented in shiny.


A web application for playing 20 Questions to crowdsource common sense.


An ECG based biometric model for specialised authentication systems


[NeurIPS 2022] "Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing" by Yonggan Fu, Yang Zhang, Kaizhi Qian, Zhifan Ye, Zhongzhi Yu, Cheng-I Lai, Yingyan Lin


Reinforcement Learning based 'Learning' of Dynamic Sepsis Treatment Strategies


An empirical analysis of Earth's annual-average surface reflectivity potential


This repository contains example of keras-tcn on easy way.


Basic VAE flow using pytorch distributions


Desktop application for colouring/shading sequence alignments


Python tools for structural geology and borehole image analysis which includes data handling, frequency and geometric analysis, and reservoir geomechanics.


*UNOFFICIAL, UNMAINTAINED and OUTDATED*: This was an unofficial archive of GMAP-GSNAP releases.  Please use the original website for current versions of the source code.


A fast sparse attack on deep neural networks.


Embedder with binary sparse distributed representation.


The associated repo for paper "Data-Efficient Learning of Natural Language to Linear Temporal Logic Translators for Robot Task Specification"


Code for the papers "Modeling the Second Player in Distributionally Robust Optimization" and "Distributionally Robust Models with Parametric Likelihood Ratios"


Code associated with paper "High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization"


Official repository for the ICCV 2023 paper: "Waffling around for Performance: Visual Classification with Random Words and Broad Concepts"


HySure is an algorithm to fuse hyperspectral remote sensing images with either multispectral or panchromatic ones.


A set of instruments to design the sustainability-quality concerns at the software architecture level, and define and operationalize them


A Generalized Web Component for Domain-Independent Smart Assistants


a project for developing registration tools with convolutional neural networks


HybSeq Target Capture of 353 Protein Coding Genes in Any Angiosperm


Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019


Implementation of "Audio Retrieval with Natural Language Queries: A Benchmark Study".


The official homepage of the (outdated) COCO-Stuff 10K dataset.


RCSM(Recommended Connectivity-map Scoring Methods)


Official repository for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks" (ICLR 2022)


(NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data


Code for the NeurIPS 2019 paper: "Learning Dynamics of Attention: Human Prior for Interpretable Machine Reasoning"


A Novel Listwise Collaborative Ranking Algorithm published at ICML'18


Implementations of Deep RL Algorithms in OpenAI Gym Environments


Code for "Adversarial Over-Sensitivity and Over-Stability Strategies for Dialogue Models (CoNLL 2018)"


Design Reinforcement Learning environments that model Active Network Management (ANM) tasks in electricity distribution networks.


The code for multi-channel source separation and dereverberation such as FastMNMF1, FastMNMF2, and AR-FastMNMF2.


Code for the paper 'Deep Learning for Detecting Cyberbullying Across Multiple Social Media Platforms', ECIR'18


Collection of various scripts


Code for Multi Speaker Source Separation with neural networks, build with TensorFlow


3D Monte Carlo Radiative Transfer for exoplanet atmospheres using GPUs.


Code for paper "Poisoned classifiers are not only backdoored, they are fundamentally broken"


Implementations in both Matlab and R of the CIMLR method. The manuscript of the method is available at: https://www.nature.com/articles/s41467-018-06921-8


RF-Score-VS - Random forest based protein-ligand scoring function for Virtual Screening


Code for 'Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images'  [MICCAI 2021]


Probabilistic Programming eXecution protocol (PPX)


Matlab and Python scripts for calculating functional coupling between time series data


A curated list of scene graph generation and related area resources. :-)


Measuring COVID-19's gendered impact on academic productivity using submission data from preprint servers


DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text Rewriting


Code and model for the AI City Challenge (CVPR 2022) Track 3 Action Detection (Naturalistic Driving Action Recognition)


TSPPD Test Instance Library


AskUbuntu Question Dataset


ProFound source finding and extraction


Automatic earthquake catalog building workflow: EQTransformer + Siamese EQTransformer + PickNet + REAL + HypoInverse


Rigorous free fermion entanglement renormalization from wavelet theory


ICIP 2022: CTGAN : Cloud Transformer Generative Adversarial Network (Offical implementation)


Implementation of the Remez algorithm


序列模式挖掘相关研究


Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."


Testing Nerual Tangent Kernel (NTK) on small UCI datasets


AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries


A dataset and evaluation scheme to provide an straightforward manner to compare the performance of different non-stationary video based fire detectors.


Transformer based Turkish language models


A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations


ImageJ plugin detecting and colocalizing particles of given size (vesicles, dots, etc on biological microscopy images)


Public Code for ICS Evasion Attack Generation


Kepler Science Data Processing Pipeline


A significantly higher label quality version of the popular TACRED dataset


Python package for graph-based clustering and semi-supervised learning


MMD and Relative MMD test


Pre-trained Word2Vec models for Vietnamese


The Implementation of "Deep Recursive Network Embedding with Regular Equivalence"(KDD 2018)


This repo provides four weight pruning algorithms for use in sequence-to-point energy disaggregation as well as three alternative neural network architectures.


Generating non-stationary multi-sensor signals under a spatial coherence constraint


[MIDL 2022 Oral] Learning Morphological Feature Perturbations for Calibrated Semi Supervised Segmentation


Implementation of Schmidhuber's Upside Down Reinforcement Learning paper in PyTorch


Easily Process a Batch of Cox Models


[ICML'21] Think Global and Act Local:  Bayesian Optimisation for Categorical and Mixed Search Spaces


AWH-Geo tool and calculations for Global Potential of Harvesting Drinking Water from Air using Solar Energy


FedGroup, A Clustered Federated Learning framework based on Tensorflow


Forward and inverse problems in asteroseismology


R implementation of MULTI-seq sample classification workflow


Representation Learning in RL


Python library for Recurrent Gaussian Processes


Few-Shot Learning with Localization in Realistic Settings


Using backtracking line search as learning rate finder for Neural Nets. Pytorch repo.


[FG 2019 Oral] Attribute-Guided Sketch Generation


Pre-training BART model for the Italian Language


A data index for learning causality.


Code for paper https://arxiv.org/abs/2102.13186


Code for the paper "Putting a bug in ML: The moth olfactory network learns to read MNIST", by CB Delahunt and JN Kutz


Entropy estimator


National Electricity Market Optimiser


[T-IFS] RNN-SM: Fast Steganalysis of VoIP Streams Using Recurrent Neural Network


Python toolbox for phenotype analysis of arrayed microbial colonies


Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods


Source code for "A Globally Optimal Energy-Efficient Power Control Framework and its Efficient Implementation in Wireless Interference Networks" by Bho Matthiesen, Alessio Zappone, Karl-L. Besser, Eduard A. Jorswieck, and Merouane Debbah, accepted for publication in IEEE Transactions on Signal Processing.


An overview of all nanopack tools


DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation


Domain Adaptation of Neural Machine Translation by Lexicon Induction


context labels and pronunciation data for JSUT corpus


Code and checkpoints of compressed networks for the paper titled "HYDRA: Pruning Adversarially Robust Neural Networks" (NeurIPS 2020) (https://arxiv.org/abs/2002.10509).


Comostional question answering


Accompanying repository of our AAAI-20 paper "Fine-Grained Argument Unit Recognition and Classification."


Agroecology Map, Knowledge and Practices, is a technological platform that allows the mapping and exchange of Agroecological experiences (Agroforestry) in order to bring people in order to strengthen or/and create new, collaborative networks that enhance the sharing of real (and sometimes imaginary) experiences https://agroecologymap.org


Tensorflow2 reimplementation of image generation model (GAN, Style Transfer, Image to Image Translation, etc)


IsoScore is the first tool available in the literature that accurately measures isotropy in embedding space.


Joint Source-Target Self Attention with Locality Constraints


Empirical tricks for training robust models (ICLR 2021)


PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)


FairCVtest: Testbed for Fair Automatic Recruitment and Multimodal Bias Analysis


1-dimensional convolutional neural networks (CNN) for the classification of soil texture based on hyperspectral data


Tools to annotate genomes using long read transcriptomics data


inferring sequence-structure motifs using deep learning


This repo is a collection of AWESOME things about fake news detection, including papers, code, etc.


compact Earth system model


Data and analysis for 'Machine Bias'


icip2022 paper: sahi benchmark on visdrone and xview datasets using fcos, vfnet and tood detectors


Code Repository for "Please Mind the Root: Decoding Arborescences for Dependency Parsing" and "On Finding the K-best Non-projective Dependency Trees"


A tool for concatenating multiple fasta alignments for supermatrix phylogenetic analyses


Mapping, filtering, and data hub visualisation pipeline for DNase, ATAC, ChIP data


catalog for long-read sequencing tools


Dense hybrid representations for text retrieval


Release of CIFAR-10.1, a new test set for CIFAR-10.


This repository contains the code for our manuscript - 'The evolution, evolvability, and engineering gene regulatory DNA'


A stand-alone version of Dehnen's GalaxyPotential code.


Predicting Future Occupancy Grids in Dynamic Environment with Spatio-Temporal Learning


Rapid Profiling and Deconvolution Tool for Metagenomes


Metaphor classification for verbs and content words


bits of software for manipulating and analysing brain images in the nifti format


Desmistificando DevOps: Projetando Arquiteturas Efetivamente Escaláveis


RoBERTa models for Polish


Whitening for Self-Supervised Representation Learning | Official repository


WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects  (ICCV 2019) [Python & Matlab].


Confidence sequences and uniform boundaries


Adversarial Examples on KNN (and its neural network friends)


A deep learning framework for fault diagnositcs with PyTorch


Revisiting Transferable Adversarial Image Examples


Official code for "Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching" (ICML 2022)


Dependency Parsing as Sequence Labeling


An open source deep learning action recognition and segmentation framework


Few-Shot-Intent-Detection includes popular challenging intent detection datasets with/without OOS queries and state-of-the-art baselines and results.


Super Resolution datasets and models in Pytorch


记录GitHub热门仓库，每小时更新，按天归档。


Code for CIKM2020 "S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization"


Continuous Conditional Generative Adversarial Networks (CcGAN)


An R package to calculate carbon footprints from air travel based on IATA airport codes or latitude and longitude.


A C++ library for working with particles and grids in a parallel setting.


Use R to get data from the Environmental Protection Agency API


Machine Learning-based prediction of COVID-19 diagnosis based on symptoms


Advanced Techniques for Ecological Niche Modeling Made Easy


Public release of The Cole-Anticevic Brain-wide Network Partition (CAB-NP)


Invariant-feature Subspace Recovery (ISR)


N-Gram Graph: Simple Unsupervised Representation for Graphs, NeurIPS'19 (https://arxiv.org/abs/1806.09206)


encore: Efficient isotropic 2-, 3-, 4-, 5- and 6-point correlation functions in C++ and CUDA


Zero -- A neural machine translation system


This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified set of first and second order marginal moments of a data tensor, which makes it well equipped to test for the null hypothesis that a structure in data is an epiphenomenon of these specified set of primary features of the data tensor. The random surrogate data are sampled from a maximum entropy distribution. This distribution unlike traditional maximum entropy method have constraints on the marginal first and second moments of the tensor mode.


GloDyNE: Global Topology Preserving Dynamic Network Embedding (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/9302718


The hourly demand and supply of electricity in the US


C++ version of the SED fitting code FAST (Kriek et al. 2009); it's faster, uses less memory, and has more features.


This project is a collection of tools for bioinformatic processing of ancient DNA data at the Harvard Medical School Reich Lab.


This repository contains code for applying Data2Vec to pretrain Keyword Transformer model as described in "Improving Label-Deficient Keyword Spotting Through Self-Supervised Pretraining".


Interface to the World Database on Protected Areas


Identifying Y-chromosome haplogroups in arbitrarily large samples of sequenced or genotyped men


Hydrology and Climate Forecasting R package


A Capsule Network-based framework for identification of COVID-19 cases from chest X-ray Images


The QMOF Database: A database of quantum-mechanical properties for metal-organic frameworks.


Unified benchmark and model for causal text mining


A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.


Accessing modified-base data from BAM files.


[ISMIR 2022] Transfer Learning of wav2vec 2.0 for Automatic Lyric Transcription


SFU Opinion and Comments Corpus


Official implementation of the paper Stochastic Latent Residual Video Prediction


Natural Language Processing Tutorial for MindSpore Users


Collection of Wongnai's datasets


Fast genealogical relationship evaluation of bacterial isolates with WGS data.


Enabling easy statistical significance testing for deep neural networks.


Dorothea package in Python


IRS: A Large Synthetic Indoor Robotics Stereo Dataset for Disparity and Surface Normal Estimation


My bioinfo toolbox


This repo contains the official training and testing codes for our paper:  GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing.


Code for ML Doctor


ADAPT-VQE simulation code


Create and manipulate stellar light curves!


A WEKA package for analyzing emotion and sentiment of tweets.


Chromatin domains bursting with flavor


Quickstart for EURO Meets NeurIPS 2022 Vehicle Routing Competition


Official research projects of badminton CoachAI


A challenge to explore adversarial robustness of neural networks on MNIST.


Adds gCO2eq emissions to nvidia-smi.


Humanoid robotics prototyping environment based on OpenRAVE


This repository  host the code for real-time action detection paper


S3PRL-VC: A Voice Conversion Toolkit based on S3PRL


SwolfPy is a free, multi-platform, Python-based, open-source, SWM LCA optimization framework with built-in parametric and Monte Carlo sensitivity and uncertainty analysis capabilities.


GLObal Coastal Ocean Flood Forecasting System: An ADCIRC-based global storm tide modeling system providing real-time forecasts of coastal flooding


An alternative to convolution in neural networks


A toolbox for knowledge compilation


Drawing Bayesian networks, graphical models, tensors, technical frameworks, and illustrations in LaTeX.


Code for neural network parameterization project


The Confidential Consortium Blockchain Framework is an open-source system that enables high-scale, confidential blockchain networks that meet all key enterprise requirements—providing a means to accelerate production enterprise adoption of blockchain technology.


Modified version of CLASS to work with EDE models.


mathLab mirror of Python Dynamic Mode Decomposition


Mapping of OPENQASM programs to IBM QX satisfying the architectural constraints


Useful bioinformatic scripts


Curved-sky python lensed CMB maps simulation package


Python Distributed Non Negative Matrix Factorization with custom clustering


Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.


A computational method for inferring the cancer cell fraction of tumour structural variation from whole-genome sequencing data.


PyTorch code for FLS, FID, KID, Precision, Recall, etc. using DINOv2, InceptionV3, CLIP, etc.


Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"


NOSNOC is an open source software package for NOnSmooth Numerical Optimal Control.


Author: Wenhao Yu (wyu1@nd.edu). ACM Computing Survey'22. Reading list for knowledge-enhanced text generation, with a survey.


Artificial Benchmark for Community Detection (ABCD) - A Fast Random Graph Model with Community Structure


Message Passing Neural Networks for Simplicial and Cell Complexes


A 2-layer quasi-geostrophic atmospheric model in Python. Can be coupled to a simple land or shallow-water ocean component.


Equation-Free function toolbox for Matlab/Octave


A compiler for quantum computers based on A* and numerical optimization.


The who, what, and where of Voytek Lab code.


Tomofast-x is a 3D parallel inversion platform to run single domain or joint inversion of gravity and magnetic data.


The repository that contains the algorithms for generating domain names, dictionaries of malicious domain names. Developed to research the possibility of applying machine learning and neural networks to detect and classify malicious domains.


Exploring techniques for estimating safety of machine learning classifiers


Neural Coref Models


A collection of commonly used datasets as benchmarks for density estimation in MaLe


Deprecated repository for "Deep Learning with Topological Signatures"


Parallel Search-Based Planning Algorithms


RTE+RRTMGP is a set of codes for computing radiative fluxes in planetary atmospheres. This fork uses neural networks for the gas optics computations and optimized code for the radiative transfer.


Perform inference on algorithm-agnostic variable importance


(Python, R, C/C++) Isolation Forest and variations such as SCiForest and EIF, with some additions (outlier detection + similarity + NA imputation)


RetinaFace: Deep Face Detection Library for Python


Machine/deep learning papers that address the topic of privacy in visual data.


q2 Python package


MERFISH decoding software


biodivMapR: an R package for α- and β-diversity mapping using remotely-sensed images


This repository contains several applications, demonstrating the Meltdown bug.


A Julia/JuMP Package for Maximizing Algebraic Connectivity of Undirected Weighted Graphs


Libraries to analyze numerical simulations


Official Implementation for "ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement" (ICCV 2021) https://arxiv.org/abs/2104.02699


Implementation of reduced-order optimal control schemes for finite element models of Soft Robots


Most popular metrics used to evaluate object detection algorithms.


Workflow for SARS-CoV-2 genome Assembly at FioCruz/IAM


Pytorch implementation of Hyperspherical Variational Auto-Encoders


MeteoInfo: GIS, scientific computation and visualization environment.


A modular implementation of timely dataflow in Rust


Variational Bayes HMM over x-vectors diarization


RTEC is an Event Calculus implementation optimised for stream reasoning


Python package for handling and analyzing PSRFITS files


Registration of cells across sessions.


ERMIA: Memory-Optimized OLTP engine for Heterogeneous Workloads (SIGMOD 2016)


Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.


GAP Benchmark Suite