This repository contains PyTorch implementations of the models from the paper An Empirical Study MIME: MIMicking Emotions for Empathetic Response Generation.


Knowledge Embedding Framework Powered by XiaoHan.


My implementation of the transformer architecture from the Attention is All you need paper applied to time series.


Scripts required to calculate tetramer frequencies and create input files for ESOM. See: Dick, G.J., A. Andersson, B.J. Baker, S.S. Simmons, B.C. Thomas, A.P. Yelton, and J.F. Banfield (2009).  Community-wide analysis of microbial genome sequence signatures. Genome Biology, 10: R85


Inference algorithms for models based on Luce's choice axiom


GuwenBERT: 古文预训练语言模型（古文BERT）  A Pre-trained Language Model for Classical Chinese (Literary Chinese)


Code for SuDoRm-Rf networks for efficient audio source separation. SuDoRm-Rf stands for SUccessive DOwnsampling and Resampling of Multi-Resolution Features which enables a more efficient way of separating sources from mixtures.


R wrapper for National Grid Carbon Intensity API


[IJCAI-2021] Contrastive Model Inversion for Data-Free Knowledge Distillation


C++ Implementation of the Information Bottleneck System


Face and Landmark Detector for Anime/Manga. This is 2009s version of Imager::AnimeFace, but it works on recent system.


BiLSTM-CNN-CRF tagger


Code for "Effective Dimensionality Reduction for Word Embeddings".


repository for Publicly Available Clinical BERT Embeddings


Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification


A library for speech data augmentation in time-domain


Tool for demultiplexing Nanopore barcode sequence data


Collection of categorization systems for climate policy analysis


a metric library for Medical Image Segmentation EVALuation


Generate Haskell code from a type


The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.


Full-gradient saliency maps


Papers and code related to 'Less Than One'-Shot (LO-Shot) Learning


Machine Learning and Artificial Intelligence for Medicine.


Fast linear assignment problem (LAP) solvers for Python based on c-extensions


iNaturalist competition details


Bilateral Dependency Optimization: Defending Against Model-inversion Attacks


StorageVET 2.0 is a valuation model for analysis of energy storage technologies and some other energy resources paired with storage. The tool can be used as a standalone model, or integrated with other power system models, thanks to its open-source Python framework. Download the executable environment and learn more at https://www.storagevet.com.


Linguistic Reconstruction with LingPy


k-Medoids clustering in Rust with the FasterPAM algorithm


An open source dataset for source separation


Tools for working with Maxent in R


APPS: Automated Programming Progress Standard (NeurIPS 2021)


10th Anniversary Edition (Not endorsed by Nintendo)


Reinforcement Learning with Deep Energy-Based Policies


SIGMORPHON 2020 Shared Task: Grapheme-to-Phoneme, Unsupervised Induction of Morphology, and Typologically Diverse Morphological Inflection


Python toolkit for calculating stellar limb darkening profiles and model-specific coefficients using the stellar atmosphere spectrum library by Husser et al. (2013). Described in Parviainen & Aigrain, MNRAS 453, 3821–3826 (2015).


VMAS is a vectorized framework designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.


[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution


De-trending of K2 Light curves


PyTorch implementations of algorithms for density estimation


mapping functions to support openair


Naszilla is a Python library for neural architecture search (NAS)


R Client Library for Web Land Trajectory Service


This package contains a generic implementation of greedy Information Theoretic Feature Selection (FS) methods. The implementation is based on the common theoretic framework presented by Gavin Brown. Implementations of mRMR, InfoGain, JMI and other commonly used FS filters are provided.


folk music modelling with LSTM


An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning


Experiments towards neural network theorem proving


Flood Python Toolbox


An implementation of a simulated annealing sampler for general Ising model graphs in C++ with a dimod Python wrapper.


A collection of various deep learning architectures, models, and tips


Diffprivlib: The IBM Differential Privacy Library


Sequential Monte Carlo in python


Code used for sourcing and cleaning the BigScience ROOTS corpus


A smaller subset of 10 easily classified classes from Imagenet, and a little more French


A toolkit for robot learning research.


A set of useful perceptually uniform colormaps for plotting scientific data


SchNetPack - Deep Neural Networks for Atomistic Systems


Internet-Drafts that make up the base QUIC specification


OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.


Code for Multi-Head Attention: Collaborate Instead of Concatenate


Demo code for the MDAN paper.


Tensorflow implementation of variational auto-encoder for MNIST


PyTorch implementation of U-TAE and PaPs for satellite image time series panoptic segmentation.


[ACM TOMM 2023] - Composed Image Retrieval using Contrastive Learning and Task-oriented CLIP-based Features


[NeurIPS 2022] Official pytorch implementation of EpiGRAF


PyTorch implementation of 'B-spline Parameterized Joint Optimization of Reconstruction and K-space Trajectories (BJORK) for Accelerated 2D MRI''


Fast multi-line FASTA/Q reader in several programming languages


This repository is for the paper "A Hybrid Approach to Automatic Corpus Generation for Chinese Spelling Check"


Code for ACL 2022 paper "CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning"


利用bert预训练的中文模型进行文本分类  数据集中文情感分析语料chnsenticorp


Model extraction attacks on Machine-Learning-as-a-Service platforms.


Plotly dataset-visualization pairs, feature extraction scripts, and model training code for VizML (CHI 2019)


a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.


[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"


Creative Commons Attribution Share Alike 4.0 International

Adversarial attacks on explanations and how to defend them


Official implementation of Neural Bellman-Ford Networks (NeurIPS 2021)


Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO


Learning to Prompt (L2P) for Continual Learning @ CVPR22 and DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22


This toolkit consists of implementations of various graph-based semi-supervised learning (SSL) algorithms. Currently, three algorithms are implemented: Gaussian Random Fields (GRF), Adsorption, and Modified Adsorption (MAD). Junto also contains Hadoop-based implementations of these three algorithms.


A prize winning solution for DFDC challenge


Implementation of Retrosynthesis Prediction with Conditional Graph Logic Network


BCDU-Net : Medical Image Segmentation


Circular bacterial genome plots based on BLAST or NUCMER/PROMER alignments


BlueBERT, pre-trained on PubMed abstracts and clinical notes (MIMIC-III).


This is the official implementation of Self-Challenging Improves Cross-Domain Generalization, ECCV2020


Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving


Official Pytorch Implementation of 'Learning Action Completeness from Points for Weakly-supervised Temporal Action Localization' (ICCV-21 Oral)


A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.


ORG Fiber Clustering White Matter Atlas


Learning node representation using edge semantics


Meteor Automatic Translation Evaluation System


Repository for MolFormer


A Tensorflow implementation of Collaborative Metric Learning (CML)


[ICASSP 2024]  Matcha-TTS: A fast TTS architecture with conditional flow matching


serious constellations of reoccurring phylogenetically-independent origin


Going beyond BEDMAP2 using a super resolution deep neural network. Also a convenient flat file data repository for high resolution bed elevation datasets around Antarctica.


Evaluation toolbox for Sound Event Detection


Named Entity Recognition for Chinese social media (Weibo). From EMNLP 2015 paper.


A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI :octocat:)


This is a implementation of SDNE (Structural Deep Network embedding)


Adaptive Attention Span for Reinforcement Learning


Predicting total battery cycle life time with machine learning


Automatic Assembly For The Fungi


Tracarbon tracks your device's energy consumption and calculates your carbon emissions using your location.


Image classification for imaging flow cytometry.


A general and accurate MACs / FLOPs profiler for PyTorch models


API Documentation


Julia Package for computing [controlled] invariant sets of Hybrid Systems using Sum Of Squares Programming


A collection of some datasets for segmentation / saliency detection. Welcome to PR...:smile:


Real-time water body extent in drylands from Sentinel-1


[CVPR'22] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels


cisTopic: Probabilistic modelling of cis-regulatory topics from single cell epigenomics data


PlasmidID is a mapping-based, assembly-assisted plasmid identification tool that analyzes and gives graphic solution for plasmid identification.


Dreem One Shot Detector


MAGMA - a GPT-style multimodal model that can understand any combination of images and language. NOTE: The freely available model from this repo is only a demo. For the latest multimodal and multilingual models from Aleph Alpha check out our website https://app.aleph-alpha.com


This is CASA eMERLIN pipeline to calibrate data from the e-MERLIN array. Please fork the repository before making any changes and read the Coding Practices page in the wiki. Please add issues with the pipeline in the issues tab.


generation of Sobol low-discrepancy sequence (LDS) for the Julia language


A BERT-like deep language model for protein sequences.


Experiments with experimental rule-based models to go along with imodels.


Peptide-MHC I binding affinity prediction


Calculates Hydrologic Indicator stats and fundamental properties of daily streamflow for a given set of data


Maximum independent sets and vertex covers of large sparse graphs.


Thermopack is a thermodynamic model library for fluid properties and PVT calculations


Python IP address to Autonomous System Number lookup module. (Supports fast local lookups, and historical lookups using archived BGP dumps.)


The Biorefinery Simulation and Techno-Economic Analysis Modules; Life Cycle Assessment; Chemical Process Simulation Under Uncertainty


Open source 5G core network base on 3GPP R15


Speech Recognition using DeepSpeech2.


Accurate microsatellite genotypes from high-throughput resequencing data


Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.


Java (convolutional or fully-connected) neural network implementation with plugin for Weka. Uses dropout and rectified linear units.


CBAM implementation on TensowFlow


Edge-Conditioned Convolutions on Graphs


Reinforcement Learning for Solving the Vehicle Routing Problem


An R-shiny app that provides backsplice and canonical splicing analysis for both circular RNA (circRNA) and parental transcripts


re-implementation of googlenet batch normalization


NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).


High throughput sequencing analysis tools


Virtual Adversarial Training (VAT) implementation for PyTorch


Single Image Super-Resolution from Transformed Self-Exemplars (CVPR 2015)


DNAscan is a fast and efficient bioinformatics pipeline that allows for the analysis of DNA Next Generation sequencing data, requiring very little computational effort and memory usage.


Fine-tuning CLIP using ROCO dataset which contains image-caption pairs from PubMed articles.


Chainer implementation of Deep Convolutional Generative Adversarial Network


Auxiliary Classifier Generative Adversarial Networks in Keras


SVsim: a tool that generates synthetic Structural Variant calls as benchmarks to test/evaluate SV calling pipelines.


NNDial is an open source toolkit for building end-to-end trainable task-oriented dialogue models. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.


Semantic Scene Completion


A fork of exonerate: a generic tool for sequence alignment


Language Detection with Infinity-gram


hotpants


Official GitHub for CTAB-GAN+


Python Package for Laser Speckle Contrast Imaging


8th place solution to Zindi's FarmPin Crop Detection Challenge


Set of datasets for the deep learning recommendation model (DLRM).


Offical Implementation for PalmTree


Create timecourse "fish plots" that show changes in the clonal architecture of tumors


Official Pytorch implementation of GANILLA


REMoving Bias from Rna-seq ANalysis of Differential Transcript Stability


Can we use Planet high-resolution imagery and machine learning to assess snow cover?


GIZA++ is a statistical machine translation toolkit that is used to train IBM Models 1-5 and an HMM word alignment model. This package also contains the source for the mkcls tool which generates the word classes necessary for training some of the alignment models.


Marine Debris Datasets captured with a Forward-Looking Sonar in a water tank and turntable


Pytorch implementation of "All Tokens Matter: Token Labeling for Training Better Vision Transformers"


Complex-valued neural networks for pytorch and Variational Dropout for real and complex layers.


Source code and dataset for IJCAI 2019 paper "ProNE: Fast and Scalable Network Representation Learning"


code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486


multi-dimensional adaptive integration (cubature) in C


High Availability Shared Pipeline Engine


Generative Probabilistic Novelty Detection with Adversarial Autoencoders


Data and information about the Polaris study


whole genome MLST analysis


Eradiate: a next-generation radiative transfer model for Earth observation applications


Assign taxonomic ranks based on evolutionary divergence.


Python MCMC Sampler


Anything we need to maintain the Linked Open Data (LOD) publication of CEUR-WS.org


python wrapper for rubberband


A database of marine reference data like climatologies and bathymetry


Repository for NeurIPS 2020 Spotlight  "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"


Code for efficiently computing 2-point and 3-point correlation functions. For documentation, go to


Easy access to NOAA Integrated Surface Database (ISD) surface meteorological observations


Multi-modality pre-training


SED-fitting code for AGN and galaxies from a MCMC approach


Contains the behavior engine FlexBE.


Bridging the gap between observation and theory


Robust realtime face and facial landmark tracking on CPU with Unity integration


Keyphrase Generation


PyTorch implementation of normalizing flow models


Tools to build deep learning pipelines.


A framework for composing Neural Processes in Python


Knee point detection in Python :chart_with_upwards_trend:


Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.


skweak: A software toolkit for weak supervision applied to NLP tasks


Formal to Formal Mathematics Benchmark


Vitis HLS library for FINN


:earth_americas: Review materials for bioinformatics, computational biology, and science in general


Official Code for *Mixed Transformer UNet for Medical Image Segmentation*


High-performance error correction for Illumina resequencing data


Transcriptional burst kinetics inference and analysis described in the article "Genomic encoding of transcriptional burst kinetics" (Larsson et. al 2019).


Exclusively Dark (ExDARK) dataset which to the best of our knowledge, is the largest collection of low-light images taken in very low-light environments to twilight (i.e 10 different conditions) to-date with image class and object level annotations.


GUI-based software for training, evaluating and applying deep neural nets for image classification


Lung and Colon Cancer Histopathological Image Dataset


PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22


PyTorch Implementation of Adversarial Training for Free!


DeLighT: Very Deep and Light-Weight Transformers


[NeurIPS 2021] [T-PAMI] Global Filter Networks for Image Classification


Given an input graph (ArangoDB or PyG) it generates graph embeddings using Low-Code framework built on top of PyG.


Codes for WWW'18 Paper-DeepMove: Predicting Human Mobility with Attentional Recurrent Network


Affine Invariant Markov Chain Monte Carlo (MCMC) Ensemble sampler


Reproducing the paper — Deep Short Text Classification with Knowledge Powered Attention


Warcraft II World Map Editor


View Adaptive Neural Networks for High Performance Skeleton-based Human Action Recognition


Public repository associated with "Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL"


Plug-and-play hydra sweepers for the EA-based multifidelity method DEHB and several population-based training variations, all proven to efficiently tune RL hyperparameters.


Transcriptome Annotation by Modular Algorithms (for long read RNA sequencing data)


A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), SCR(CVPR21-W) and an online continual learning survey (Neurocomputing).


Open-source implementation of the BilBOWA (Bilingual Bag-of-Words without Alignments) word embedding model.


TGN: Temporal Graph Networks


Side Channels Analysis and Deep Learning


Astronomy (HI) extension for 3DSlicer (https://www.slicer.org/)


Paper implementations from scratch and machine learning tutorials


An easy-to-use federated learning platform


Calculate genome wide average nucleotide identity (gwANI) for a multiFASTA alignment


An R package to test for batch effects in high-dimensional single-cell RNA sequencing data.


Automatic ICD coding benchmark based on the MIMIC dataset


SAFE: Self-Attentive Function Embeddings for binary similarity


This repository is an archive. Refer to https://github.com/gvirtus/GVirtuS


Code for our ACM RecSys 2017 paper "Personalizing Session-based Recommendation with Hierarchical Recurrent Neural Networks"


Inference of couplings in proteins and RNAs from sequence variation


Codon Usage Analysis and Prediction  of Gene Expressivity


code for satellite system graphs


Fast exoplanet transmission spectrum calculator


Hydrodynamic coefficients viewer and converter for Boundary Element Method solver formats


Workflow Description Language (WDL) scripts for common vg workflows


[NAACL 2021] A Frustratingly Easy Approach for Entity and Relation Extraction https://arxiv.org/abs/2010.12812


A tool to construct repeats directly from raw reads


[CVPR2021] UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehicles


MSDNet


Modelling primary beams of radio astronomy antennas


The Graph-Cut RANSAC algorithm proposed in paper: Daniel Barath and Jiri Matas; Graph-Cut RANSAC, Conference on Computer Vision and Pattern Recognition, 2018. It is available at http://openaccess.thecvf.com/content_cvpr_2018/papers/Barath_Graph-Cut_RANSAC_CVPR_2018_paper.pdf


[Meta R-package on CRAN] Analyse forest diversity and dynamics


Pretrained BERT model for analysing COVID-19 Twitter data


SnapPy is a package for studying the topology and geometry of 3-manifolds, with a focus on hyperbolic structures. It is based on the SnapPea kernel written by Jeff Weeks.


Build Graph Nets in Tensorflow


mbedtls-SGX: a SGX-friendly TLS stack (ported from mbedtls)


A complete toolkit for shotgun proteomics data analysis


This repo contains implementation of different architectures for emotion recognition in conversations.


Social Watcher on Facebook Marketing API


Improve the quality of a denovo assembly by scaffolding and gap filling


Transportation Networks for Research


Xplique is a Neural Networks Explainability Toolbox


HAWC Accelerated Likelihood - python-only framework for HAWC data analysis


ABCpy package


EXONA: The Evolutionary eXploration of Neural Networks Framework -- EXACT, EXALT and EXAMM


HyPhy: Hypothesis testing using Phylogenies


[ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl


FastK based version of Merqury


A general-purpose BFT state machine replication library with modularity and simplicity, suitable for building hybrid consensus cryptocurrencies.


Efficient discovery of overlapping communities in massive networks PK Gopalan, DM Blei Proceedings of the National Academy of Sciences 110 (36), 14534-14539


Per-Pixel Classification is Not All You Need for Semantic Segmentation (NeurIPS 2021, spotlight)


Tuning hyperparams fast with Hyperband


Uses USGS/MERIT Basin data to visualize the path of a rain droplet to its endpoint.


In-Memory Subgraph Matching: An In-depth Study by Dr. Shixuan Sun and Prof. Qiong Luo


direct comparison of circular and linear RNA expression


The AUTOmated Photometry Of Transients (AutoPhOT) is a novel automated pipeline that is designed for rapid, publication-quality photometry of transients.


Global alignment and alignment extension


R package: TopDom - An efficient and Deterministic Method for identifying Topological Domains in Genomes


Federated Optimization in Heterogeneous Networks (MLSys '20)


Hierarchical Attention Transfer Network for Cross-domain Sentiment Classification (AAAI'18)


[IROS 2021] BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D Models


HuBERT content encoders for: A Comparison of Discrete and Soft Speech Units for Improved Voice Conversion


Code for "ATISS: Autoregressive Transformers for Indoor Scene Synthesis", NeurIPS 2021


The PatchCamelyon (PCam) deep learning classification benchmark.


SingleCellNet: classify single cells across species and platforms


A collection of PDDL generators, some of which have been used to generate benchmarks for the International Planning Competition (IPC).


Code for TMI 2018 "Joint Optic Disc and Cup Segmentation Based on Multi-label Deep Network and Polar Transformation"


Public repo for Augmented Multiscale Deep InfoMax representation learning


Semi-supervised Medical Image Segmentation through Dual-task Consistency


NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels


Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration.  Advances in Image Manipulation (AIM) workshop ECCV 2022. Try it out! over 3.3M runs https://replicate.com/mv-lab/swin2sr


Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)


Yajta is a extensible library for bytecode probe insertion, built on top of javassist. Its transformations may be applied at load time with an agent or offline.


Cubic spline approximation (smoothing)


HotNet2 is an algorithm for finding significantly altered subnetworks in a large gene interaction network


A space to log issues, updates, and software related to the ATLAS (Anatomical Tracings of Lesions After Stroke) database.


A machine learning method for the discovery of minimum marker gene combinations for cell type identification from single-cell RNA sequencing


A comprehensive, unified and modular event extraction toolkit.


Application and data for analyzing and structuring portfolios for climate investing.


Measuring Massive Multitask Language Understanding | ICLR 2021


Processing pipeline for GLEAM-X


Create Ecological Niche Models with TheMetaLand


An open-source toolkit for textual backdoor attack and defense (NeurIPS 2022 D&B, Spotlight)


Code for Nature energy manuscript


Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks


A survey of known lower bounds in arithmetic circuits.


Reproduce results and replicate training fo T0 (Multitask Prompted Training Enables Zero-Shot Task Generalization)


informatiCup 2017 - GitHub Repository Classifier


A python utility library for interacting with NASA JPL's PO.DAAC


SPlisHSPlasH is an open-source library for the physically-based simulation of fluids.


A learning environment for man-made Interactive Fiction games.


AutoPrompt: Automatic Prompt Construction for Masked Language Models.


Rainbow: Combining Improvements in Deep Reinforcement Learning


Ordinal Regression and Classification Algorithms


Package to calculate several thermal comfort indices (e.g. PMV, PPD, SET, adaptive) and convert physical variables.


homebrew (macOS) packages for RISC-V toolchain


A collection of common functionality to simplify the design, training and evaluation of machine learning models based on pytorch with an emphasis on speech processing.


Python distribution of the MatLab package UTide


Quantized Neural Networks (QNNs) on PYNQ


QIIME 2 plugin wrapping DADA2


Data compression in TensorFlow


Symbolic execution tool


A Keras implementation of YOLOv3 (Tensorflow backend)


Image-to-Image Translation in PyTorch


Stable Diffusion web UI


An OMNeT-based simulator for low-power wireless networks such as Wireless Sensor Networks and Body Area Networks


The official PyTorch implementation of the paper: *Xili Dai, Xiaojun Yuan, Haigang Gong, Yi Ma. "Fully Convolutional Line Parsing." *.


Multi-object image datasets with ground-truth segmentation masks and generative factors.


Repository for NAACL 2019 paper on Citation Intent prediction


Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)


Code for experiments regarding importance sampling for training neural networks


PyTorch Implementation of PortaSpeech: Portable and High-Quality Generative Text-to-Speech


Enhanced LTSM for natural language inference


Fully featured implementation of Routing Transformer


Codebase, data and models for the SummaC paper in TACL


[NeurIPS 2021 Spotlight] Official implementation of Long Short-Term Transformer for Online Action Detection


Event Extraction by Answering (Almost) Natural Questions


VIRULIGN: fast codon-correct alignment and annotation of viral genomes


[ECCV2020] Knowledge Distillation Meets Self-Supervision


This repository contains code used in the EMNLP 2019 paper "Learning Dynamic Context Augmentation for Global Entity Linking".


Online optimisation tool for wind+solar+storage systems


Rethinking Data Augmentation for Image Super-resolution (CVPR 2020)


ggplot2 Extension to Visualize Two Variables Per Color Aesthetic through Color Space Projection


Predictive Filter Flow for fully/self-supervised learning on various vision tasks


Creative Commons Attribution 4.0 International

Mobility changes in response to COVID-19, provided by Descartes Labs


Learning Invariant Representations for Reinforcement Learning without Reconstruction


Machine learning tool to detect landslides from optical satellite imagery


Colocalization analysis of genetic association signals


Python library for analysing faces using PyTorch


Graph-linked unified embedding for single-cell multi-omics data integration


Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.


An SDK for multi-agent collaborative perception.


Synteny and Rearrangement Identifier


impact-driven-exploration


GLoRIA: A Multimodal Global-Local Representation Learning Framework forLabel-efficient Medical Image Recognition


Resources for the MRQA 2019 Shared Task


Virtual adversarial training with Tensorflow


Soil-Vegetation-Atmosphere Transfer (SVAT) model


Calculate biomass with allometric equations from the allodb package and ForestGEO data


Constrained Nonnegative Matrix Factorization for microEndoscopic data


lamtram: A toolkit for neural language and translation modeling


Julia implementation of EXPOKIT routines


SASRec: Self-Attentive Sequential Recommendation


TN93 fast distance calculator


Image Signal Processor


Deep Clustering for Unsupervised Learning of Visual Features


:chart_with_upwards_trend: Automatically optimise three of Velvet's assembly parameters.


EndoSLAM Dataset and an Unsupervised Monocular Visual Odometry and Depth Estimation Approach for Endoscopic Videos: Endo-SfMLearner


AIXIjs - General Reinforcement Learning in the Browser


State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.


A Resistance Capacitance Model for an Energetic Simulation of a Building


A suite of convenience functions for working with hydrology data in an interactive Python session.


Rigorous Global Branch-and-Bound Optimizer


[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios


An R package to calculate indices and theoretical physicochemical properties of peptides and protein sequences.


A Unified Semi-Supervised Learning Codebase (NeurIPS'22)


Beyond Accuracy: Behavioral Testing of NLP models with CheckList


Toolbox for including enzyme constraints on a genome-scale model.


Hyperparameter Optimization for TensorFlow, Keras and PyTorch


Python 3 version of FabSim


Bayesian Light Source Separator


DeepMind's Tacotron-2 Tensorflow implementation


Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more


Find parts of long text or data, allowing for some changes/typos.


ICRA 2018  "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (Torch Implementation)


Python library to compute knowledge graph embeddings


Deep Graph Infomax (https://arxiv.org/abs/1809.10341)


MOST – MATPOWER Optimal Scheduling Tool, for steady-state power systems scheduling problems.


Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)


Learning Deep Representations of Fine-grained Visual Descriptions


Crosslingual Generalization through Multitask Finetuning


Codes of ECCV 2018 workshop paper "Deep Fashion Analysis with Feature Map Upsampling and Landmark-driven Attention"


The iFogSimToolkit (with its new release iFogSim2) for Modeling and Simulation of Resource Management Techniques in Internet of Things, Edge and Fog Computing Environments. In the new release Mobili Management, Microservice Management, and Dynamic Clustering mechanisms are added as new features.


PyTorch Implementation of "Lossless Image Compression through Super-Resolution"


ConvNet training using pytorch


Cleaned code for paper "Natural Language Inference over Interaction Space"


Active Learning for Text Classification in Python


Using RLLib and PycoLab to explore intelligent cooperative behavior in sequential social dilemmas


SQANTI2 is now replaced by SQANTI3. Please go to: https://github.com/ConesaLab/SQANTI3


Code for the AAAI 2018 Paper "HARP: Hierarchical Representation Learning for Networks"


A python package for making arbitrarily structured, arbitrary-dimension boxes


Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.


PyTorch Implementation of "Resource Efficient 3D Convolutional Neural Networks", codes and pretrained models.


PHANOTATE: a tool to annotate phage genomes.


Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems


Metadata and versioning details for the Common Voice dataset


End-To-End Memory Network using Tensorflow


SIMD partial order alignment tool/library


Code for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising


ReMapEnrich is a R-software package to identify significantly enriched regions from ReMap catalogues or user defined catalogues. ReMapEnrich provide functions to import any in-house catalogue, automate and plot the enrichment analysis for genomic regions.


Diffusive Nested Sampling


Pafish is a testing tool that uses different techniques to detect virtual machines and malware analysis environments in the same way that malware families do


Empirical Software Engineering journal (EMSE) open science and reproducible research initiative


PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics


Python package for the creation, manipulation, and learning of Causal DAGs


Spatial-eXpression-R: Cell type identification (including cell type mixtures) and cell type-specific differential expression for spatial transcriptomics


Subtype and Stage Inference (SuStaIn) algorithm with an example using simulated data.


Flexible Stellar Population Synthesis


Official PyTorch implementation of Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion (CVPR 2020)


DoubleML - Double Machine Learning in Python


Ground heat transfer calculation tool


a bash pipeline for RAD sequencing


A simple toolkit to process TREC files in Python.


Quantum Refinement Module


R package for oceanographic processing


FedJAX is a JAX-based open source library for Federated Learning simulations that emphasizes ease-of-use in research.


Read-only mirror of Trusted Firmware-A


Just Another JAva Package for Sequence Analysis


XCFun: A library of exchange-correlation functionals with arbitrary-order derivatives


Breakthrough Listen I/O Methods for Python


Tools for atmospheric research


Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.


Rocket Chip Generator


Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning


Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.


LaFIn: Generative Landmark Guided Face Inpainting


CVPR2022 (Oral) - Rethinking Semantic Segmentation: A Prototype View


Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"


[CVPR 2021 Best Student Paper Honorable Mention, Oral] Official PyTorch code for ClipBERT, an efficient framework for end-to-end learning on image-text and video-text tasks.


Position-aware Graph Neural Networks


CPT: A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and Generation


Brain Surrogate Maps with Autocorrelated Spatial Heterogeneity


92.45% on CIFAR-10 in Torch


We present the first open-source VR NERF Unity package that brings high resolution, low-latency, 6-DOF NERF rendering to VR. This work is based on Nvidia's ground breaking instant-ngp technique.


Implementation of Visual Transformer for Small-size Datasets


Deep Learning based Remote Sensing Methods for Methane Detection in Airborne Hyperspectral Imagery


Repository for our ACL 2020 paper "Learning and Evaluating Emotion Lexicons for 91 Languages"


Aligning pretrained language models with instruction data generated by themselves.


DrQ-v2: Improved Data-Augmented Reinforcement Learning


Repository for the paper "Planning to Explore via Self-Supervised World Models"


A light RINA implementation. Documentation is available in REAME.md (see below).


Self-supervised contrastive learning for time series via time-frequency consistency


Conda recipe files for the Fermi Sciencetools software analysis package: Fermitools


Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks


Implementation of TabTransformer, attention network for tabular data, in Pytorch


The data skeleton from Joint 2D-3D-Semantic Data for Indoor Scene Understanding


Easy and versatile open-source  code to explore Kepler, K2 and TESS data in the search for exoplanets


Solvation model for the plane wave DFT code VASP.


Converts an xyz file to an RDKit mol object


baltic - backronymed adaptable lightweight tree import code for molecular phylogeny manipulation, analysis and visualisation. Development is back on the evogytis/baltic branch (i.e. here).


A proxy app for the Monte Carlo Transport Code, Mercury.  LLNL-CODE-684037


An online tool for forest management scenario planning


Cell type specific enhancer-gene predictions using ABC model (Fulco, Nasser et al, Nature Genetics 2019)


Compilation, analysis and optimization framework for the Scaffold quantum programming language.


Readers for the data from the International Soil Moisture Network


DDFacet Imaging Project


The RWTH ASR Toolkit.


A flexible and extensible framework for gait recognition. You can focus on designing your own models and comparing with state-of-the-arts easily with the help of OpenGait.


OpenBuildingControl - Performance Evaluation, Specification, Deployment and Verification of Building Control Sequences


A CRF-based ASR Toolkit


Grid-based workflow management system for lattice field theory simulations


Federated Learning Simulator (FLSim) is a flexible, standalone core library that simulates FL settings with a minimal, easy-to-use API. FLSim is domain-agnostic and accommodates many use cases such as vision and text.


Brain-inspired Cognitive Intelligence Engine (BrainCog) is a brain-inspired spiking neural network based platform for Brain-inspired Artificial Intelligence and simulating brains at multiple scales. The long term goal of BrainCog is to provide a comprehensive theory and system to decode the mechanisms and principles of human intelligence and its evolution, and develop artificial brains for brain-inspired conscious living AI in future Human-AI symbiotic Society.


Persian NLP Toolkit


Phonon code


Machine Learning in R


Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing


Intensity Scan Context based full SLAM implementation for autonomous driving. ICRA 2020


OpenAgents: An Open Platform for Language Agents in the Wild


A Python package for hubness analysis and high-dimensional data mining


TenforFlow Implementation of Neural Factorization Machine


Multi-view 3D reconstruction using neural rendering. Unofficial implementation of UNISURF, VolSDF, NeuS and more.


Generate C code for microcontrollers from Python's sklearn classifiers


Keras implementation for Deep Embedding Clustering (DEC)


Official implementation of compound word transformer (AAAI'21)


The official code for “DocTr: Document Image Transformer for Geometric Unwarping and Illumination Correction”, ACM MM, Oral Paper, 2021.


Mock spatially resolved spectral line observations of simulated galaxies.


This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification


deep learning, image retrieval, vision and language


AUTOTYP data export


This is an implementation for the CVPR2020 paper "Learning Invariant Representation for Unsupervised Image Restoration"


Official PyTorch implementation of Fully Attentional Networks


SCOPS: Self-Supervised Co-Part Segmentation (CVPR'19)


Krylov subspace methods package for Python


DiffWave is a fast, high-quality neural vocoder and waveform synthesizer.


Official pytorch implementation for "Video Panoptic Segmentation" (CVPR 2020 Oral)


ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks


Code Release for LF-Net: Learning Local Features from Images


Flip-flop basecaller for Oxford Nanopore reads


PyTorch Implementation of the CVPR'19 Paper "Practical Full Resolution Learned Lossless Image Compression"


The Implementation of FastSpeech based on pytorch.


The pretrained models trained on Moments in Time Dataset


Indic-BERT-v1: BERT-based Multilingual Model for 11 Indic Languages and Indian-English. For latest Indic-BERT v2, check: https://github.com/AI4Bharat/IndicBERT


Codebase and pretrained models for ECCV'18 Unified Perceptual Parsing


Python library for computing Finite-Amplitude Local Wave Activity from climate data.


Source code for EPA’s annual air trends report on air quality, emissions and visibility trends.


Train neural networks based on geographic species occurrences, environmental data and existing IUCN Red List assessments to predict the conservation status of "Not Evaluated" species, for any taxon or geographic region of interest. https://iucnn.github.io/IUCNN/


KoAlpaca: 한국어 명령어를 이해하는 오픈소스 언어모델


Neuroimaging in PyTorch


Python code to interface with halo catalogs and other Abacus N-body data products


Plotting scripts for long read sequencing data


Research using Qiskit.


Tools to Calculate Climate Targets for Financial Portfolios


Python implementation of Empirical Mode Decompoisition (EMD) method


Miscellaneous soil data management, summary, visualization, and conversion utilities to support soil survey.


Software for analyzing high dimensional dose-response data


Clear files and folders.


PyAutoLens: Open Source Strong Gravitational Lensing


Low bandwidth DoS tool. Slowloris rewrite in Python.


Pythonic interface to netCDF4 via h5py


Pythonic Bayesian inference and visualization for the MultiNest Nested Sampling Algorithm and PyCuba's cubature algorithms.


Gym environments and agents for autonomous driving.


Official git repo for iodine dns tunnel


SMAC: The StarCraft Multi-Agent Challenge


A set of tools to analyse the output from TraDIS analyses


A library for numerical weather prediction and climate modelling


Software package for assigning SARS-CoV-2 genome sequences to global lineages.


Wind Plant Integrated System Design and Engineering Model


An open-source post-exploitation framework for students, researchers and developers.


Accurately separates a URL’s subdomain, domain, and public suffix, using the Public Suffix List (PSL).


My-Voice Analysis is a Python library for the analysis of voice (simultaneous speech, high entropy) without the need of a transcription. It breaks utterances and detects syllable boundaries, fundamental frequency contours, and formants.


Example implementation of the DeepStack algorithm for no-limit Leduc poker


Reinforcement learning for medical decisions


Hiera: A fast, powerful, and simple hierarchical vision transformer.


Spitfire is a Python/C++ library for constructing tabulated chemistry models and solving differential equations.


Assembly by Reduced Complexity (ARC)


[ACL 2020] Tensorflow implementation for "Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks"


Deep network that performs spectral clustering


Codes for our paper "Progressive Differentiable Architecture Search:Bridging the Depth Gap between Search and Evaluation"


[IJCAI'18] Spatio-Temporal Graph Convolutional Networks


Code and data accompanying the FedGen paper


BERT models for Japanese text.


A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.


XicTools: Xic graphical editor, WRspice circuit simulator, and accessories. for electronic design.


Code for the paper "On First-Order Meta-Learning Algorithms"


A PyTorch implementation of the 'FaceNet' paper for training a facial recognition model with Triplet Loss using the glint360k dataset. A pre-trained model using Triplet Loss is available for download.


Machine Learning inference engine for Microcontrollers and Embedded devices


X-modaler is a versatile and high-performance codebase for cross-modal analytics(e.g., image captioning, video captioning, vision-language pre-training, visual question answering, visual commonsense reasoning, and cross-modal retrieval).


Detection of filamentary structure in molecular clouds


A Python Package for Density Ratio Estimation


Microbial community analysis tools in R


Command line Java Decompiler


autodp: A flexible and easy-to-use package for differential privacy


PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks


C++ implementation of the Coherent Point Drift point set registration algorithm.


Face detection, tracking and clustering in videos


Microsatellite Analysis for Normal-Tumor InStability


An R package for biomass estimation at extratropical forest plots.


ProSPr: Protein Structure Prediction


A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.


A collection of scripts to assist in the retrieval of data from the ENA Browser


RISC-V Virtual Prototype


Finite-state script normalization and processing utilities


GFlowNet library specialized for graph & molecular data


National and subnational estimates of the time-varying reproduction number for Covid-19


The official SuiteSparse library: a suite of sparse matrix algorithms authored or co-authored by Tim Davis, Texas A&M University.


Gene Set Enrichment Analysis in Python


The goal of this toolbox is to provide open-source research-level and prototyping software tools for hyperpolarized MRI experiments. It is currently based on MATLAB/Octave code, and includes code for designing radiofrequency (RF) pulses, imaging gradients, data reconstruction, and data analysis. doi: 10.5281/zenodo.1198915


GBBS: Graph Based Benchmark Suite


Generalized and Efficient Blackbox Optimization System


A Python Perceptual Image Hashing Module


An open source, high scalability toolkit in Java for Entity Resolution.


LOFAR solutions tool


Minimalist NMT for educational purposes


forecast package for R


A pure Python interface to the Raspberry Pi camera module


The full dataset behind paperswithcode.com


reference-based long read assemblies of bacterial genomes


Generative Adversarial Transformers


SKESA assembler


CVPR 2019 Paper - Learning Actor Relation Graphs for Group Activity Recognition


Network Reverse Engineering through AP inference of Mutual Information


Identifying and removing near-duplicate images using perceptual hashing.


:page_facing_up: A PyTorch implementation of Paragraph Vectors (doc2vec).


A bottom-up traffic emission calculation tool developed at the Institute for Advanced Sustainability Studies in Potsdam and built in Python.


Repository for the paper "Convolutional Mesh Regression for Single-Image Human Shape Reconstruction"


code and docs for my EMNLP paper "DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning"


mixup: Beyond Empirical Risk Minimization


CUDA-Warp RNN-Transducer


allRank is a framework for training learning-to-rank neural models based on PyTorch.


Implementation of the Wave-U-Net for audio source separation


Deep generative models of 3D grids for structure-based drug discovery


Language model fine-tuning on NER with an easy interface and cross-domain evaluation. "T-NER: An All-Round Python Library for Transformer-based Named Entity Recognition, EACL 2021"


Sequence-to-sequence model with LSTM encoder/decoders and attention


Repo for "Physion: Evaluating Physical Prediction from Vision in Humans and Machines", presented at NeurIPS 2021 (Datasets & Benchmarks track)


A bayesian pipeline for detecting stochastic backgrounds with LISA.


Package to analyze EEG, ECoG and other electrophysiology formats. It allows for visualization of the results and for a GUI that can be used to score sleep stages.


A Javascript/d3 embeddable plugin for interactively visualizing statistical genetic data from customizable sources.


Another Gtf/Gff Analysis Toolkit


Fuente de datos de los reportajes y proyectos de periodismo de investigación y datos de DATADISTA


BrainSpace is an open-access toolbox that allows for the identification and analysis of gradients from neuroimaging and connectomics datasets | available in both Python and Matlab |


Sustainable Development Goals tracker website


PASTA (Practical Alignment using SATe and Transitivity)


Distances and representations of persistence diagrams


Software for generating SNAP machine-learning interatomic potentials


HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training


Documentation for the General Bikeshare Feed Specification, a standardized data feed for shared mobility system availability.     Maintained by MobilityData


Alternative firmware for ESP8266 and ESP32 based devices with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Full documentation at


A repository in preparation for open-sourcing lottery ticket hypothesis code.


Dynamic Network Embedding by Modeling Triadic Closure Process


Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours


A simple and effective method for detecting out-of-distribution images in neural networks.


Masked Siamese Networks for Label-Efficient Learning (https://arxiv.org/abs/2204.07141)


A versatile sequenced read processor for nanopore direct RNA sequencing


Sequence modeling benchmarks and temporal convolutional networks


Code for "Image Generation from Scene Graphs", Johnson et al, CVPR 2018


Subpopulation detection in high-dimensional single-cell data


Generates input data for energy models on renewable energy in arbitrary world regions using public datasets. Written in Julia 1.x.


The rep for the RankIQA paper in ICCV 2017


Automatically exported from code.google.com/p/jmodeltest2


PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057


The Ethereum Smart Contract Fuzzer for Security Vulnerability Detection (ASE 2018)


Learning from Synthetic Humans, CVPR 2017


[DEPRECATED] Repo for exploring multi-task learning approaches to learning sentence representations


NSGA-Net, a Neural Architecture Search Algorithm


Adversarially Learned Inference


Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @ ms8909@nyu.edu


S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics


Neural Relation Extraction, including CNN, PCNN, CNN+ATT, PCNN+ATT


AlphaFold2 non-docker setup


k-mer based assembly evaluation


Main ricopili repo for public releases


Lightweight converter between hic and cool contact matrices.


Energy System Description Language


Open mesh-to-mesh registration framework


Synthesis Format Conversion Tool


:dancer: :palm_tree: LYVE-SET, a method of using hqSNPs to create a phylogeny, especially for outbreak investigations


Black-box Optimizer based on Bayesian Optimization


A curated database of insecure Python packages


Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data


Full description can be found here: https://discuss.huggingface.co/t/pretrain-gpt-neo-for-open-source-github-copilot-model/7678?u=ncoop57


Scalable Image Analysis and Shape Modelling


An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites


Accelerated Microstructure Imaging via Convex Optimization (AMICO) from diffusion MRI data


A Python module that provides a unified interface to access mock galaxy catalogs and more for the LSST DESC


Packet Test Framework


Crystal graph convolutional neural networks for predicting material properties.


Quantitative Structure Models of Single Trees from Laser Scanner Data


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


DRESS simplification model (EMNLP 2017) described in http://aclweb.org/anthology/D/D17/D17-1062.pdf


Python-based implementation of the Translate-Align-Retrieve method to automatically translate the SQuAD Dataset to Spanish.


Hetionet: an integrative network of disease


Genome-wide assessment of differential translations with ribosome profiling data


The Low Impact version of the Organic Basics website


dabnn is an accelerated binary neural networks inference framework for mobile platform


Fit and compare complex models reliably and rapidly. Advanced nested sampling.


Sanitation System Alternative Generator


PheKnowLator: Heterogeneous Biomedical Knowledge Graphs and Benchmarks Constructed Under Alternative Semantic Models


High level network definitions with pre-trained weights in TensorFlow


A fast approximate aligner for long DNA sequences


A Python Spectral Typing Suite


sparse communication library


An R Framework for Climate Data Access and Post-processing


Deep Fact Validation


Caffe for Sparse Convolutional Neural Network


A package for combining dithered images into a single image


Python version of Sudachi, a Japanese tokenizer.


A Python interface for https://github.com/fplll/fplll


A generalizable application framework for segmentation, regression, and classification using PyTorch


news-please - an integrated web crawler and information extractor for news that just works


A modular high-level library to train embodied AI agents across a variety of tasks and environments.


Structured Edge Detection Toolbox


Connectome Mapper


[CVPR 2020--Oral] CycleISP: Real Image Restoration via Improved Data Synthesis


Torch code for our CVPR 2018 paper "Residual Dense Network for Image Super-Resolution" (Spotlight)


quality filtering tool for long reads


BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networks


kuenm: An R package for detailed calibration and construction of Maxent Ecological Niche Models.


piRNA pipeline collection developed in the Zamore Lab and ZLab in UMass Med School


Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)


A Non-Autoregressive Text-to-Speech (NAR-TTS) framework, including official PyTorch implementation of PortaSpeech (NeurIPS 2021) and DiffSpeech (AAAI 2022)


An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.


A TensorFlow implementation of this Nvidia paper: https://arxiv.org/pdf/1604.07316.pdf with some changes


Repo for BenTsao [original name: HuaTuo (华驼)], Instruction-tuning Large Language Models with Chinese Medical Knowledge. 本草（原名：华驼）模型仓库，基于中文医学知识的大语言模型指令微调


This project purpose is convert voc annotation xml file to yolo-darknet training file format


Next RecSys Library


Statistically Significant loops from HiChIP data


Auto-WEKA


Generate bootstrapped confidence intervals for A/B testing in Python.


VirtualFCS is a Modelica library for hybrid hydrogen fuel cell and battery power systems.


soilDB: Simplified Access to National Cooperative Soil Survey Databases


Web API to easily access satellite-based emission data


High throughput synchronous and asynchronous reinforcement learning


A set of BIDS compatible datasets with empty raw data files that can be used for writing lightweight software tests.


PennyLane is a cross-platform Python library for differentiable programming of quantum computers.  Train a quantum computer the same way as a neural network.


LuCI - OpenWrt Configuration Interface


Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.


Applied generative adversarial networks (GANs) to do anomaly detection for time series data


VGGVox models for Speaker Identification and Verification trained on the VoxCeleb (1 & 2) datasets


An application to visualize scholar articles as an interactive graph


Pronounced as "musician", musicnn is a set of pre-trained deep convolutional neural networks for music audio tagging.


Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs


LocusCompareR is a R package with visualization tools for comparing two genetic association datasets.


Unofficial implementation of Palette: Image-to-Image Diffusion Models by Pytorch


miRge - microRNA alignment software for small RNA-seq data, now at v2.0


Access and analyze historical weather and climate data with Python.


:sunny: Open-source view-factor model for diffuse shading and bifacial PV modeling. Documentation:


Public home of pycorels, the python binding to CORELS


The redMaPPer Cluster Finder


[Unofficial] PyTorch implementation of "Conformer: Convolution-augmented Transformer for Speech Recognition" (INTERSPEECH 2020)


Python Implementations of Word Sense Disambiguation (WSD) Technologies.


Comparing many FRP implementations by reimplementing the same toy app in each.


Publication-ready volcano plots with enhanced colouring and labeling


TensorFlow implementation of an arbitrary order Factorization Machine


This repository is a tool for visualizing an agent RL process from a grid2op format. It was made though a partnership between RTE and Artelys for the different challengers of the L2RPN RL Challenge.


[ICLR 2022] Official implementation of the paper "DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR"


Differentiable SDE solvers with GPU support and efficient sensitivity analysis.


software tools for haplotype assembly from sequence data


DAMO-ConvAI: The official repository which contains the codebase for Alibaba DAMO Conversational AI.


A tool for the unsupervised clustering of cells from single cell RNA-Seq experiments


Microscope control software


Deep Learning for IACT Event Reconstruction


Awesome Remote Sensing Toolkit based on PaddlePaddle.


JETSCAPE, a modular, task-based framework for simulating all aspects of heavy-ion collisions.


Faker is a Python package that generates fake data for you.


PyTorch source code for "Stacked Cross Attention for Image-Text Matching" (ECCV 2018)


Pretrained language model with 100B parameters


PyTorch bottom-up attention with Detectron2


Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation (CVPR 2022)


Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering


[ECCV-2020 (spotlight)] Self-supervising Fine-grained Region Similarities for Large-scale Image Localization.  PyTorch open-source toolbox for image-based localization (place recognition).


Knowledge Graph Embeddings including TransE, TransH, TransR and PTransE


Official PyTorch implementation for paper: Diffusion-GAN: Training GANs with Diffusion


Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"


[CVPR'19 Oral] Deeper and Wider Siamese Networks for Real-Time Visual Tracking


Full-length transcriptome splicing and mutation analysis


Platform for designing and evaluating Graph Neural Networks (GNN)


The MPLAPACK: multiple precision version of BLAS and LAPACK


This repository is intended to host tools and demos for ActivityNet


Double Dummy Solver written in C++ for the Bridge Card Game


Understand and mitigate software-observable side-channels


CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms


Assess the quality of microbial genomes recovered from isolates, single cells, and metagenomes


[NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies


Thermal energy components for the Open Energy Modeling Framework (oemof).


Keras' fork with several new functionalities. Caffe2Keras converter, multimodal layers, etc.


RoBO: a Robust Bayesian Optimization framework


Reference BLEU implementation that auto-downloads test sets and reports a version string to facilitate cross-lab comparisons


Code


Graph theory (network) library for visualisation and analysis


Caffe: a fast open framework for deep learning. With OpenCL and CUDA support.


:bar_chart: A universal enrichment tool for interpreting omics data


A module for normalising text.


Sorted A-Prolog with Consistency Restoring rules.


code for Image Manipulation Detection by Multi-View Multi-Scale Supervision


Microbial Populations as Clusters Of Gene Transfer


Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm


Linear mixed model for genomic analyses.


An R package that makes xgboost models fully interpretable


A Tensorflow implementation of QANet for machine reading comprehension


Mean Field Multi-Agent Reinforcement Learning


A pyTorch implementation of the DeepMoji model: state-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc


The versatile ocean simulator, in pure Python, powered by JAX.


StableLM: Stability AI Language Models


Paddle Large Scale Classification Tools，supports ArcFace, CosFace, PartialFC, Data Parallel + Model Parallel. Model includes ResNet, ViT, Swin, DeiT, CaiT, FaceViT, MoCo, MAE, ConvMAE, CAE.


An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators.


Python toolkit for GEOS-Chem.  Contains basic plotting scripts, plus the suite of GEOS-Chem benchmarking utilities.


Official outputs from the RDA DMP Common Standards WG


PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.


Collection of algorithms for online portfolio selection


Library for Model Based RL


Code metrics for Java code by means of static analysis


NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO


Apache Ant is a Java-based build tool.


Global soil respiration database


Fusion-in-Decoder


Matlab Circular Statistics Toolbox


docker monitoring experiment


A 3D electromagnetic FDTD simulator written in Python with optional GPU support


Finite-amplitude Impulse Response simple climate model


Package for evaluating word embeddings


Tools to analyze and manipulate climate (spatiotemporal) data. Also used by ClimateTools and ClimatePlots


Modelling jetted Active Galactic Nuclei radiative processes with python


A Julia implementation of Rapid and accurate Radiative Transfer Model for General Circulation Models.


Small language toolkit for creation, interpolation and pruning of ARPA language models


Facebook Low Resource (FLoRes) MT Benchmark


:whale: Scripps Whale Acoustics Lab   :earth_americas: Scripps Acoustic Ecology Lab - Triton with remoras in development


New LandBOSSE Model (Developed in 2018-2019)


Python implementation of behaviour trees.


Language Understanding Evaluation benchmark for Chinese: datasets, baselines, pre-trained models,corpus and leaderboard


A FRamework for Efficient Secure COmputation


Understand and reduce your carbon footprint  iOS & Android.


The official code for PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization


Tools for plotting methylation data in various ways


Siamese and triplet networks with online pair/triplet mining in PyTorch


A Model for Natural Language Attack on Text Classification and Inference


SolTrace


Tool for stripping adaptors and/or merging paired reads with overlap into single reads.


A high throughput sequence read  toolset using a streaming approach facilitated by Linux pipes


Machine learning assisted marginal likelihood (Bayesian evidence) estimation for Bayesian model selection


Source code for the General Ocean Turbulence Model


Survival package for R


PyTorch implementation of VALL-E(Zero-Shot Text-To-Speech), Reproduced Demo https://lifeiteng.github.io/valle/index.html


SemanticVectors creates semantic WordSpace models from free natural language text.


An efficient index for the colored, compacted, de Bruijn graph


中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取、身份证抽取、邮箱抽取、中日文人名库、中文缩写库、拆字词典、词汇情感值、停用词、反动词表、暴恐词表、繁简体转换、英文模拟中文发音、汪峰歌词生成器、职业名称词库、同义词库、反义词库、否定词库、汽车品牌词库、汽车零件词库、连续英文切割、各种中文词向量、公司名字大全、古诗词库、IT词库、财经词库、成语词库、地名词库、历史名人词库、诗词词库、医学词库、饮食词库、法律词库、汽车词库、动物词库、中文聊天语料、中文谣言数据、百度中文问答数据集、句子相似度匹配算法集合、bert资源、文本生成&摘要相关工具、cocoNLP信息抽取工具、国内电话号码正则匹配、清华大学XLORE:中英文跨语言百科知识图谱、清华大学人工智能技术系列报告、自然语言生成、NLU太难了系列、自动对联数据及机器人、用户名黑名单列表、罪名法务名词及分类模型、微信公众号语料、cs224n深度学习自然语言处理课程、中文手写汉字识别、中文自然语言处理 语料/数据集、变量命名神器、分词语料库+代码、任务型对话英文数据集、ASR 语音数据集 + 基于深度学习的中文语音识别系统、笑声检测器、Microsoft多语言数字/单位/如日期时间识别包、中华新华字典数据库及api(包括常用歇后语、成语、词语和汉字)、文档图谱自动生成、SpaCy 中文模型、Common Voice语音识别数据集新版、神经网络关系抽取、基于bert的命名实体识别、关键词(Keyphrase)抽取包pke、基于医疗领域知识图谱的问答系统、基于依存句法与语义角色标注的事件三元组抽取、依存句法分析4万句高质量标注数据、cnocr：用来做中文OCR的Python3包、中文人物关系知识图谱项目、中文nlp竞赛项目及代码汇总、中文字符数据、speech-aligner: 从“人声语音”及其“语言文本”产生音素级别时间对齐标注的工具、AmpliGraph: 知识图谱表示学习(Python)库：知识图谱概念链接预测、Scattertext 文本可视化(python)、语言/知识表示工具：BERT & ERNIE、中文对比英文自然语言处理NLP的区别综述、Synonyms中文近义词工具包、HarvestText领域自适应文本挖掘工具（新词发现-情感分析-实体链接等）、word2word：(Python)方便易用的多语言词-词对集：62种语言/3,564个多语言对、语音识别语料生成工具：从具有音频/字幕的在线视频创建自动语音识别(ASR)语料库、构建医疗实体识别的模型（包含词典和语料标注）、单文档非监督的关键词抽取、Kashgari中使用gpt-2语言模型、开源的金融投资数据提取工具、文本自动摘要库TextTeaser: 仅支持英文、人民日报语料处理工具集、一些关于自然语言的基本模型、基于14W歌曲知识库的问答尝试--功能包括歌词接龙and已知歌词找歌曲以及歌曲歌手歌词三角关系的问答、基于Siamese bilstm模型的相似句子判定模型并提供训练数据集和测试数据集、用Transformer编解码模型实现的根据Hacker News文章标题自动生成评论、用BERT进行序列标记和文本分类的模板代码、LitBank：NLP数据集——支持自然语言处理和计算人文学科任务的100部带标记英文小说语料、百度开源的基准信息抽取系统、虚假新闻数据集、Facebook: LAMA语言模型分析，提供Transformer-XL/BERT/ELMo/GPT预训练语言模型的统一访问接口、CommonsenseQA：面向常识的英文QA挑战、中文知识图谱资料、数据及工具、各大公司内部里大牛分享的技术文档 PDF 或者 PPT、自然语言生成SQL语句（英文）、中文NLP数据增强（EDA）工具、英文NLP数据增强工具 、基于医药知识图谱的智能问答系统、京东商品知识图谱、基于mongodb存储的军事领域知识图谱问答项目、基于远监督的中文关系抽取、语音情感分析、中文ULMFiT-情感分析-文本分类-语料及模型、一个拍照做题程序、世界各国大规模人名库、一个利用有趣中文语料库 qingyun 训练出来的中文聊天机器人、中文聊天机器人seqGAN、省市区镇行政区划数据带拼音标注、教育行业新闻语料库包含自动文摘功能、开放了对话机器人-知识图谱-语义理解-自然语言处理工具及数据、中文知识图谱：基于百度百科中文页面-抽取三元组信息-构建中文知识图谱、masr: 中文语音识别-提供预训练模型-高识别率、Python音频数据增广库、中文全词覆盖BERT及两份阅读理解数据、ConvLab：开源多域端到端对话系统平台、中文自然语言处理数据集、基于最新版本rasa搭建的对话系统、基于TensorFlow和BERT的管道式实体及关系抽取、一个小型的证券知识图谱/知识库、复盘所有NLP比赛的TOP方案、OpenCLaP：多领域开源中文预训练语言模型仓库、UER：基于不同语料+编码器+目标任务的中文预训练模型仓库、中文自然语言处理向量合集、基于金融-司法领域(兼有闲聊性质)的聊天机器人、g2pC：基于上下文的汉语读音自动标记模块、Zincbase 知识图谱构建工具包、诗歌质量评价/细粒度情感诗歌语料库、快速转化「中文数字」和「阿拉伯数字」、百度知道问答语料库、基于知识图谱的问答系统、jieba_fast 加速版的jieba、正则表达式教程、中文阅读理解数据集、基于BERT等最新语言模型的抽取式摘要提取、Python利用深度学习进行文本摘要的综合指南、知识图谱深度学习相关资料整理、维基大规模平行文本语料、StanfordNLP 0.2.0：纯Python版自然语言处理包、NeuralNLP-NeuralClassifier：腾讯开源深度学习文本分类工具、端到端的封闭域对话系统、中文命名实体识别：NeuroNER vs. BertNER、新闻事件线索抽取、2019年百度的三元组抽取比赛：“科学空间队”源码、基于依存句法的开放域文本知识三元组抽取和知识库构建、中文的GPT2训练代码、ML-NLP - 机器学习(Machine Learning)NLP面试中常考到的知识点和代码实现、nlp4han:中文自然语言处理工具集(断句/分词/词性标注/组块/句法分析/语义分析/NER/N元语法/HMM/代词消解/情感分析/拼写检查、XLM：Facebook的跨语言预训练语言模型、用基于BERT的微调和特征提取方法来进行知识图谱百度百科人物词条属性抽取、中文自然语言处理相关的开放任务-数据集-当前最佳结果、CoupletAI - 基于CNN+Bi-LSTM+Attention 的自动对对联系统、抽象知识图谱、MiningZhiDaoQACorpus - 580万百度知道问答数据挖掘项目、brat rapid annotation tool: 序列标注工具、大规模中文知识图谱数据：1.4亿实体、数据增强在机器翻译及其他nlp任务中的应用及效果、allennlp阅读理解:支持多种数据和模型、PDF表格数据提取工具 、 Graphbrain：AI开源软件库和科研工具，目的是促进自动意义提取和文本理解以及知识的探索和推断、简历自动筛选系统、基于命名实体识别的简历自动摘要、中文语言理解测评基准，包括代表性的数据集&基准模型&语料库&排行榜、树洞 OCR 文字识别 、从包含表格的扫描图片中识别表格和文字、语声迁移、Python口语自然语言处理工具集(英文)、 similarity：相似度计算工具包，java编写、海量中文预训练ALBERT模型 、Transformers 2.0 、基于大规模音频数据集Audioset的音频增强 、Poplar：网页版自然语言标注工具、图片文字去除，可用于漫画翻译 、186种语言的数字叫法库、Amazon发布基于知识的人-人开放领域对话数据集 、中文文本纠错模块代码、繁简体转换 、 Python实现的多种文本可读性评价指标、类似于人名/地名/组织机构名的命名体识别数据集 、东南大学《知识图谱》研究生课程(资料)、. 英文拼写检查库 、 wwsearch是企业微信后台自研的全文检索引擎、CHAMELEON：深度学习新闻推荐系统元架构 、 8篇论文梳理BERT相关模型进展与反思、DocSearch：免费文档搜索引擎、 LIDA：轻量交互式对话标注工具 、aili - the fastest in-memory index in the East 东半球最快并发索引 、知识图谱车音工作项目、自然语言生成资源大全 、中日韩分词库mecab的Python接口库、中文文本摘要/关键词提取、汉字字符特征提取器 (featurizer)，提取汉字的特征（发音特征、字形特征）用做深度学习的特征、中文生成任务基准测评 、中文缩写数据集、中文任务基准测评 - 代表性的数据集-基准(预训练)模型-语料库-baseline-工具包-排行榜、PySS3：面向可解释AI的SS3文本分类器机器可视化工具 、中文NLP数据集列表、COPE - 格律诗编辑程序、doccano：基于网页的开源协同多语言文本标注工具 、PreNLP：自然语言预处理库、简单的简历解析器，用来从简历中提取关键信息、用于中文闲聊的GPT2模型：GPT2-chitchat、基于检索聊天机器人多轮响应选择相关资源列表(Leaderboards、Datasets、Papers)、(Colab)抽象文本摘要实现集锦(教程 、词语拼音数据、高效模糊搜索工具、NLP数据增广资源集、微软对话机器人框架 、 GitHub Typo Corpus：大规模GitHub多语言拼写错误/语法错误数据集、TextCluster：短文本聚类预处理模块 Short text cluster、面向语音识别的中文文本规范化、BLINK：最先进的实体链接库、BertPunc：基于BERT的最先进标点修复模型、Tokenizer：快速、可定制的文本词条化库、中文语言理解测评基准，包括代表性的数据集、基准(预训练)模型、语料库、排行榜、spaCy 医学文本挖掘与信息提取 、 NLP任务示例项目代码集、 python拼写检查库、chatbot-list - 行业内关于智能客服、聊天机器人的应用和架构、算法分享和介绍、语音质量评价指标(MOSNet, BSSEval, STOI, PESQ, SRMR)、 用138GB语料训练的法文RoBERTa预训练语言模型 、BERT-NER-Pytorch：三种不同模式的BERT中文NER实验、无道词典 - 有道词典的命令行版本，支持英汉互查和在线查询、2019年NLP亮点回顾、 Chinese medical dialogue data 中文医疗对话数据集 、最好的汉字数字(中文数字)-阿拉伯数字转换工具、 基于百科知识库的中文词语多词义/义项获取与特定句子词语语义消歧、awesome-nlp-sentiment-analysis - 情感分析、情绪原因识别、评价对象和评价词抽取、LineFlow：面向所有深度学习框架的NLP数据高效加载器、中文医学NLP公开资源整理 、MedQuAD：(英文)医学问答数据集、将自然语言数字串解析转换为整数和浮点数、Transfer Learning in Natural Language Processing (NLP) 、面向语音识别的中文/英文发音辞典、Tokenizers：注重性能与多功能性的最先进分词器、CLUENER 细粒度命名实体识别 Fine Grained Named Entity Recognition、 基于BERT的中文命名实体识别、中文谣言数据库、NLP数据集/基准任务大列表、nlp相关的一些论文及代码, 包括主题模型、词向量(Word Embedding)、命名实体识别(NER)、文本分类(Text Classificatin)、文本生成(Text Generation)、文本相似性(Text Similarity)计算等，涉及到各种与nlp相关的算法，基于keras和tensorflow 、Python文本挖掘/NLP实战示例、 Blackstone：面向非结构化法律文本的spaCy pipeline和NLP模型通过同义词替换实现文本“变脸” 、中文 预训练 ELECTREA 模型: 基于对抗学习 pretrain Chinese Model 、albert-chinese-ner - 用预训练语言模型ALBERT做中文NER 、基于GPT2的特定主题文本生成/文本增广、开源预训练语言模型合集、多语言句向量包、编码、标记和实现：一种可控高效的文本生成方法、 英文脏话大列表 、attnvis：GPT2、BERT等transformer语言模型注意力交互可视化、CoVoST：Facebook发布的多语种语音-文本翻译语料库，包括11种语言(法语、德语、荷兰语、俄语、西班牙语、意大利语、土耳其语、波斯语、瑞典语、蒙古语和中文)的语音、文字转录及英文译文、Jiagu自然语言处理工具 - 以BiLSTM等模型为基础，提供知识图谱关系抽取 中文分词 词性标注 命名实体识别 情感分析 新词发现 关键词 文本摘要 文本聚类等功能、用unet实现对文档表格的自动检测，表格重建、NLP事件提取文献资源列表 、 金融领域自然语言处理研究资源大列表、CLUEDatasetSearch - 中英文NLP数据集：搜索所有中文NLP数据集，附常用英文NLP数据集 、medical_NER - 中文医学知识图谱命名实体识别 、(哈佛)讲因果推理的免费书、知识图谱相关学习资料/数据集/工具资源大列表、Forte：灵活强大的自然语言处理pipeline工具集 、Python字符串相似性算法库、PyLaia：面向手写文档分析的深度学习工具包、TextFooler：针对文本分类/推理的对抗文本生成模块、Haystack：灵活、强大的可扩展问答(QA)框架、中文关键短语抽取工具


Efficient computing methods developed by Huawei Noah's Ark Lab


Simulator of QUantum Network Communication (SeQUeNCe) is an open-source tool that allows modeling of quantum networks including photonic network components, control protocols, and applications.


Julia Library for Interatomic Potentials


搜集、整理、发布 中文 自然语言处理 语料/数据集，与 有志之士 共同 促进 中文 自然语言处理 的 发展。


Vision Transformer (ViT) in PyTorch


Topology weighting by iterative sampling of sub-trees


Read, manipulate and visualize 'Pairwise mApping Format' data in R


[ECCV 2020] In-Domain GAN Inversion for Real Image Editing (PyTorch code)


An R package for computing the Standardized Precipitation-Evapotranspiration Index (SPEI), Penman-Monteith and other reference evapotranspiration, SPI, etc.


BWK awk modified for biological data


Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow


Moleculenet.ai Datasets And Splits


Experimental code for the paper 'Finding Convincing Arguments Using Scalable Bayesian Preference Learning'


MORAN: A Multi-Object Rectified Attention Network for Scene Text Recognition


KDD 2019: Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network


PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".


Models of SEIRS epidemic dynamics with extensions, including network-structured populations, testing, contact tracing, and social distancing.


allesfitter is a convenient wrapper around the packages ellc (light curve and RV models), dynesty (static and dynamic nested sampling) emcee (Markov Chain Monte Carlo sampling) and celerite (Gaussian Process models).


Python energy landscape explorer


A circuit toolkit


A tool for profiling long STRs from short reads


Machine Learning for High Energy Physics.


Project's architecture documentation


Survival analysis built on top of scikit-learn


A Static Analysis Tool for Detecting Security Vulnerabilities in Python Web Applications


Hierarchical Bayesian modeling of RLDM tasks, using R & Python


Multivariate Imputation by Chained Equations


Specify what you want it to build, the AI asks for clarification, and then builds it.


Plenum Byzantine Fault Tolerant Protocol


A pytorch-version implementation codes of paper:  "BMN: Boundary-Matching Network for Temporal Action Proposal Generation",   which is accepted in ICCV 2019.


A PyTorch implementation of Conv-TasNet described in "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" with Permutation Invariant Training (PIT).


Very fast greedy diffeomorphic registration code


Synchrotron Radiation Workshop


DocBank: A Benchmark Dataset for Document Layout Analysis


Vector Quantization, in Pytorch


ReCiter: an enterprise open source author disambiguation system for academic institutions


MMSA is a unified framework for Multimodal Sentiment Analysis.


Compute FID scores with PyTorch.


IRAF - Image Reduction and Analysis Facility


Accelerated Quality-Diversity


DSTC8 Track 1 Task 1 End-to-End Multi-Domain Dialog Challenge Result:


MATLAB toolbox for Brain-Computer Interfacing (BCI)


An automated insulin delivery app for iOS, built on LoopKit


Memkind is an easy-to-use, general-purpose allocator which helps to fully utilize various kinds of memory available in the system, including DRAM, NVDIMM, and HBM


A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation


An unofficial implementation of  'Domain Adaptive Faster R-CNN for Object Detection in the Wild ’


This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence Functions by Pang Wei Koh and Percy Liang.


Project OCELoT: an Open, Collaborative Evaluation Leaderboard of Translations


Pan-genome wide association studies


JIDT: Java Information Dynamics Toolkit for studying information-theoretic measures of computation in complex systems


A machine learning toolkit for log-based anomaly detection [ISSRE'16]


Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing


De novo genome assembler for long uncorrected reads


Energy performance and Carbon emissions Assessment and Monitoring tool (Lluís Bosch, Lluís Corominas, IWA, Wacclim project, GIZ)


A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.


Construct 1D interior structure models based on planetary properties. Self-consistent thermodynamics are used for fluid, rock, and mineral phases. Sound speeds, attenuation, and electrical conductivities are computed as outputs.


A Toolbox for Adversarial Robustness Research


Website for the MIMIC Critical Care Database (currently version MIMIC-III)


Sustainable transport planning with R


Livox horizon porting for loam


Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data


GANs with spectral normalization and projection discriminator


Computer algebra package for quantum mechanics and photonic quantum networks


Science Parse parses scientific papers (in PDF form) and returns them in structured form.


[ICCV 2023] Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation


Hybrid Asynchronous Decomposition Sampler prototype framework.


A Squeak/Smalltalk VM and Polyglot Programming Environment for the GraalVM.


:herb: 中文近义词：聊天机器人，智能问答工具包


A MNIST-like fashion product database. Benchmark :point_down:


Riemannian Adaptive Optimization Methods with pytorch optim


The code of the Open Source Spatial Electrification Tool (OnSSET)


Solves basic Russian NLP tasks, API for lower level Natasha projects


Python implementation of the rulefit algorithm


Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order of magnitude using coresets and data selection.


source{d} datasets ("big code") for source code analysis and machine learning on source code


Bergen Layered Ocean Model


A modular framework for neural networks with Euclidean symmetry


Library for specialized dense and sparse matrix operations, and deep learning primitives.


This repo includes ChatGPT prompt curation to use ChatGPT better.


OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.


Official git repository for Biopython (originally converted from CVS)


An implementation of Grad-CAM with keras


Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch


HTS-compatible wrapper for IgBlast V-(D)-J mapping tool


LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain


Transformers for Longer Sequences


A tool for visualizing alignments of reads in regions containing tandem repeats


deconstructSigs


Parallelformers: An Efficient Model Parallelization Toolkit for Deployment


Official implementation of VQ-Diffusion


A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.


PyTorch Implementation of BioBERT


This repository contains code and datasets related to entity/knowledge papers from the VERT (Versatile Entity Recognition & disambiguation Toolkit) project, by the Knowledge Computing group at Microsoft Research Asia (MSRA).


Image Completion with Deep Learning in TensorFlow


A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)


Finite Element Heat and Mass Transfer Code


SALSA: A tool to scaffold long read assemblies with Hi-C data


Library to visualize protein sequence features in javascript using D3 - From SIB CALIPHO group; neXtProt project


Core code shared by the initial ResearchKit apps.


Efficient teacher-student models and scripts to make them


The Multi-Mission Maximum Likelihood framework (3ML)


Reverse engineering and pentesting for Android applications


cloc counts blank lines, comment lines, and physical lines of source code in many programming languages.


Relax! Flux is the ML library that doesn't make you tensor


This repository contains a multi-fisheye camera SLAM. The underlying SLAM system is based on ORB-SLAM.


2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds (ECCV 2022) :fire:


Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams


Single object tracking and segmentation.


Static program analysis framework for Ethereum smart contract bytecode.


Tools for Flexible Spectroscopic Inference


Python package for automatic tree crown delineation based on the Detectron2 implementation of Mask R-CNN


Fast and accurate object detection with end-to-end GPU optimization


A rectangular pixel map manipulation and harmonic analysis library derived from Sigurd Naess' enlib.


QuPath - Bioimage analysis & digital pathology


Extract data quickly from Juicebox via straw


60 Implementations/tutorials of deep learning papers with side-by-side notes ; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...),  reinforcement learning (ppo, dqn), capsnet, distillation, ...


A curated list of awesome pipeline toolkits inspired by Awesome Sysadmin


R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object


Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)


Strategies for Pre-training Graph Neural Networks


Keras implementation of Graph Convolutional Networks


PyTorch implementation of Glow


Predict mutated T-cell epitopes from sequencing data


PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]


API to run VirtualHome, a Multi-Agent Household Simulator


Python package for process-oriented climate modeling


A general purpose, write-back block cache for Linux.


Distributed and decentralized training framework for PyTorch over graph


Juman++ (a Morphological Analyzer Toolkit)


Resources for grounding protein families and complexes from text and describing their hierarchical relationships.


We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts to initiate any meaningful PR on this repo and integrate as many LLM related technologies as possible. 我们打造了方便研究人员上手和使用大模型等微调平台，我们欢迎开源爱好者发起任何有意义的pr！


Datasets of daily time-series data related to COVID-19 for over 20,000 distinct locations around the world.


:round_pushpin: Repel overlapping text labels away from each other in your ggplot2 figures.


D-Wave Systems extension of the NetworkX Python package for graphs and graph algorithms.


Fast, flexible and easy to use probabilistic modelling in Python.


Gridpoint Statistical Interpolation


Visual Studio Code


PyTorch and TensorFlow/Keras image models with automatic weight conversions and equal API/implementations - Vision Transformer (ViT), ResNetV2, EfficientNetV2, NeRF, SegFormer, MixTransformer, (planned...) DeepLabV3+, ConvNeXtV2, YOLO, etc.


Token level embeddings from BERT model on mxnet and gluonnlp


C++ associative containers


Compiles assumptions on energy system technologies (e.g. costs and efficiencies) for various years.


The General Game Playing Base Package


A Platform for Many-Agent Reinforcement Learning


TraCeR - reconstruction of T cell receptor sequences from single-cell RNAseq data


Modelica BuildingSystems library


Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org


microbiome R package


CodeXGLUE


Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry


Apache Commons Collections


[CVPR 2021] Multi-Stage Progressive Image Restoration. SOTA results for Image deblurring, deraining, and denoising.


Markov Decision Process (MDP) Toolbox for Python


LINE: Large-scale information network embedding


Code for "CosyPose: Consistent multi-view multi-object 6D pose estimation", ECCV 2020.


Topic Modeling in Embedding Spaces


Converts medical images to more displayable formats, e.g. NIfTI to jpg.


Faster Recurrent Neural Network Language Modeling Toolkit with Noise Contrastive Estimation and Hierarchical Softmax


Voice Conversion Tool Kit


Fast BPE


Python API for the WRF-Hydro model


Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.


Compressed numerical arrays that support high-speed random access


The Arcade Learning Environment (ALE) -- a platform for AI research.


PyTorch Implementation of DARTS: Differentiable Architecture Search


Out of time: automated lip sync in the wild


Destruction and Construction Learning for Fine-grained Image Recognition


Best-fit model selection


R client for the OBIS API


SincNet is a neural architecture for efficiently processing raw audio samples.


A text generation benchmarking platform


No Coin is a tiny browser extension aiming to block coin miners such as Coinhive.


A WebGL viewer for UMAP or TSNE-clustered images


Modeling with limited data


Climate downscaling using CMIP6 data


OpenCL library to train deep convolutional neural networks


a tool for CNV discovery and genotyping from depth-of-coverage by mapped reads


Interface for using finite elements in inverse problems with complex domains


A compiler and scene generator for the Scenic scenario description language.


MAterials Simulation Toolkit for Machine Learning (MAST-ML)


An open-source Python package for creating fast and accurate interatomic potentials.


Repository for the Parallel Ice Sheet Model (PISM)


:microscope: :leo: Bacterial ribosomal RNA predictor


RNN based Time-series Anomaly detector model implemented in Pytorch.


classify, merge, tracking and annotation of GFF files by comparing to a reference annotation GFF


CarveMe: genome-scale metabolic model reconstruction


Natural Language Toolkit for Indic Languages aims to provide out of the box support for various NLP tasks that an application developer might need


InferSent sentence embeddings


Repository for nvCOMP docs and examples. nvCOMP is a library for fast lossless compression/decompression on the GPU that can be downloaded from https://developer.nvidia.com/nvcomp.


Finding duplicate images made easy!


Unsupervised text tokenizer for Neural Network-based text generation.


Suspicious DGA from PDNS and Sandbox.


A fully featured, pythonic library for representing and using quaternions


A Web API that provides a family of lightweight interfaces for accessing Environmental Data resources.


General purpose algebraic metaprogramming and symbolic computation library for the Julia programming language: E-Graphs & equality saturation, term rewriting and more.


Bayesian haplotype-based genetic polymorphism discovery and genotyping.


Fast CLI DNS Lookup Tool


A transparent, highly scalable and cryptographically verifiable data store.


The Classical Language Toolkit


Implementation of "Strong-Weak Distribution Alignment for Adaptive Object Detection"


Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"


BiLSTM-CNN-CRF architecture for sequence tagging


Phrase-Based & Neural Unsupervised Machine Translation


Asynchronous Methods for Deep Reinforcement Learning


Implementation of AudioLM, a SOTA Language Modeling Approach to Audio Generation out of Google Research, in Pytorch


Dense Passage Retriever - is a set of tools and models for open domain Q&A task.


Framework for Easily Invertible Architectures


Scala 2 compiler and standard library. Bugs at https://github.com/scala/bug; Scala 3 at https://github.com/lampepfl/dotty


SecLists is the security tester's companion. It's a collection of multiple types of lists used during security assessments, collected in one place. List types include usernames, passwords, URLs, sensitive data patterns, fuzzing payloads, web shells, and many more.


FoLiA Linguistic Annotation Tool -- Flat is a web-based linguistic annotation environment based around the FoLiA format (http://proycon.github.io/folia), a rich XML-based format for linguistic annotation. Flat allows users to view annotated FoLiA documents and enrich these documents with new annotations, a wide variety of linguistic annotation types is supported through the FoLiA paradigm.


[CVPR2021, PAMI2023] End-to-End Object Detection with Learnable Proposal


fit piecewise linear data for a specified number of line segments


Provides analysis for the MPAS components of E3SM


Containerized radio interferometry scripting framework -- NB: Classic version is no longer in active development, use stimela 2! See README for details.


Measure and Optimize Web Performance


Anything can happen in the next half hour (including spectral timing made easy)!


TorchCV: a PyTorch vision library mimics ChainerCV


LSUN Dataset Documentation and Demo Code


PyTorch implementation of UNet++ (Nested U-Net).


BiLSTM-CNN-CRF architecture for sequence tagging using ELMo representations.


Code for using and evaluating SpanBERT.


Using two stream architecture to implement a classic action recognition method on UCF101 dataset


Komondor Wireless Networks Simulator


Open Charge Map is the global public registry of electric vehicle charging locations. Established 2011. Help wanted.


:honeybee: A python library to create, run and visualize radiance studies. Core library of Honeybee[+].


Parallel t-SNE implementation with Python and Torch wrappers.


Collaboration between BBP and AIBS


Python implementations of the Boruta all-relevant feature selection method.


FOQUS: Framework for Optimization and Quantification of Uncertainty and Surrogates


Code for 10.1021/acscentsci.7b00572, now running on Keras 2.0 and Tensorflow


Unsupervised Semantic Segmentation by Distilling Feature Correspondences


Data, metadata, and software tools for the COSORE database of continuous soil respiration measurements


Bolt is a deep learning library with high performance and heterogeneous flexibility.


ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab


Collection of reinforcement learning algorithms


Automatic Analysis (aa)


An open source framework for seq2seq models in PyTorch.


Track commercial fishing activity worldwide on the free, user-friendly, interactive Global Fishing Watch map.


Chaos testing, network emulation, and stress testing tool for containers


A Julia package for data clustering


A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.


A scalable SCENIC workflow for single-cell gene regulatory network analysis


Modular Open Source Fitter for Transients


CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)


Model reduction library with an emphasis on large scale parallelism and linear subspace methods


Code for the paper Progressive Pose Attention for Person Image Generation in CVPR19 (Oral).


Causal Mixture Model for GWAS summary statistics


X-PSI: X-ray Pulse Simulation and Inference


Code for building ConceptNet from raw data.


Estimate Realtime Case Counts and Time-varying Epidemiological Parameters


Non-uniform fast Fourier transform library of types 1,2,3 in dimensions 1,2,3


ChirpStack Network Server is an open-source LoRaWAN network-server.


A Python package to create, run, and post-process MODFLOW-based models.


A Change Detection Repo Standing on the Shoulders of Giants


PyDictionary is a Dictionary Module for Python 2/3 to get meanings, translations, synonyms and antonyms of words


R package for microbiome biomarker discovery


A toolbox of scene text super-resolution and recognition


tiktoken is a fast BPE tokeniser for use with OpenAI's models.


Database with posteriors of interest for Bayesian inference


Inclusive model of expression dynamics with conventional or metabolic labeling based scRNA-seq / multiomics, vector field reconstruction and differential geometry analyses


Reinforcement Learning environments based on the 1993 game Doom :godmode:


A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning


Coronavirus COVID-19 (2019-nCoV) Data Repository and Dashboard for South Africa


Detect doublets in single-cell RNA-seq data


Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"


Automatic White Matter Bundle Segmentation


[ICCV 2023 Oral] Text-to-Image Diffusion Models are Zero-Shot Video Generators


中文自然语言处理工具包 Toolkit for Chinese natural language processing


Multicycles.org aggregates on one map, more than 300 share vehicles like bikes, scooters, mopeds and cars. Demo APP for the Data Flow API, see https://flow.fluctuo.com


Public facing deeplift repo


An R package for adaptive shrinkage


Projection predictive variable selection


RINA implementation for OS/Linux


Read, modify and write DICOM files with python code


TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.


OpenPose's Unity Plugin for Unity users


CRF++: Yet Another CRF toolkit


Python library for processing Chinese text


Code release for Local Light Field Fusion at SIGGRAPH 2019


A symbolic testing tool for EVM smart contracts


Jetstream compatible workflow template supporting comprehensive analysis of human sequencing data against GRCh38


A Simple and Versatile Framework for Object Detection and Instance Recognition


Nested Sampling post-processing and plotting


Easy-to-use LLM fine-tuning framework (LLaMA, BLOOM, Mistral, Baichuan, Qwen, ChatGLM)


A lightning fast Finite State machine and REgular expression manipulation library.


【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.


RAJA Performance Suite


High-accuracy NLP parser with models for 11 languages.


Automatically exported from code.google.com/p/word2vec


DRAGEN open-source mapper


NCrystal : a library for thermal neutron transport in crystals and other materials


Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)


ENCODE ChIP-seq pipeline


Fast and flexible Gaussian Process regression in Python


small mammals brain MRI


Download and visualize single or multiple classes from the huge Open Images v4 dataset


all kinds of text classification models and more with deep learning


OSeMOSYS - the Open Source Energy Modelling System


Solax Inverter API Wrapper


Satip contains the code necessary for retrieving, transforming and storing EUMETSAT data


This is a fork of the Cooja network simulator from contiki-os/contiki


Overlay Network for distributed protocols


Natural Gradient Boosting for Probabilistic Prediction


SOS IROS 2018 GOOGLE; StereoNet ECCV2018 GOOGLE;  ActiveStereoNet ECCV2018 Oral GOOGLE; HITNET CVPR2021 GOOGLE；PLUME Uber ATG


Python Pushshift.io API Wrapper (for comment/submission search)


Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA


RIVET is a tool for Topological Data Analysis, in particular two-parameter persistent homology.


Evaluation functions for music/audio information retrieval/signal processing algorithms.


GalSim based Rubin Observatory image simulation package


Sample benchmark files for Hyperledger Caliper https://wiki.hyperledger.org/display/caliper


Loss modelling framework.


Open Source Neural Machine Translation in Torch (deprecated)


A fast compressor/decompressor


Collection of common code that's shared among different research projects in FAIR computer vision team.


NL-Augmenter  →  A Collaborative Repository of Natural Language Transformations


Instance-aware Semantic Segmentation via Multi-task Network Cascades


Visualise RNA secondary structure in consistent, reproducible and recognisable layouts


A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.


Solar thermal power/fuel station performance simulation and optimisation using Modelica. Read a paper about our project: https://is.gd/solth


Python package for multivariate hypothesis testing


POT : Python Optimal Transport


Differentiable convex optimization layers


IDS data for CJK Unified Ideographs


The author's officially unofficial PyTorch BigGAN implementation.


A tool to identify CLIP-seq peaks


Protein-Ligand Benchmark Dataset for Free Energy Calculations


DBpedia Spotlight is a tool for automatically annotating mentions of DBpedia resources in text.


WashU Epigenome Browser


Python IRF builder


ECDH and ECDSA for 8-bit, 32-bit, and 64-bit processors.


Powerful Python tool to analyze PDF documents


Recovering genes from targeted sequence capture data


a fast and user-friendly runtime for transformer inference (Bert, Albert, GPT2, Decoders, etc) on CPU and GPU.


Python/C++ library for distribution power system analysis


Redshift fitting for spectroperfectionism


CogniCrypt_SAST: CrySL-to-Static Analysis Compiler


Heritrix is the Internet Archive's open-source, extensible, web-scale, archival-quality web crawler project.


Genome-wide Efficient Mixed Model Association


fast BAM/CRAM depth calculation for WGS, exome, or targeted sequencing


SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.


Cyclops Tensor Framework: parallel arithmetic on multidimensional arrays


The Earth System Modeling Framework (ESMF) is a suite of software tools for developing high-performance, multi-component Earth science modeling applications.


Dingo: Deep inference for gravitational-wave observations


[VideoChatGPT] ChatGPT with video understanding! And many more supported LMs such as miniGPT4, StableLM, and MOSS.


Full-Length Alternative Isoform analysis of RNA


torch-optimizer -- collection of optimizers for Pytorch


The Python ensemble sampling toolkit for affine-invariant MCMC


OpenMMLab Self-Supervised Learning Toolbox and Benchmark


Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai


Statistical methods for forest genetic resources analysts


Dense image captioning in Torch


Netperf is a benchmark that can be used to measure the performance of many different types of networking. It provides tests for both unidirectional throughput, and end-to-end latency.


:zap: TensorFlowASR: Almost State-of-the-art Automatic Speech Recognition in Tensorflow 2. Supported languages that can use characters or subwords


CLD3 is a neural network model for language identification.


Example models for Stan


It'll detect your anomalies! Part of the Kale stack.


SparseInst: Sparse Instance Activation for Real-Time Instance Segmentation, CVPR 2022


SQuARE: Software for question answering research.


A tool to help improve data quality standards in observational data science.


Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk


An end-to-end PyTorch framework for image and video classification


Quick mining and visualization of NGS data by integrating genomic databases


an interactive viewer for populations of bacterial genomes linked by a phylogeny


SwinIR: Image Restoration Using Swin Transformer (official repository)


Bioinformatics'2020: BioBERT: a pre-trained biomedical language representation model for biomedical text mining


GridCal, a cross-platform power systems software written in Python with user interface, used in academia and industry.


The Unofficial TikTok API Wrapper In Python


R-CNN: Regions with Convolutional Neural Network Features


Tag your nature photos with iNat taxonomy and observation metadata


Kraken taxonomic sequence classification system


Code release for "Detecting Twenty-thousand Classes using Image-level Supervision".


A multi-scale energy systems modelling framework


TinyML AI inference library


The consequences of climate change, especially the dry and hot summers, are putting a strain on Berlin's ecosystem. Our urban trees are drying out and suffering long-term damage. Gieß den Kiez is made to enable coordinated citizen participation in the irrigation of urban trees.


A permissioned implementation of Ethereum supporting data privacy


Code for the ICML 2021 (long talk) paper: "ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision"