DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.


AQUAS TF and histone ChIP-seq pipeline


Data package: renewable power plants


Original Implementation of Prompt Tuning from Lester, et al, 2021


:rainbow: :camera: Gradient-weighted Class Activation Mapping (Grad-CAM) Demo


Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)


Codes for supersymmetric lattice gauge theories


SARS-CoV-2 workflow for nanopore sequence data


R package for the joint analysis of multiple single-cell RNA-seq datasets


Repository of OHDSI Collaborative Research Protocols


:earth_americas: Verification of weather and climate forecasts :earth_africa:


A tool to map bisulfite converted sequence reads and determine cytosine methylation states


The timenorm library provides models for finding natural language expressions of dates and times and converting them to a normalized form.


A 256-RISC-V-core system with low-latency access into shared L1 memory.


C++ logic network library


Java grammar for tree-sitter


UCSC Genome Browser source tree. Stable branch: "beta".


A WGS de novo assembler based on the FMD-index for large genomes


Exploring Self-attention for Image Recognition, CVPR2020.


The code for paper "CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning"


Learning Correspondence from the Cycle-consistency of Time (CVPR 2019)


This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"


We evaluate many models used for biomedical and clinical nlp tasks, and train new models that perform much better.


Implementation of "SCL: Towards Accurate Domain Adaptive Object Detection via Gradient Detach Based Stacked Complementary Losses"


Tree-structured Long Short-Term Memory networks (http://arxiv.org/abs/1503.00075)


ScousePy


[TMI'2021] Temporal Memory Relation Network for Workflow Recognition from Surgical Video


Real-time object detection is one of the key applications of deep neural networks (DNNs) for real-world mission-critical systems. While DNN-powered object detection systems celebrate many life-enriching opportunities, they also open doors for misuse and abuse. This project presents a suite of adversarial objectness gradient attacks, coined as TOG, which can cause the state-of-the-art deep object detection networks to suffer from untargeted random attacks or even targeted attacks with three types of specificity: (1) object-vanishing, (2) object-fabrication, and (3) object-mislabeling. Apart from tailoring an adversarial perturbation for each input image, we further demonstrate TOG as a universal attack, which trains a single adversarial perturbation that can be generalized to effectively craft an unseen input with a negligible attack time cost. Also, we apply TOG as an adversarial patch attack, a form of physical attacks, showing its ability to optimize a visually confined patch filled with malicious patterns, deceiving well-trained object detectors to misbehave purposefully.


A tool for Racon polishing of miniasm assemblies


Universal Romanizer that can convert any unicode script to roman (latin) script


NLR-Annotator upload


Official Implementation of "DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization."


Efficient PyTorch Hessian eigendecomposition tools!


Official Implementation for the ICML2022 paper "Directed Acyclic Transformer for Non-Autoregressive Machine Translation"


Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"


Code for CVPR 2021 paper: Anchor-Free Person Search


Domain Generalization with MixStyle (ICLR'21)


Code and models of our arXiv paper "IPN Hand: A Video Dataset and Benchmark for Real-Time Continuous Hand Gesture Recognition"


Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems


Generative adversarial network for generating electronic health records.


[CVPR 2022] StyleSwin: Transformer-based GAN for High-resolution Image Generation


SyReNN: Symbolic Representations for Neural Networks


Pytorch implementation of set transformer


Synchrosqueezing, wavelet transforms, and time-frequency analysis in Python


Reinforcement learning with unsupervised auxiliary tasks


A library for factorization machines and polynomial networks for classification and regression in Python.


we propose EfficientDerain for high-efficiency single-image deraining


SONG (Second Order Non-Gaussianity) is a Boltzmann code that computes many observables related to the Cosmic Microwave Background and to the cosmological perturbations at second order in perturbation theory.


Open source library for Single Object Tracking in point clouds.


MTBseq is an automated pipeline for mapping, variant calling and detection of resistance mediating and phylogenetic variants from illumina whole genome sequence data of Mycobacterium tuberculosis complex isolates.


Code for the paper: Fighting Fake News: Image Splice Detection via Learned Self-Consistency


a library to measure the python energy consumption of python code


A pytorch implementation of Reading Wikipedia to Answer Open-Domain Questions.


Random Network Distillation pytorch


Bioinformatic pipeline for identifying dsDNA breaks by marker based incorporation, such as breaks induced by designer nucleases like Cas9.


McLuster - a tool to make a star cluster


Error correction for Illumina RNA-seq reads


text2vec, text to vector. 文本向量表征工具，把文本转化为向量矩阵，实现了Word2Vec、RankBM25、Sentence-BERT、CoSENT等文本表征、文本相似度计算模型，开箱即用。


SKA Radio Telescope Simulator


SCOPE is a simulation model for radiative transfer, photosynthesis and energy fluxes in vegetation and soil.


AdapterRemoval v2 - rapid adapter trimming, identification, and read merging


Python translation of MOSART-WM: a water routing and management model


open-source neutrino interaction library


PySM: Software for simulating the Galactic microwave sky


Fisher forecasting for cosmological surveys


Python-based framework for building and evaluating session-based and session-aware recommender systems.


[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs


Python3 scripts to manipulate FASTA and FASTQ files


A docker image for converting docker images to singularity images.


VVenC, the Fraunhofer Versatile Video Encoder


Speedy Cosmic Ray Annihilation Package in Python


AutoPhrase: Automated Phrase Mining from Massive Text Corpora


Python toolkit for characterizing Coal and Open-pit surface mining impacts on American Lands


Research and Production Oriented Speaker Recognition Toolkit


Import, manipulate and explore the results of an Antares simulation


The RAVEN Toolbox for genome scale model reconstruction, curation and analysis.


Python Financial ENGineering (PyFENG package in PyPI.org)


Distributed Deep learning with Keras & Spark


Small and highly portable detection tests based on MITRE's ATT&CK.


UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss


Ybat - YOLO BBox Annotation Tool


Pytorch implementation of paper 'GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks' to appear on WSDM2021


Creative Commons Attribution Share Alike 4.0 International

StereoSet: Measuring stereotypical bias in pretrained language models


A comprehensive list [SAMRS@NeurIPS'23, RVSA@TGRS'22, RSP@TGRS'22] of our research works related to remote sensing, including papers, codes, and citations. Note: The repo for [TGRS'22] "An Empirical Study of Remote Sensing Pretraining" has been moved to: https://github.com/ViTAE-Transformer/RSP


Code regarding to our paper "N-ary Relation Extraction using Graph State LSTM"


:hibiscus: reference-free transcriptome assembly for short and long reads


Exploring CNN and ViT for Semi-Supervised Medical Image Segmentation


source code for the paper Deep Knowledge Tracing


Neural Architecture Optimization


Contrastive Learning of Structured World Models


Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes


Official implementation of MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation (https://arxiv.org/abs/2205.09853)


A tool to extract and visualize the results of CAFE (Computational Analysis of gene Family Evolution)


Poisson pseudo-likelihood regression with multiple levels of fixed effects


GeDi: Generative Discriminator Guided Sequence Generation


Python implementation of performance metrics in Loizou's Speech Enhancement book


Goodness-of-fit functions for comparison of simulated and observed hydrological time series


A metric for Perceptual Image-Error Assessment through Pairwise Preference (PieAPP at CVPR 2018).


Code to support training, evaluating and interacting neural network dialog models, and training them with reinforcement learning. Code to deploy a web server which hosts the models live online is available at: https://github.com/asmadotgh/neural_chat_web


Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks


Surrogate Optimization Toolbox for Python


Fast SHAP value computation for interpreting tree-based models


Audio super resolution using neural networks


Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch


MeerKAT calibration and imaging scripts


Non-parametric Entropy Estimation Toolbox


zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.


CFD-DEM Solver with emphasis on sediment transport


The FlexFringe tool for flexible learning of state machines (deterministic automata) from traces. See the paper at https://arxiv.org/abs/2203.16331


A CVXPY extension for convex-concave programming


Transition-based UCCA Parser


Credici: Credal Inference for Causal Inference


Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"


MiniFE Finite Element Mini-Application


Repository for EcoSimR, by Gotelli, N.J. , Hart E. M. and A.M. Ellison. 2014. EcoSimR 0.1.0


python Generator of REnewable Time series and mAps


H2Lib public repository


A wrapper around Cutadapt and FastQC to consistently apply adapter and quality trimming to FastQ files, with extra functionality for RRBS data


Convert a PDDL domain into an OpenAI Gym environment.


An Open-Source Package for Network Embedding (NE)


High-quality Nanopore-only genome polisher


oneAPI Collective Communications Library (oneCCL)


Bayesian Atmospheric Radiative Transfer fitting code


Complete Matlab pipeline for large scale calcium imaging data analysis


IBM Analog Hardware Acceleration Kit


Heavily optimized library for DEFLATE/zlib/gzip compression and decompression


Open-Source Neural Machine Translation in Tensorflow


Arnold - DOOM Agent


MuTect -- Accurate and sensitive cancer mutation detection


A MATLAB toolbox for iPPG analysis.  The toolbox includes implementations of commonly used methods.


[TMI'20, AAAI'19] Synergistic Image and Feature Adaptation


Code for CVPR 2022 paper "Multi-Class Token Transformer for Weakly Supervised Semantic Segmentation"


FASTA/FASTQ pre-processing programs


The dataset for EMSE-DeepCom


R Package for Aligned Rank Transform for Nonparametric Factorial ANOVAs


A Tensorflow implementation of the Text Conditioned Auxiliary Classifier Generative Adversarial Network for Generating Images from text descriptions (https://arxiv.org/abs/1703.06412)


PyTorch Code of NAACL 2019 paper "Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout"


Python library & examples for Masked Language Model Scoring (ACL 2020)


Official PyTorch implementation of "Improving Generative Imagination in Object-Centric World Models"


A Corpus for Multilingual Document Classification in Eight Languages.


Code for NAACL 2019 paper: Distant Supervision Relation Extraction with Intra-Bag and Inter-Bag Attentions


Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)


Code for the NeurIPS 2019 paper: Topology-Preserving Deep Image Segmentation


Twissandra is an example project, created to learn and demonstrate how to use Cassandra. Running the project will present a website that has similar functionality to Twitter.


DSOD: Learning Deeply Supervised Object Detectors from Scratch. In ICCV 2017.


Neural Adobe-UCSD Parser, the current State of the Art in Constituency and Dependency Parsing.


This repository provides a reference implementation of struc2vec.


TensorFlow implementations of Graph Neural Networks


The official repo of NBC & SpatialNet for multichannel speech separation, denoising, and dereverberation


Compare neural networks by their feature similarity


Connected components on discrete and continuous multilabel 3D & 2D images. Handles 26, 18, and 6 connected variants.


Graph-based and Transition-based dependency parsers based on BiLSTMs


DialoGLUE: A Natural Language Understanding Benchmark for Task-Oriented Dialogue


CASCADE Server


Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.


GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020


[ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation


Image processing software for CODEX: driftcompensation, deconvolution, uploading and segmentation


PyTorch implementation of a 1.3B text-to-image generation model trained on 14 million image-text pairs


Module for generating simulated quasar spectra


Same species annotation lift over pipeline.


sGDML - Reference implementation of the Symmetric Gradient Domain Machine Learning model


DES image simulation software: We dug too deeply and too greedily


The stochastic collision risk model toolbox


This is a Genome Annotation Framework developed with the goal of annotating VCF files (Exomes or Genomes) from patients with Mendelian Disorders.


A Python toolkit of the BOP benchmark for 6D object pose estimation.


Russian GPT3 models.


Locus and lineage tests for bacterial GWAS


Patterns and behaviors for GPU computing


Combine images made with different resolutions, including the "feathering" technique for interferometry data.


Scans genome contigs against the ResFinder, PlasmidFinder, and PointFinder databases.


[ICRA 2022] An opensource framework for cooperative detection. Official implementation for OPV2V.


Official codebase used to develop Vision Transformer, SigLIP, MLP-Mixer, LiT and more.


automated photometry pipeline for small to medium-sized observatories


A python library that implements a number of Privacy Enhancing Technolgies


A Hearthstone: Heroes of WarCraft Simulator for the purposes of Machine Learning and Data Mining


OPEM (Open Source PEM Fuel Cell Simulation Tool)


Community Emissions Data System (CEDS)


A toolkit for tools and techniques related to the privacy and compliance of AI models.


QPanda 2 is an open source quantum computing framework developed by  OriginQC that can be used to build, run, and optimize quantum algorithms.


Multi-sample somatic variant caller


Automagic


Multitask Environments for RL


Forest is a library for analyzing smartphone-based high-throughput digital phenotyping data


A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.


Easily build, customize and control your own LLMs


Dynamic Nested Sampling package for computing Bayesian posteriors and evidences


Reverse engineered ChatGPT API


Ripser: efficient computation of Vietoris–Rips persistence barcodes


Include MuCAN, LAPAR, etc.


ManTra-Net: Manipulation Tracing Network For Detection And Localization of Image Forgeries With Anomalous Features


Targeted Adversarial Examples on Speech-to-Text systems


PyTorch implementation of "WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation", CVPR 2017


Filter SAM file for soft and hard clipped alignments


Fast Differentiable Sorting and Ranking


Code for "Black-box Adversarial Attacks with Limited Queries and Information" (http://arxiv.org/abs/1804.08598)


BioModelos is a collaborative online system to map species distributions. This repository stores functions to automate the construction of Species Distribution Models (SDM) from databases gathered, managed and curated by The Alexander Von Humboldt Institute and a network of experts in order to be evaluated and refined.


The CIS OCR PostCorrectionTool


SampleRNN: An Unconditional End-to-End Neural Audio Generation Model


Chinese NER using Lattice LSTM. Code for ACL 2018 paper.


Miscellaneous functions for metagenomic analysis.


Action Recognition Toolbox for CUHK&ETHZ&SIAT submission to ActivityNet 2016


Code for Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data, ICCV 2019


[CVPR 2021] Rank 1st in the public leaderboard of SemanticKITTI Panoptic Segmentation (2020-11-16)


An extractive neural network text summarization library for the EMNLP 2018 paper "Content Selection in Deep Learning Models of Summarization" (https://arxiv.org/abs/1810.12343).


CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning


ASVspoof 2021 Baseline Systems


Contriever: Unsupervised Dense Information Retrieval with Contrastive Learning


Automated shot detection software


A library for performing constrained optimization in TensorFlow


A python  binding of Dart, an open source simulation package


Fast and accurate gene fusion detection from RNA-Seq data


DTW (Dynamic Time Warping) python module


indicTranslate v1 - Machine Translation for 11 Indic languages. For latest v2, check: https://github.com/AI4Bharat/IndicTrans2


CLI tool for flexible and fast adaptive sampling on ONT sequencers


A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).


AGDISTIS - Agnostic Named Entity Disambiguation


Accelerated finite element flow solvers


Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.


Creating heat and power demand profiles from annual values.


Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple


Galaxy RNA workbench


This library provides a framework for working with large timeseries data from wind plants, such as SCADA. Its development has been motivated by the WP3 Benchmarking (PRUF) project, which aims to provide a reference implementation for plant-level performance assessment.


Python library and CLI tool to interface with Google Translate's text-to-speech API


A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility


Simple and easily configurable grid world environments for reinforcement learning


A masked language modeling objective to train a model to predict any subset of the target words, conditioned on both the input text and a partially masked target translation.


This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 2020


Python scripts for matching output of Pacific Biosciences IsoSeq RNA-seq pipeline to an annotation file.


Implementation of WaveGrad high-fidelity vocoder from Google Brain in PyTorch.


Collection of scripts for bacterial genomics


Implementation of End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures in ACL2016.


Representation learning on dynamic graphs using self-attention networks


Tensorflow-DenseNet with ImageNet Pretrained Models


Meta Learning for Semi-Supervised Few-Shot Classification


Implementation for paper: Causal Intervention for Weakly-Supervised Semantic Segmentation


1st place solution


Mutual information estimators and benchmark


[CVPR'19] Dataset and code used in the research project Scan2CAD: Learning CAD Model Alignment in RGB-D Scans


Gene prediction software


BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences


An Official Repo of CVPR '20 "MSeg: A Composite Dataset for Multi-Domain Segmentation"


VirFinder: a novel k-mer based tool for identifying viral sequences from assembled metagenomic data


Diverse Branch Block: Building a Convolution as an Inception-like Unit


software package for integrative genetic association analysis


R package for detecting doublets in single-cell RNA sequencing data


Optimal Transport Dataset Distance


Import qiime2 artifacts to R


Creative Commons Attribution 4.0 International

Official repository of the German Radiological Society's working group on radiological reporting templates.


WordNet-LMF formats


⚡ zeus: Lightning Fast MCMC ⚡


LUKE -- Language Understanding with Knowledge-based Embeddings


The Simplest DCGAN Implementation


A code to fit the spectrum of quasar


Deep Learning Toolkit for Medical Image Analysis


Probabilistic Torch is library for deep generative models that extends PyTorch


An easy to use immersed boundary method in 2D, with full implementations in MATLAB and Python that contains over 60 built-in examples, including multiple options for fiber-structure models and advection-diffusion, Boussinesq approximations, and/or artificial forcing.


Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx


Train a deep learning net with OpenStreetMap features and satellite imagery.


CoLoRe - Cosmological Lofty Realizations


Climate data for ForestGEO sites


Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).


KaHIP -- Karlsruhe HIGH Quality Partitioning.


Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)


Semi-supervised learning for peptide identification from shotgun proteomics datasets


A scalable, resilient and model agnostic federated learning framework.


Contains the REMIND-specific routines for data and model output manipulation.


Keras implementation of Representation Learning with Contrastive Predictive Coding


This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.


OV²SLAM is a Fully Online and Versatile Visual SLAM for Real-Time Applications


Code for our CVPR 2021 Paper "Self-Supervised Learning for Semi-Supervised Temporal Action Proposal".


MatConvNet and Caffe repo with compact bilinear and bilinear pooling functionality added


Pytorch code for ICRA'22 paper: "Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation"


2019-SOTA简繁中文拼写检查工具：FASPell Chinese Spell Checker (Chinese Spell Check / 中文拼写检错 / 中文拼写纠错 / 中文拼写检查)


Semi-supervised learning for object detection


An ultra-fast tool for identification of SARS-CoV-2 and other microbes from sequencing data. This tool can be used to detect viral infectious diseases, like COVID-19.


Graphonomy: Universal Human Parsing via Graph Transfer Learning


Implementation of "Glancing Transformer for Non-Autoregressive Neural Machine Translation"


Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks


Module for measuring feature dependence for black-box models


Autoregressive Entity Retrieval


Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.


Land Ice Verification & Validation Toolkit


Generate synthetic data that simulate a given dataset.


Q-Force: Quantum mechanically augmented molecular force fields


The Free Evaluation System Framework (FreVa)


LaTeX source for the paper "On Evaluating Adversarial Robustness"


Transit and Radial velocity Interactive Fitting tool for Orbital analysis and N-body simulations: The Exo-Striker


A Satellite Time Series Dataset for Crop Type Identification


Interfacing RDKit and AutoDock


Software to Manipulate Different Flavors of Semantic Graphs


Code for the AED2 water quality / ecology library


The open source Vue.js frontend (mobile and cordova app) for the argentinian carpooling application: Carpoolear


PyTorch implementation of FastSurferCNN


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


Python implementation of TextRank algorithms ("textgraphs") for phrase extraction


A collaborative software to download the energy database Marktstammdatenregister (MaStR)


An autoML framework & toolkit for machine learning on graphs.


An Open-Source Package for Neural Relation Extraction (NRE)


Massively multilingual pronunciation mining


Feature flippers.


A Python wrapper for Google Tesseract


Curated list of open-source quantum software projects.


AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting


The Machine Learning Optimizer


Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020


Variational autoencoders for collaborative filtering


Seeking information like heteroplasmy, structure variants, etc. on  Mitochondrial genome from next generation sequencing


Formally-verified reference monitor for a secure isolated execution ("enclave") environment on ARM TrustZone


Implementation for Simple Spectral Graph Convolution in ICLR 2021


Yet another k-mer analyzer


Turkish BERT/DistilBERT, ELECTRA and ConvBERT models


Auto-encoding & Generating 3D  Point-Clouds.


The toolkit for scene graph generation


ISO peak load forecasting application


Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily configured and run with Hydra config ▸ Inspired by disentanglement_lib


GRTensorIII package for Maple


Facenet implementation by Keras2


百度开源的依存句法分析系统


Circle plot with bundled edges


Visualization of NBA games from raw SportVU data logs


[CVPR2023] The official repo for OC-SORT: Observation-Centric SORT on video Multi-Object Tracking. OC-SORT is simple, online and robust to occlusion/non-linear motion.


C++ implementation of the Brown word clustering algorithm.


End-to-end learning of deep visual representations for image retrieval


Path diagrams and visual analysis of various SEM packages' output


Pure Python, MIT-licensed implementation of nested sampling algorithms for evaluating Bayesian evidence.


Simulation of detector networks with Fisher-matrix PE


[CVPR 2023] Official Implementation of X-Decoder for generalized decoding for pixel, image and language


Train Gradient Boosting models that are both high-performance *and* Fair!


Automated deep learning algorithms implemented in PyTorch.


Analysis of initial value ODE solvers


ACM Multimedia2020 University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization :helicopter: annotates 1652 buildings in 72 universities around the world.


Tools for manipulating biological data, particularly multiple sequence alignments


Bifacial PV View Factor model for system performance calculation


An updated pipeline for pangenome investigation


VerifAI is a software toolkit for the formal design and analysis of systems that include artificial intelligence (AI) and machine learning (ML) components.


Find, circularise and annotate mitogenome from PacBio assemblies


An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)


Not HDF5


10 differentiable physical simulators built with Taichi differentiable programming (DiffTaichi, ICLR 2020)


int8_t and int16_t matrix multiply based on https://arxiv.org/abs/1705.01991


A PyTorch-based library for semi-supervised learning (NeurIPS'21)


Japanese morphological analysis engine written in pure Python


Reinforcement learning algorithms for robot control tasks


ruptures: change point detection in Python


Open Source Car Control


uBlock Origin - An efficient blocker for Chromium and Firefox. Fast and lean.


Everything about MetaCLIP: curation/training code, metadata, distribution and pre-trained models.


ICLR21 Tent: Fully Test-Time Adaptation by Entropy Minimization


Locating and editing factual associations in GPT (NeurIPS 2022)


Code for reproducing f-AnoGAN training and anomaly scoring


A framework to learn cross-lingual word embedding mappings


View synthesis for the public.


[ICCV 2021] Instances as Queries


Portuguese pre-trained BERT models


Bayesian X-ray analysis (nested sampling for Xspec and Sherpa)


Fast Wilcoxon and auROC


Geoanalytics for climate and disaster risk screening


Assignments for CS294-112.


Automated 3D brain registration with support for multiple species and atlases.


Multiple paper open-source codes of the Microsoft Research Asia DKI group


Statistical climate downscaling in Python


An open source python package for implementing and developing standard methods for calculating normalized metered energy consumption and avoided energy use.


A small, fast, JavaScript-based JavaScript parser


A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.


ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models (ICCV 2021 Oral)


Explainability for Vision Transformers


Tool for the extraction and mapping of photovoltaics modules from IR drone videos of utility-scale PV plants (my PhD project)


Code for the paper "High Speed and High Dynamic Range Video with an Event Camera" (T-PAMI, 2019).


Hyperbolic Graph Convolutional Networks in PyTorch.


A lightweight suffix-sorting library


Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet


Code clone detection; clone-related bug detection; sematic clone analysis


Calculate the ET-SCI climate extremes indices


Python interface to RADEX


GTEx & TOPMed data production and analysis pipelines


Lattice light-sheet post-processing utility.


pyOSOAA is a python interface for the Ocean Successive Orders with Atmosphere - Advanced (OSOAA) radiative transfer.


Likelihood-free inference toolbox.


OpenAI CLIP text encoders for multiple languages!


Fast and Accurate One-Stage Space-Time Video Super-Resolution (accepted in CVPR 2020)


CheXpert NLP tool to extract observations from radiology reports.


The SP800-90B_EntropyAssessment C++package implements the min-entropy assessment methods included in Special Publication 800-90B.


Theano-based implementation of Deep Q-learning


This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpretable Image Recognition" (to appear at NeurIPS 2019), by Chaofan Chen* (Duke University), Oscar Li* (Duke University), Chaofan Tao (Duke University), Alina Jade Barnett (Duke University), Jonathan Su (MIT Lincoln Laboratory), and Cynthia Rudin (Duke University) (* denotes equal contribution).


BLEURT is a metric for Natural Language Generation based on transfer learning.


An open source drift diffusion code based in MATLAB for simulating semiconductor devices with mixed ionic-electronic conducting materials.


CaDiCaL SAT Solver


Fast method for inferring cancer clonal population structure from SNV data.


multilabel classification of EHR notes


DockQ is a single continuous quality measure for protein docked models based on the CAPRI evaluation protocol


Inferring and Executing Programs for Visual Reasoning


TIMES-Ireland Model (TIM)


pycoQC computes metrics and generates Interactive QC plots from the sequencing summary report generated by Oxford Nanopore technologies basecaller (Albacore/Guppy)


Holistically-Attracted Wireframe Parsing [TPAMI'23] & [CVPR' 20]


ANI-1 neural net potential with python interface (ASE)


SHallow shOtGUN profiler


Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.


Collection of most color palettes in a single R package


Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).


R package to simulate neutral landscape models


:chart_with_upwards_trend:SeqPlots - An interactive tool for visualizing NGS signals and sequence motif densities along genomic features using average plots and heatmaps.


GTDB-Tk: a toolkit for assigning objective taxonomic classifications to bacterial and archaeal genomes.


Raspberry Pi Based Energy Monitor. Hardware, Firmware & related software for the PI.


PyTorch implementation of Deformable ConvNets v2 (Modulated Deformable Convolution)


Replicating "Asynchronous Methods for Deep Reinforcement Learning" (http://arxiv.org/abs/1602.01783)


Accurate and robust  imputation of scRNA-seq data


Knowledge Distillation: CVPR2020 Oral, Revisiting Knowledge Distillation via Label Smoothing Regularization


TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution, CVPR 2020


Info and sample codes for "NTU RGB+D Action Recognition Dataset"


An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.


(m)6A (I)dentification Using (N)anopor(E) (S)equencing


A tensorflow implementation of RippleNet


TensorFlow/Keras implementation of "Universal Style Transfer via Feature Transforms" from https://arxiv.org/abs/1705.08086


Tools for accessing and maintaining the iTEM model & historical databases


Mostly deprecated. See https://github.com/PacificBiosciences/FALCON_unzip/wiki/Binaries


Select primer sets for selective whole genome amplification (SWGA)


UDPipe: Trainable pipeline for tokenizing, tagging, lemmatizing and parsing Universal Treebanks and other CoNLL-U files


Framework for fine-tuning pretrained transformers for Named-Entity Recognition (NER) tasks


A computational toolkit in R for the integration, exploration, and analysis of high-dimensional single-cell cytometry and imaging data.


Python Implementation and Extension of RDF2Vec


In defence of metric learning for speaker recognition


Neologism dictionary based on the language resources on the Web for mecab-ipadic


Code for modelling estimated deaths and cases for COVID19.


extract and tweak data from electrochemical tests of cells


The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.


Python tools to access and analyse NuGrid output data (including from MESA)


Gym Electric Motor (GEM): An OpenAI Gym Environment for Electric Motors


Ongoing analysis of COVID-19 using Galaxy, BioConda and public research infrastructures


Fast and flexible reference benchmarks


Yet another static code analyzer for malicious Android applications


This Repostory contains the pretrained DTLN-aec model for real-time acoustic echo cancellation.


A Mashup Interface for Text Analysis Operations


A tensorflow implementation of DKN (Deep Knowledge-aware Network for News Recommendation)


Source code for TKDE 2018 "Heterogeneous information network embedding for recommendation"


Use deep learning to generate and harmonize music in the style of Bach


RaGOO is no longer supported. Please use RagTag instead: https://github.com/malonge/RagTag


Unsupervised Feature Learning via Non-parametric Instance Discrimination


Visibility sampler


A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs, VLDB 2020


A Type-1 Diabetes simulator implemented in Python for Reinforcement Learning purpose


Visual Question Answering in Pytorch


Material del curso de Sistemas Recomendadores IIC3633 PUC Chile


AEC Challenge


Official implementation of the paper "You Only Need Adversarial Supervision for Semantic Image Synthesis" (ICLR 2021)


Open-Source Machine Translation Quality Estimation in PyTorch


:rocket: A sequencing simulator


NequIP is a code for building E(3)-equivariant interatomic potentials


defacing utility for MRI images


ImageD11 is a python code for identifying individual grains in spotty area detector X-ray diffraction images.


Analysis of Factorial EXperiments (R package)


ESP8266 WiFi for OpenEVSE Version 2.x


Single cell perturbation prediction


a CLI that provides a generic automation layer for assessing the security of ML models


Neural SPARQL Machines for Knowledge Graph Question Answering.


Beta-RecSys: Build, Evaluate and Tune Automated Recommender Systems


A collection of tools for painting super-resolution images


A Japanese Tokenizer for Business


TF MOtif Discovery from Importance SCOres


FOREST - Forecast and Observation Research and Evaluation Survey Tool


QED-C: The Quantum Economic Development Consortium provides these computer programs and software for use in the fields of quantum science and engineering.


FCC software, common to FCC-hh, -ee, and -eh.


Search and download Copernicus Sentinel satellite images


Understanding Deep Networks via Extremal Perturbations and Smooth Masks


2D Helmholtz scattering and eigenvalue problems via particular solutions and integral equations


Reads simulator


Estimate recombination rates from population genetic data


build net work from skeleton image (2D-3D)


PEPPER-Margin-DeepVariant


Official Repo for Ground-aware Monocular 3D Object Detection for Autonomous Driving / YOLOStereo3D: A Step Back to 2D for Efficient Stereo 3D Detection


Automated SpectroPhotometric Image REDuction (ASPIRED)


A tensorflow implementation of Knowledge Graph Convolutional Networks


Data repository for pretrained NLP models and NLP corpora.


Censor identifiable information in videos, in particular dashcam recordings in Germany.


A fast and unsupervised algorithm for spike detection and sorting using wavelets and super-paramagnetic clustering


Multiplexed Shotgun Genotyping


Generating Vectors for DBpedia Entities via Word2Vec and Wikipedia Dumps. Questions? https://gitter.im/idio-opensource/Lobby


SPECTER: Document-level Representation Learning using Citation-informed Transformers


VGG19 and VGG16 on Tensorflow


An open-source platform for developing protein models beyond AlphaFold.


AdaSeq: An All-in-One Library for Developing State-of-the-Art Sequence Understanding Models


A PyTorch reimplementation of bottom-up-attention models


Specification and reference implementation of the TCN Protocol for decentralized, privacy-preserving contact tracing.


Automatically exported from code.google.com/p/byte-unixbench


MATLAB application for fNIRS data processing and visualization


Interface to the Global Biodiversity Information Facility API


Accurate Neural Network Potential on PyTorch


A single molecule sequence assembler for genomes large and small.


SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.


OCR for DjVu


Official Implement of ICCV 2019 oral paper Bayesian Loss for Crowd Count Estimation with Point Supervision


Code to obtain the CNN / Daily Mail dataset (non-anonymized) for summarization


Publication-quality sequence logos in R


A pytorch reimplementation of CheXNet


ACL 2022: BRIO: Bringing Order to Abstractive Summarization


(CVPR'20 Oral) Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild


PyTorch code of my ICDAR 2021 paper Vision Transformer for Fast and Efficient Scene Text Recognition (ViTSTR)


Pytorch implementation of Center Loss


Code for the paper "Evaluating Large Language Models Trained on Code"


Public release of the TransCoder research project https://arxiv.org/pdf/2006.03511.pdf


Command line C++ and Python VSTi Host library with MFCC, FFT, RMS and audio extraction and .wav writing.


Fully Convolutional DenseNets for semantic segmentation.


Rigorous computation of the endomorphism ring of a Jacobian


Collection of functions and jupyter notebooks to partially automate running a capacity test following ASTM E2848.


SEER, reimplemented in python


Named Entity Recognition (LSTM + CRF) - Tensorflow


NLP framework for JVM languages.


[NIPS2023] RRHF & Wombat


LEfSe determines the features (organisms, clades, operational taxonomic units, genes, or functions)     most likely to explain differences between classes by coupling standard tests for statistical significance with additional tests encoding     biological consistency and effect relevance.


R package to quantify and remove cell free mRNAs from droplet based scRNA-seq data


Automated Water Supply Model (AWSM) was developed at the USDA Agricultural Research Service. AWSM was designed to streamline the workflow used to forecast the water supply of multiple water basins.


GFF and GVF specification documents


This repo contains a list of the 10,000 most common English words in order of frequency, as determined by n-gram frequency analysis of the Google's Trillion Word Corpus.


Open Source EMEP/MSC-W model


A python library for Argo data beginners and experts


A bare-bones Python library for quality diversity optimization.


Python package for implementing a number of Machine Learning, Randomized Optimization and SEarch algorithms.


Contextually-keyed word vectors


Multi-Task Deep Neural Networks for Natural Language Understanding


Experimental implementation of Cubical Type Theory


A data augmentations library for audio, image, text, and video.


SHiP experiment framework based on FairRoot


AltBeacon Technical Specification


Optimus: the first large-scale pre-trained VAE language model


(CVPR 2021 Oral) Open World Object Detection


A Tensorflow implementation of RetinexNet


VorteX Clustering Environment - Java graphical tool for single-cell analysis, clustering and visualization. Latest release:


Convolutional 2D Knowledge Graph Embeddings resources


Automagically remove trends from time-series data


MARMOT - the open source framework for feature extraction and machine learning, designed to estimate the quality of Machine Translation output


SenseAct: A computational framework for developing real-world robot learning tasks


Pytorch Implementation of DeepLog.


Pytorch implementation of High-Fidelity Generative Image Compression + Routines for neural image compression


Open Academic Research on Improving LLaMA to SOTA LLM


ChiantiPy is a python package to calculate the radiative properties of astrophysical plasmas based on the CHIANTI atomic database


Open Clearing House Protocol


zUMIs: A fast and flexible pipeline to process RNA sequencing data with UMIs


Just another Hearthstone Simulator in C# .Net Core, with some A.I. approaches!


COSMIC (Compact Object Synthesis and Monte Carlo Investigation Code)


A Python package for flavour physics phenomenology in the Standard model and beyond


Caffe for Sparse and Low-rank Deep Neural Networks


light NN client


Open source tools for Estonian natural language processing


Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.


Tink is a multi-language, cross-platform, open source library that provides cryptographic APIs that are secure, easy to use correctly, and hard(er) to misuse.


A simple way to calibrate your neural network.


A tensorflow reproducing of paper “Editing Text in the wild”


Code for our ACL 2021 paper - ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer


A versatile aligning pipeline for bisulfite sequencing data


Code for reproducing key results in the paper "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"


Residual networks implementation using Keras-1.0 functional API


Kinematic and static rupture forward modeling and inversion code


Resources for the "SummEval: Re-evaluating Summarization Evaluation" paper


Baseline Systems of DuReader Dataset


Facet calibration for LOFAR


Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation.


R package hyperSpec can now be found at https://github.com/r-hyperspec/hyperSpec


This repository contains implementations of photovoltaic models to calculate electricity generation from a pv installation based on given solar radiation. Furthermore it contains all necessary pre-calculations.


The NetHack Learning Environment


A library for graph deep learning research


Official repository for "SimpleTOD: A Simple Language Model for Task-Oriented Dialogue"


KnowBert -- Knowledge Enhanced Contextual Word Representations


Social LSTM implementation in PyTorch


Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs (CVPR 2022)


[ECCV2022] MOTR: End-to-End Multiple-Object Tracking with TRansformer


gnn explainer


Ultra-faint galaxy likelihood toolkit


CMU ARK Twitter Part-of-Speech Tagger


DarkForest, the Facebook Go engine.


A repository for maintaing the fave-align and fave-extract toolkits


Recopilación de datos de COVID19 por provincias en España


genotype :: ped correspondence check, ancestry check, sex check. directly, quickly on VCF


This repository contains the results of the FAIR Metrics Group


An intake plugin for parsing an Earth System Model (ESM) catalog and loading assets into xarray datasets.


Code for Bayesian Analysis


This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.


jMetal: a framework for multi-objective optimization with metaheuristics


CoLight: Learning Network-level Cooperation for Traffic Signal Control


[ICCV-2021] TransReID: Transformer-based Object Re-Identification


Discovering Interpretable GAN Controls [NeurIPS 2020]


Distributed Retrieval Evaluation Server


VMZ: Model Zoo for Video Modeling


Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric


Draw UpSet plots with Matplotlib


An R-package designed for climate and weather data analysis, empirical-statistical downscaling, and visualisation.


Python and C library for source extraction and photometry


PyTorch deep learning models for text processing


The Composer of ggplots


Phonetisaurus G2P


Tools for working with SAM/BAM data


Filter for improving compression of typed binary data.


SwissArmyTransformer is a flexible and powerful library to develop your own Transformer variants.


Main TVB codebase


Library for validated numerics using interval arithmetic


Keras implementation of RetinaNet object detection.


VOLO: Vision Outlooker for Visual Recognition


Heterogeneous Graph Neural Network


An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks


APTnotes data


Effective Mass Calculator for Semiconductors


Smart charging algorithms with REST API for electric vehicle fleets


Tool for the detection and quantification of alternative splicing events from RNA-Seq data.


Derivation of non-thermal particle distributions through MCMC spectral fitting


A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules


Training models for basecalling Oxford Nanopore reads


Discourse Network Analyzer (DNA)


TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.


Machine Learning applied to Natural Language Processing Toolkit used in the Lisbon Machine Learning Summer School