Kernel source tree for Raspberry Pi-provided kernel builds. Issues unrelated to the linux kernel should be posted on the community forum at https://forums.raspberrypi.com/


An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.


High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)


A parallel, extensible finite element code to simulate convection in both 2D and 3D models.


Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.


Deep Learning and Reinforcement Learning Library for Scientists and Engineers


Qt Base (Core, Gui, Widgets, Network, ...)


Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams


Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.


Spoon is a metaprogramming library to analyze and transform Java source code. :spoon: is made with :heart:, :beers: and :sparkles:. It parses source files to build a well-designed AST with powerful analysis and transformation API.


A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.


A library for efficient similarity search and clustering of dense vectors.


EnergyPlus™ is a whole building energy simulation program that engineers, architects, and researchers use to model both energy consumption and water use in buildings.


Ruby on Rails


Examples and guides for using the OpenAI API


Guides, papers, lecture, notebooks and resources for prompt engineering


OpenMMLab Pre-training Toolbox and Benchmark


The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.


An open-source, low-code machine learning library in Python


VOLTTRON Distributed Control System Platform


OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic : Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.


Aleth – Ethereum C++ client, tools and libraries


Eclipse Mosquitto - An open source MQTT broker


AutoML library for deep learning


Google's Operations Research tools:


TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.


Ethereum Proof-of-Stake Consensus Specifications


Data intensive science for everyone.


Single-cell analysis in Python. Scales to >1M cells.


A framework to build power system oriented software


Command-line program to download videos from YouTube.com and other video sites


Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™


Deep Learning for humans


A C++ library for interacting with JSON.


Label Studio is a multi-type data labeling and annotation tool with standardized output format


Dash - Reinventing Cryptocurrency


Empire is a PowerShell and Python post-exploitation agent.


A Proof-oriented Programming Language


Models, data loaders and abstractions for language processing, powered by PyTorch


DAOS Storage Stack (client libraries, storage engine, control plane)


RIOT -  The friendly OS for IoT


The Object Store for AI Data Infrastructure


AMReX: Software Framework for Block Structured AMR


Multi-Agent Transport Simulation


Scientific workflow engine designed for simplicity & scalability. Trivially transition between one off use cases to massive scale production environments


Making large AI models cheaper, faster and more accessible


GoogleTest - Google Testing and Mocking Framework


Data and software for building the ACL Anthology.


An interpreter for Rust's mid-level intermediate representation


FASTJSON 2.0.x has been released, faster and more secure, recommend you upgrade.


:mag: ScanCode detects licenses, copyrights, dependencies by "scanning code" ... to discover and inventory open source and third-party packages used in your code. Sponsored by NLnet project https://nlnet.nl/project/vulnerabilitydatabase, the Google Summer of Code, Azure credits, nexB and others generous sponsors!


Connect, secure, control, and observe services.


FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/


Style and Grammar Checker for 25+ Languages


Standardized Serverless ML Inference Platform on Kubernetes


Industrial-strength Natural Language Processing (NLP) in Python


The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems


ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator


scikit-learn: machine learning in Python


General data-binding package for Jackson (2.x): works on streaming API (core) implementation(s)


ROS2 Navigation Framework and System


JavaScript player library / DASH & HLS client / MSE-EME player


Linux kernel source tree


CMS Offline Software


Kubernetes community content


A python interface for interacting with the Ethereum blockchain and ecosystem.


OpenMMLab Detection Toolbox and Benchmark


Core Lightning — Lightning Network implementation focusing on spec compliance and performance


Universal Dependencies online documentation


Yosys Open SYnthesis Suite


Spliced read mapper for RNA-Seq


Python port of Moses tokenizer, truecaser and normalizer


[NeurIPS 2021] "G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators" by Yunhui Long*, Boxin Wang*, Zhuolin Yang, Bhavya Kailkhura, Aston Zhang, Carl A. Gunter, Bo Li


Code and datasets for the paper "Deepfake Text Detection: Limitations and Opportunities"


:stuck_out_tongue_closed_eyes: TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, Korean, Chinese, German and Easy to adapt for other languages)


This tongue image data set contains 300 tongue images. All the images in the data set were acquired by our image acquisition device and the image size was 576*768. Manual segmentations were used as the ground truth.


Implementation of the segmentation task for ISIC 2017. https://arxiv.org/abs/1703.04819


BEER determines an ECC code's parity-check matrix based on the uncorrectable errors it can cause. BEER targets Hamming codes that are used for DRAM on-die ECC but can be extended to apply to other linear block codes (e.g., BCH, Reed-Solomon). BEER is described in the 2020 MICRO paper by Patel et al.: https://arxiv.org/abs/2009.07985.


NAS Parallel Benchmarks 3.0 OpenMP C version


Exploring Japanese SimCSE


Segmented anisotropic ssTEM dataset of neural tissue


code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"


NOT MY CODE! Zeus trojan horse - leaked in 2011, I am not the author. This repository is for study purposes only, do not message me about your lame hacking attempts.


Poetry Annotated with Rhyme Schemes


An object-aware diffusion model for generating chemical reactions


GEITje 7B: een groot open Nederlands taalmodel


With this package, you can generate mixed-integer linear programming (MIP) models of trained artificial neural networks (ANNs) using the rectified linear unit (ReLU) activation function. At the moment, only TensorFlow sequential models are supported. Interfaces to either the Pyomo or Gurobi modeling environments are offered.


Audio-Conditioned U-Net for Position Estimation in Full Sheet Images


Official PyTorch code for "Out-of-distribution detection with denoising diffusion models"


MNIST classification using Multi-Layer Perceptron (MLP) with 2 hidden layers. Some weight-initializers and batch-normalization are implemented.


Official PyTorch implementation of CASS, from the following paper:  CASS: Cross Architectural Self-Supervision for Medical Image Analysis. arXiv 2022.


SSRNET for hyperspectral and multispectral image fusion.


Sequence Taxonomic Assignment by Massive Pairwise Alignments


Natural Gradient, Variational Inference


Codes for the benchmark experiments in the paper "Self-supervised Learning in Remote Sensing: A Review"


Hyperspectral Super-Resolution by Coupled Spectral Unmixing


Creative Commons Attribution Share Alike 4.0 International

Structured argument extraction for Korean


Plasma waves and instabilities analysis tool, with both kinetic and multi-fluid dispersion relations.


Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models


This repository contains scripts, data and jupyter notebooks used to produce the evaluation results in the BioPhi 2021 publication


Long short-term memory Spiking Neural Networks


This repository provides the implementation of the method proposed in our paper "Pruning Deep Neural Networks using Partial Least Squares"


Experimental implementation of k-CFA and Pushdown k-CFA with optional Abstract Garbage Collection for LambdaJS and a subset of Scheme programming language


Official source code for  DDL-MVS: Depth Discontinuity Learning for MVS Networks


Unsupervised Differentiable Multi-aspect Network Embedding (asp2vec) (KDD2020)


基于深度学习的验证码破解、对抗与反对抗研究


An interpretable framework for inferring nonlinear multivariate Granger causality based on self-explaining neural networks.


Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018


"Exploring Vision Transformers for Fine-grained Classification" at CVPRW FGVC8


Pointer Networks in PyTorch


DistMap


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


A benchmarking suite for disentanglement algorithms, suited for evaluating robustness to correlated factors. Codebase for the paper "Disentanglement of Correlated Factors via Hausdorff Factorized Support" by Karsten Roth, Mark Ibrahim, Zeynep Akata, Pascal Vincent, Diane Bouchacourt.


Plug-and-play Algorithms for Large-scale Snapshot Compressive Imaging (CVPR 2020, Oral)


Methods for mapping proteomics data on 3D protein structure.


The Washington Post's analysis of NOAA climate change data for the contiguous United States


[MICCAI 2022] MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation


MATLAB codes for the 2018 arXiv paper discussing synthesis of logical Clifford operators for stabilizer codes.


Fast/non-data-aided single image highlight removal methods in MATLAB/GNU Octave


A notebook containing implementations of different graph deep node embeddings along with benchmark graph neural network models in tensorflow. This has been taken from https://www.kaggle.com/abhilash1910/nlp-workshop-ml-india-deep-graph-learning to apply GNNs/node embeddings on NLP task.


QI package for Mathematica


Scripts to handle NGS data and other biological data


Code for "Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding" ICDE 2021


Implementation for NAT.


This repository contains code for spatio-temporal deep learning on functional MRI data


Official Code for our MICCAI 2022 paper "Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation"


atyimo: probabilistic record linkage for massive administrative datasets


Software for the paper "Gender and Lexical Variation in Social Media" with David Bamman and Tyler Schnoebelen


Parameter sets for the WOFOST crop simulation model implemented in YAML


A paper list of the papers on ridesharing


[TNSRE 2023] Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation


2017 NimbRo-OP2 hardware release


The implementation for the paper "Adversarial Supervised Contrastive Learning"


Ladder Variational Autoencoders (LVAE) in PyTorch


A self-contained C++ implementation of MMA and GCMMA.


Code for our Nature Scientific Reports paper "A universal framework for accurate and efficient geometric deep learning of molecular systems"


Implementation of Gradient Origin Networks in PyTorch


Source code from the CIKM 2019 article "Gravity-Inspired Graph Autoencoders for Directed Link Prediction" by G. Salha, S. Limnios, R. Hennequin, V.A. Tran and M. Vazirgiannis


The tRNA adaptation index


Dataset for medical question summarization introduced in the ACL 2019 paper "On the Summarization of Consumer Health Questions" (A. Ben Abacha & D. Demner-Fushman)


COMM 4940: Governing Human-Algorithm Behavior


RAVEN: A Dataset for Relational and Analogical Visual rEasoNing


[TIP2020] Official Implementation of MEF-SSIMd


Code Repository for the EMCL-PKDD 2021 "Multitask Recalibrated Aggregation Network for Medical Code Prediction)


This repository contains the basic outlier detection algorithm that we use to find the weirdest SDSS galaxies.


The implementation of "Bootstrapping Semantic Segmentation with Regional Contrast" [ICLR 2022].


:package: :snake: pywda Python package for simple access to world's protected areas


The PyTorch implementation of paper SADGA: Structure-Aware Dual Graph Aggregation Network for Text-to-SQL. (NeurIPS 2021)


A dgl implementation of Jumping Knowledge Networks (arXiv 1806.03536)


Visualizations based on best open science practices.


CellRank's reproducibility repository.


Recurrent Variational Autoencoder with Dilated Convolutions that generates sequential data implemented in pytorch


Industrial datasets - datasets for evaluating industrial intrusion detection systems on IPAL.


Code for gradient rollback, which explains predictions of neural matrix factorization models, as for example used for knowledge base completion.


Implementation of the MIWAE method for deep generative modelling of incomplete data sets.


Virus metagenomic pipeline for unknown host or in absence of a host genome


Code for the paper "Neural Question Generation from Text: A Preliminary Study"


BECAUSE annotated corpus


OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation


Event network analyzer (eventnet): statistical analysis of networks of relational events.


CrossRE: A Cross-Domain Dataset for Relation Extraction (Findings of EMNLP 2022)


1st Place Solution to iWildcam 2021: Count the number of animals of each species present in a sequence of images


Venmo trasaction dataset for data analysis/visualization/anything


Regression-based multi-period difference-in-differences with heterogenous treatment effects


Code for "Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models" (ICML 2019)


Tensorflow implementation of preconditioned stochastic gradient descent


Edge server, user dataset for Edge Computing research


Adaptive multidimensional Monte Carlo integration.


Implemention of paper "“Learning a Low Tensor-train Rank for Hyperspectral Image Super-resolution" (TNNLS 2019)


VED (Vehicle Energy Dataset): A Large-scale Dataset for Vehicle Energy Consumption Research. (IEEE Transactions on Intelligent Transportation Systems, 2020)


This is the development fork - Stable code has been moved to ==>


好的CADD教程，资源总结


This is Yunshu's [Activision](https://www.activision.com/) internship project. We are interested in understanding user opinions about Activision titles on social media data. In this project, we aim to predict sentiment on Reddit data.


Project page of the paper 'Analyzing Perception-Distortion Tradeoff using Enhanced Perceptual Super-resolution Network' (ECCVW 2018)


This repository contains the description of the IEEE Signal Processing Cup 2021. Everyone is welcome to join this cup!


Matlab routines for computing the Modulation Index and Comodulogram, as described in Tort et al., J Neurophysiol 2010


MindSpore implementations of Generative Adversarial Networks.


Data and papers related to epigenetic clocks predicting age


Convolutional Neural Tangent Kernel


Compositional data analysis in Python


DNET - Power Distribution Network Evaluation Tool


code for "Delving into Probabilistic Uncertainty for Unsupervised Domain Adaptive Person Re-Identification" in AAAI2022


Simple codes and lines to process 3C/Hi-C data


This is the python implementation of Tensor-CSPNet and Graph-CSPNet.


My research paper notes, focusing on data mining/recommender/reinforcement learning. 我的论文笔记，主要聚焦于数据挖掘、推荐系统、强化学习


Datasets of X-Ray imaging for detection of COVID-19


WildFish: A Large Benchmark for Fish Recognition in the Wild


Notes on ChIP-seq and other-seq-related tools


Source code for paper: UniTS: Short-Time Fourier Inspired Neural Networks for Sensory Time Series Classification


This is the repository for the collection of software-defined satellite networks.


This repository tests various recurrent neural network architectures on baseline datasets SeqMNIST and pMNIST.


Official code release for ARTEMIS: Attention-based Retrieval with Text-Explicit Matching and Implicit Similarity (published at ICLR 2022)


SpeechGLUE is a speech version of the GLUE benchmark, driven by text-to-speech.


PyTorch implementation of over 30 realtime semantic segmentations models, e.g. BiSeNetv1, BiSeNetv2, CGNet, ContextNet, DABNet, DDRNet, EDANet, ENet, ERFNet, ESPNet, ESPNetv2, FastSCNN, ICNet, LEDNet, LinkNet, PP-LiteSeg, SegNet, ShelfNet, SwiftNet, and support knowledge distillation, distributed training etc.


Neural Distributed Image Compression using Cross-Attention Feature Alignment (NDIC-CAM) [WACV 2023]


EuroSAT: Land Use and Land Cover Classification with Sentinel-2


Fast Inference of Networks from Directed Regulations


[CVPR2019] NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction


Resources (conference/journal publications, references to dataset) for harmful memes detection.


Official Code for 'C3-STISR: Scene Text Image Super-resolution with Triple Clues' - IJCAI 2022


Code for Heaton et al (in JABES, 2018)


Online Decision Transformer


Matlab package for Tensor decompositions


Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube


Code for "M. Zhang, Z. Cui, M. Neumann, and Y. Chen, An End-to-End Deep Learning Architecture for Graph Classification, AAAI-18".


FIRECAM: Fire Inventories - Regional Evaluation, Comparison, and Metrics


Label-Efficient Detection Toolbox and Benchmark


Stochastic training of graph convolutional networks


Brain Tomur Classification Using Pre-trained Models


Implementations of data poisoning attacks against neural networks and related defenses.


A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"


Handwritten Kazakh and Russian (HKR) database for text recognition


Design platform for creating single-chain polyhedral cages made from coiled-coil building modules


This repository contains an implementation of the Batch-BKB algorithm as described in the ICML 2020 paper "Near-linear time Gaussian process optimization with adaptive batching and resparsification" by Calandriello Daniele, Luigi Carratino, Alessandro Lazaric, Michal Valko and Lorenzo Rosasco


A fuzzy Bruijn graph approach to long noisy reads assembly


Awesome Law NLP Research Work, Paper, Competition, Onlline System


PyTorch implementation of cvpr2019 paper "Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres".


Compact Matlab code for the computation of the 1- and 2-Wasserstein distances in 1D


S3D Text-Video model trained on HowTo100M using MIL-NCE


Code to run the ASEBO algorithm from the paper: From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization... please get in touch if interested!!


Provably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs


The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization (CVPR 2022)


BERT pre-training in Thai language


PLATYPOS - PLAneTarY PhOtoevaporation Simulator


Code and data of the EMNLP 2022 Main Conference paper "Reduce Catastrophic Forgetting of Dense Retrieval Training with Teleportation Negatives".


Media Forensics / Fake Detection experiments in PyTorch. Implements Fighting Fake News: Image Splice Detection via Learned Self-Consistency


The public repository about our joint FINN research project


Sparse Filtering


Fast and accurate aberration estimation from 3D bead images using convolutional neural networks


hugs: A low-surface-brightness galaxy detection pipeline


A small reinforcement learning library for my masters dissertation project


Creative Commons Attribution 4.0 International

Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.


Projecting images to latent space with StyleGAN2.


A list of datasets, tools, papers and code related to Deepfakes.


PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"


Wikipedia text corpus for self-supervised NLP model training


This repository contains PyTorch implementations of various random feature maps for dot product kernels.


AMR Eager trained on English, German, Italian, Spanish and Chinese


A curated list of resources on document similarity measures (papers, tutorials, code, ...)


Official implementation of Semantic SuperPoint (LARS-2022): https://arxiv.org/abs/2211.01098


Molecular Explanation Generator


Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".


Modular framework for property inference attacks on deep neural networks


Implementation of several Bayesian multi-target tracking algorithms, including Poisson multi-Bernoulli mixture filters for sets of targets and sets of trajectories. The repository also includes the GOSPA metric and a metric for sets of trajectories to evaluate performance.


code for generating metrics of forest vertical structure from airborne LiDAR data


MATLAB script of Independent Low-Rank Matrix Analysis (ILRMA)


Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.


A collection of LUTs for ImageJ/Fiji


Unsupervised speech enhancement using DVAEs


Repo with code for Ludii's built-in AIs.


List of datasets and papers in X-ray security images (Computer vision/Machine Learning)


It contains a curated list of awesome RISC-V Resources.


This repo in the implementation of EMNLP'21 paper "SPARQLing Database Queries from Intermediate Question Decompositions" by Irina Saparina, Anton Osokin


Library for working with 3D rotations in C++


Multi-View Operating Room (MVOR) dataset consists of synchronized multi-view frames recorded by three RGB-D cameras in a hybrid OR during real clinical interventions. We provide camera calibration parameters, color and depth frames, human bounding boxes, and 2D/3D pose annotations. The MVOR was released in the MICCAI-LABELS 2018 workshop.


The source code for SetExpan framework, published in ECML-PKDD 2017


[ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning


Python Code for Quantitative Finance Papers


Models for automatic abstractive summarization


Algorithms to recover input data from their gradient signal through a neural network


CODEC is a document and entity ranking dataset that focuses on complex essay-style topics.


Easy differential privacy in R


This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).


Classify Skin cancer from the skin lesion images using Image classification. The dataset for the project is obtained from the Kaggle SIIM-ISIC-Melanoma-Classification competition.


Multivariate Gaussian Models for Genomic and Pedigree Data


This repository contains a list of awesome literature in statistics and machine learning.


Lane detection with PaddlePaddle. PPLanedet contains many SOTA methods, e.g. CondLaneNet, SCNN, RESA, RTFormer,UFLD


An innovative GWAS procedure for studies on germplasm population and plant breeding


WWW 2022 "Sequential Recommendation via Stochastic Self-Attention"


Official code for papers "Perceptual Compressive Sensing" at PRCV 2018 and "Fully Convolutional Measurement Network for Compressive Sensing Image Reconstruction" at Neurocomputing 2019.


Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)


SCODE : an efficient regulatory network inference algorithm from single-cell RNA-Seq during differentiation


Sergey Koposov's repository of codes, converted from IDL astrolib. Some are mimicking the IDL interface, some are new. Some are obsolete given the existence of astropy


ACM CHIL 2020:  "Survival Cluster Analysis"


bert with customized features


MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction


A paper list of research about social knowledge graph


Pytorch code for the Fromage optimiser.


[PAKDD 2021] Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning


Differentiable short-time Fourier transform (DSTFT): Gradient-based parameters tuning for adaptive time-frequency representation. DSTFT is a neural network layer whose weights are its parameters (e.g. window and hop lengths).


Repository for the ERA-NUTS dataset.


Gaussian gradient magnitude filtering of astronomical images


A curated list of text-based image manipulation methods.


ImageNet-R(endition) and DeepAugment (ICCV 2021)


Official implementation for the paper "Offline Meta RL - Identifiability Challenges and Effective Data Collection Strategies", NeurIPS 2021.


32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.


A colab that implements the Symplectic Gradient Adjustment optimizer from "The mechanics of n-player differentiable games"


Official implementation of paper "CityLearn: Diverse Real-World Environments for Sample-Efficient Navigation Policy Learning" by M. Chancán (ICRA 2020) https://doi.org/10.1109/ICRA40945.2020.9197336


Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]


Pytorch implementation and pre-trained Japanese model for CANINE, the efficient character-level transformer.


Workflow for Building  Microsynteny Networks


Unsupervised single image depth prediction with CNNs


Differentially Private Conditional Generative Adversarial Network


A Restricted Black-box Adversarial Framework Towards Attacking Graph Embedding Models


JavaScript library to explain any machine learning models anywhere!


Toolbox for parameter estimation of the Standard Model of diffusion in white matter


CLIPfa: Connecting Farsi Text and Images


Implementation of the paper "Automatic Program Synthesis of Long Programs with a Learned Garbage Collector"


Code for "CMRNet: Camera to LiDAR-Map Registration" (ITSC 2019) - WIP


An implementation of  "Community Preserving Network Embedding" (AAAI 2017)


PyTorch implementation of the paper "NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity." (NeurIPS 2020)


Co-evolution of agents and environments in GVG-AI


Implementation of the (beetle antennae search) BAS algorithm and its mutations in R code


A photometric redshift monstrosity


Hierarchical Gating Networks for Sequential Recommendation


A quantum circuit optimizer based on sum-over-paths representations


Partially Adaptive Momentum Estimation method in the paper "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks" (accepted by IJCAI 2020)


Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023


A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).


Robust, Realtime, On-Device Face Liveness Detection (Face Anti Spoofing) Android


A working Python implementation to generate pascal-5i dataset


An ultra-fast, GPU-based large graph embedding algorithm utilizing a novel coarsening algorithm requiring not more than a single GPU.


What goes up must come down again.


MATLAB implementation of the extended target PMBM tracker based on sets of trajectories


Functions for calculating mutual information and other information theoretic quantities using a parametric Gaussian copula.


Scripts to reproduce TrioBinning manuscript


Material for the exercise sessions of master course Machine Learning for Economic Analysis @UZH


In this part, I've introduced and experimented with ways to interpret and evaluate models in the field of image.  (Pytorch)


Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)


Streaming sparse Gaussian process approximations


Bitnodes estimates the relative size of the Bitcoin peer-to-peer network by finding all of its reachable nodes.


The Deep Learning guts that you're all curious about


Japanese Moral Foundations Dictionary (J-MFD)


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


Neural models for documents with metadata


Official implementation of the SPL paper "One-class Learning Towards Synthetic Voice Spoofing Detection"


Toolbox for Bayesian inference for psychometric functions


several types of attention modules written in PyTorch


Course Materials for EN.601.452 / AS.020.415 Computational Biomedical Research & Advanced Biomedical Research


Measure the similarity of text corpora for 74 languages


PET Unified Pipeline


Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]


Source code for "Oscillators that sync and swarm" paper -- https://www.nature.com/articles/s41467-017-01190-3


A public repository for the code L-PICOLA


Laplacian Change Point Detection for Dynamic Graphs (KDD 2020)


Clone of "Digital Representations of Tree Species Range Maps from "Atlas of United States Trees" by Elbert L. Little, Jr. (and other publications)"


Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)


TensorFlow implementation for our paper "Exploration via Hindsight Goal Generation"


DVC: An End-to-end Deep Video Compression Framework, CVPR 2019 (Oral)


An FFTLog code for efficiently computing integrals containing 1 spherical Bessel function or Bessel function or its 1st/2nd derivative.


COVID-19 data in Brazil: cases, deaths, and vaccination at municipal (city) level. Description of the data: https://github.com/wcota/covid19br/blob/master/DESCRIPTION.en.md and https://doi.org/10.1590/SciELOPreprints.362


Deep Active Learning


Official Repository for our CVPRW (MAI'21) paper.


Code for the paper "Knowledge-driven Data Construction for Zero-shot Evaluation in Commonsense Question Answering" (AAAI 2021)


Topological data analysis tools for cross correlation matrices


Code for the "OWQ: Lessons learned from activation outliers for weight quantization in large language models".


DynaSent: Dynamic Sentiment Analysis Dataset


Repository for "Differentiable Causal Discovery from Interventional Data"


Public collection of firewall dumps.


corpus and code for joint modeling of dialogue acts and sentiments in social media


Load Monitoring and Energy Disaggregation on a RasPi


These Python notebooks reproduce some figures in the following preprint using the libraries pyMOU and NetDynFlow: https://www.biorxiv.org/content/10.1101/531830v2


Python scripts for studying bias in recommender systems


Matlab codes for integrating the normal (gradient) field of a surface over a 2D grid


Graph Neural Networks to predict the cosmological parameters or the galaxy power spectrum from galaxy catalogs.


This version still works, but all development has been moved to: https://github.com/WAM2layers/WAM2layers


A curated list of Federated Learning papers/articles and recent advancements.


[AAAI-2021] Official implementation for "Cross-Layer Distillation with Semantic Calibration".


Fast, Accurate, Mask-Aware Face Recognition SDK with Liveness Detection


An Unsupervised Distance Learning Framework for Multimedia Retrieval


Official code of our NAACL 2019 paper on Zero-Shot Cross-Lingual Transfer with Order Differences


Official repository for paper "Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching" (ICML 2022)


R  to download  open water quality data


Model compression by constrained optimization, using the Learning-Compression (LC) algorithm


soliDMFT allows to perform charge self-consistent DFT+DMFT calculations by utilizing the triqs library and VASP.


LMSCNet: Lightweight Multiscale 3D Semantic Completion. Roldão, L., de Charette, R., & Verroust-Blondet, A. International Conference on 3D Vision (3DV). 2020


Bayesian model configuration, selection and averaging in complex regression contexts


Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)


An instruction set simulator based on DBT-RISE implementing the RISC-V ISA


Spectral Generation Package


Library for computer-assisted proofs in dynamical systems


iCNN: image reconstruction from CNN features


Config files for my GitHub profile.


一份中文综述文章列表（自然语言处理&机器学习）


S3norm ver2 + IDEAS epigenetic state / master peak list


Round matrix elements to lower precision in MATLAB


Scripts to run several protocols to process and analyze Next-Generation Sequencing data


Kuzushiji Recognition Kaggle 2019. Build a DL model to transcribe ancient Kuzushiji into contemporary Japanese characters. Opening the door to a thousand years of Japanese culture.


A Library for Dynamic Graph Learning (NeurIPS 2023)


Earl Grey: A fully automated TE curation and annotation pipeline


Non-Parametric Calibration for Classification (AISTATS 2020)


COsmological N-body CodE in PyThon


Paper List for Fair Graph Learning (FairGL).


Do What The F*ck You Want To Public License

A very long list of English profanity.


DSAC* for Visual Camera Re-Localization (RGB or RGB-D)


Code for the paper:      Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data


RISC-V Supervisor Binary Interface (RISC-V SBI) implementation in Rust; runs on M-mode; good support for embedded Rust ecosystem


[ICCV 2019] Depth Hints are complementary depth suggestions which improve monocular depth estimation algorithms trained from stereo pairs


Probabilistic Type Inference using Graph Neural Networks


FastPoseGait is a user-friendly and flexible repository that aims to help researchers get started on pose-based gait recognition quickly.


This repository contains a collection of surveys, datasets,  papers, and codes, for predictive uncertainty estimation in deep learning models.


Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)


Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020


nTorrent implementation. The application design is presented in the paper "nTorrent: Peer-to-Peer File Sharing in Named Data Networking": https://users.cs.fiu.edu/~afanasyev/assets/papers/mastorakis2017ntorrent.pdf


Proton Exchange Membrane (PEM) Fuel Cell Dataset


A challenge to explore adversarial robustness of neural networks on CIFAR10.


Code accompanying the paper "Spherical View Synthesis for Self-Supervised 360 Depth Estimation", 3DV 2019


Python interface for a 2D optimal transport / Monge Ampère solver using Laguerre diagrams


Code & short tutorial for modified multi-scale entropy analysis


HIPP: Modern C++ Toolkit for HPC


Official code for MatrixVT on BEVDepth.


kinetic isotope effect prediction with Gaussian


This repo is the home of Romanian Transformers.


A Python package to compute HONEST, a score to measure hurtful sentence completions in language models. Published at NAACL 2021.


DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021


Official repository for RawNet, RawNet2, and RawNet3


BASTA: The BAyesian STellar Algorithm


Code accompanying our papers on the "Generative Distributional Control" framework


BP+OSD: Belief propagation with ordered statistics post-processing for decoding quantum LDPC codes


A Python package to learn the Koopman operator.


Python 3 library for processing historical English


Multi-source electromagnetic simulations in frequency domain, implementing the augmented partial factorization (APF) and other methods.


Multi-Zone Galactic Chemical Evolution Codes.  Extension of NuPyCEE


RNA secondary structure/sequence profiles for homology search and alignment


Scripting analyses of genomes in Ensembl Plants


Potential Field Source Surface model package for Python


A curated list of data mining papers about fraud detection.


Challenge inputs, details, and results for the SAMPL6 series of challenges


pbsv - PacBio structural variant (SV) calling and analysis tools


pathfindR: Enrichment Analysis Utilizing Active Subnetworks


Forest Vegetation Simulation (FVS) - Growth and Yield Modeling software


Complete EEG analysis framework written in matlab, using EEGLAB and BRAINSTORM


A Julia wrapper of iminuit. iminuit is a Python interface to the C++ version of the function minimization and error analysis package MINUIT.


Clone of the Bioconductor repository for the onlineFDR package. See https://bioconductor.org/packages/devel/bioc/html/onlineFDR.html for the official development version, and https://dsrobertson.github.io/onlineFDR/ for easy access to documentation.


This is a paper list about Resource Allocation in Network Functions Virtualization (NFV) and Software-Defined Networking (SDN).


Lectures for INFO8010 - Deep Learning, ULiège


Mie scattering of light by perfect spheres


A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.


A collection of research on knowledge graphs


R scripts for a GHG emissions indicator published on Environmental Reporting BC


An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.


Data, in citable form, produced by the Coudert research group


Simple python API to read annotation data of Manga109


An index of algorithms for offline reinforcement learning (offline-rl)


Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead


Environment Data Model


C++ Library for Portable SIMD Vectorization


Nextflow RNA-Seq Best Practice analysis pipeline, used at the SciLifeLab National Genomics Infrastructure.


Patch's Javascript client library - https://www.patch.io


An implementation of the Fermionic Neural Network for ab-initio electronic structure calculations


CCS: Generate Highly Accurate Single-Molecule Consensus Reads (HiFi Reads)


Lisflood OS - LISFLOOD


Global scenarios of the Ocean Health Index


The overall codebase developed and used by the Vertebrate Resequencing group at the Sanger Institute


Quantum Technology Toolbox https://qtt.readthedocs.io/


Training neural models with structured signals.


German and Polish COVID-19 Forecast Hub


Parser for TOSCA Simple Profile in YAML. Mirror of code maintained at opendev.org.


微调BERT模型,同时构建自己的数据集实现分类


" Weight Uncertainty in Neural Networks"


Transductive Zero-Shot Learning with Visual Structure Constraint, in NeurIPS 2019


Tools to download and process name data from various sources.


Plot an interactive circular graph to illustrate connections in a network in MATLAB.


深蓝课程


[AAAI 2022] TempoQR: Temporal Question Reasoning over Knowledge Graphs


A presentation on Augmented CycleGAN and the papers that lead up to it


Code release for "Improved baselines for vision-language pre-training"


Spectre attack against SGX enclave


Overcoming catastrophic forgetting with hard attention to the task


PyTorch implementation of DiracDeltaNet from paper Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs


Computationally friendly hyper-parameter search with DP-SGD


A library for finding knowledge neurons in pretrained transformer models.


Microbiota Analysis in R Easily


Implementation for the paper "Unified Multimodal Model with Unlikelihood Training for Visual Dialog"


Code release for DeepJudge (S&P'22)


Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models


Type inference algorithms and intuitionistic propositional theorem provers solving type inhabitation problems


A short tutorial for creating a species distribution model using QGIS, R, and MaxEnt.


Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf


Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting


Neural likelihood-free methods in PyTorch.


Systematic generalization test for CLEVR


Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal Control


Implementation code for "Lung Nodule Detection and Classification from Thorax CT-Scan Using RetinaNet with Transfer Learning" (2020)


A challenge to investigate the security of the InstaHide protocol.


[ICLR 2023] LDMIC: Learning-based Distributed Multi-view Image Coding


Code for EMNLP 2022 main conference paper "Information-Transport-based Policy for Simultaneous Translation"


Korean Parallel Corpus


Repository for the R package EPIC, to Estimate the Proportion of Immune and Cancer cells from bulk gene expression data.


RepBERT is a competitive first-stage retrieval technique. It represents documents and queries with fixed-length contextualized embeddings. The inner products of them are regarded as relevance scores. Its efficiency is comparable to bag-of-words methods.


Program for estimating dN/dS in overlapping genes (OLGs)


Merge Double Thompson Sampling for Large Scale Online Ranker Evaluation


Official repository for CVPR'23 paper: Detecting Backdoors in Pre-trained Encoders


Verilog implementation of the symmetric block cipher AES (Advanced Encryption Standard) as specified in NIST FIPS 197. This implementation supports 128 and 256 bit keys.


A project for artificially undersampling MR (Magnetic Resonance) Images, using various Cartesian and Radial sampling patterns. Modules from project can also be used for generating under-sampling patterns, that can be used with the scanner


Official repository for VIGOR : Cross-View Image Geo-localization beyond One-to-one Retrieval


Dataset citeulike-a for 'Collaborative Topic Regression with Social Regularization' (CTRSR)


Code for "Graph Structure Learning with Variational Information Bottleneck" published in AAAI 2022


A simple particle tracking algorithm for MATLAB that can deal with gaps.


Colabs for Neural Image Enhancement.


Helper-based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off


OptiX 7 Powered Realtime Acoustic Raytracing


TurnGPT: a Transformer-based Language Model for Predicting Turn-taking in Spoken Dialog


code for TMI DoFE: Domain-oriented Feature Embeddingfor Generalizable Fundus Image Segmentationon Unseen Datasets


Old implementation and demonstration of the Capsule-Forensics. The Capsule-Forensics-v2 has been released here: https://github.com/nii-yamagishilab/capsule-forensics-v2


This repository implements variational graph auto encoder by Thomas Kipf.


Supervised Contrastive Learning for Downstream Optimized Sequence Representations


Calculates optimum interplanetary trajectories visitng a specifed sequence of planets or other celestial bodies.


Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".


The Continual Learning in Multimodality Benchmark


PyTorch implementation of MLP-Mixer: An all-MLP Architecture for Vision


In this work, we present a 5G trace dataset collected from a major Irish mobile operator. The dataset is generated from two mobility patterns (static and car), and across two application patterns(video streaming and file download). The dataset is composed of client-side cellular key performance indicators (KPIs) comprised of channel-related metrics, context-related metrics, cell-related metrics and throughput information. These metrics are generated from a well-known non-rooted Android network monitoring application, G-NetTrack Pro. To the best of our knowledge, this is the first publicly available dataset that contains throughput, channel and context information for 5G networks. To supplement our real-time 5G production network dataset, we also provide a 5G large scale multi-cell ns-3 simulation framework. The availability of the 5G/mmwave module for the ns-3 mmwave network simulator provides an opportunity to improve our understanding of the dynamic reasoning for adaptive clients in 5G multi-cell wireless scenarios. The purpose of our framework is to provide additional information (such as competing metrics for users connected to the same cell), thus providing otherwise unavailable information about the basestation (eNodeB or eNB) environment and scheduling principle, to end user. Our framework permits other researchers to investigate this interaction through the generation of their own synthetic datasets.


Generative Adversarial Networks in PyTorch


CNN/Daily Mail Reading Comprehension Task


Learning Green's functions of partial differential equations with deep learning.


An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming (ICML'21)


TTT Code Release


The database contains a vast set of data on the properties of glass materials.


This repository contains the FewGLUE dataset for few-shot natural language understanding.


Codes for reproducing the results of the paper "Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness" published at ICLR 2020


Calculate Krippendorff's Alpha on any DataFrame


This is a lidar segmentation method based on range image.


Repository for machine learning and remote sensing pipeline described in Kruitwagen, L., Story, K., Friedrich, J, et. al. (2019) , used to produce a global inventory of utility-scale solar photvoltaic generating stations.


[ECCV 2022] "Adversarial Contrastive Learning via Asymmetric InfoNCE"


NIPS 2017 - Adversarial Learning


implementations sde-net


A custom PyTorch layer that is capable of implementing extremely wide and sparse linear layers efficiently


An easy-to-use library to linguistically compare one sentence and its words to another, in the same language or a different one. For instance useful for comparing a translation with the original text, to find differences and similarities between two different translations, or to see how a machine translation differs from a reference translation.


Pulsar searching with the Fast Folding Algorithm (FFA)


2021 Summer Research Internship project (UROP) at Imperial College London. Supervised by Prof George Constantinides and Ben Biggs


Machine Learning for photo-Z


Python 3 support for the MS COCO caption evaluation tools


Prompt-learning methods used BERT4Keras (PET, EFL and NSP-BERT), both for Chinese and English.


Bounding box detection of drones (small scale quadcopters) with CNTK Fast R-CNN


Calculate your carbon footprint easily using a command line interface (10+ metrics, .PDF report).


DWIE (Deutsche Welle corpus for Information Extraction) dataset. Introduced in our "DWIE: an entity-centric dataset for multi-task document-level information extraction" paper (accepted in Information Processing and Management)


Lung fields segmentation on CXR images using convolutional neural networks.


Pretrained Language Models for Korean


Benchmark for Answering Existential First Order Queries with Single Free Variable (NeurIPS dataset and benchmark 2021)


ROS-Industrial KUKA support (http://wiki.ros.org/kuka)


Zero-shot dialogue state tracking (DST)


The code for our ECCV 2020 paper: Estimating People Flows to Better Count Them in Crowded Scenes


Automated Scalable Bayesian Inference


LSTM and CNN sentiment analysis


Code for the collection and analysis of the MTNT dataset


End-to-End Differentiable Proving


Rainfall Rescue


The official implementation of ACL 2020, "Logic-Guided Data Augmentation and Regularization for Consistent Question Answering".


C program for selecting DNA substitution models using PAUP*


NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs


Detect UN Sustainable Development Goals in Text


Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"


IDR


Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)


A methodology to assess the Real Impact of funds on social and environmental issues.


A very simple library for exploiting graph-of-words in NLP


Automatic Data-Regularized Actor-Critic (Auto-DrAC)


Code of Fair PCA algorithm introduced in the paper "The Price of Fair PCA: One Extra Dimension"


(Hybrid) BYOL-S feature extractor using serab-byols package in pytorch.


Plastid Genome Annotator


fastText + Bloom embeddings for compact, full-coverage vectors with spaCy


EMNLP'2020: Look at the First Sentence: Position Bias in Question Answering


PyTorch + HuggingFace code for RetoMaton: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022), including an implementation of kNN-LM and kNN-MT


This is all the code and data from the Pantheon analysis https://arxiv.org/abs/1710.00845


LOW-RESOURCE NEURAL MACHINE TRANSLATION: A BENCHMARK  FOR FIVE AFRICAN LANGUAGES


Compress conventional Vision-Language Pre-training data


[NeurIPS'19 Oral] CORnet: Modeling the Neural Mechanisms of Core Object Recognition


使用预训练语言模型BERT做中文NER


Inference of high-quality embeddings of complex networks into the hyperbolic disk.


A PyTorch implementation of state of the art video captioning models from 2015-2019 on MSVD and MSRVTT datasets.


Attentional Learning of Trash Classification


A Pytorch implementation of StarGAN-VC2


Code and data to the publication "SpikE: spike-based embeddings for multi-relational graph data".


Pulsar searching


MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences (ICCV 2019 Oral)


Robust Subspace Recovery Layer for Unsupervised Anomaly Detection


Code and models for "The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Models". EACL 2021, WANLP.


Excess mortality during COVID-19 pandemic


A protein structure dataset that combines 3D atomic coordinates with biophysical and evolutionary properties for every atom in every "cleaned" domain structure in CATH.


MedNeXt is a fully ConvNeXt architecture for 3D medical image segmentation (MICCAI 2023).


Developing a Melanoma Detector with Neural Networks and Flask for Deployment


Official Pytorch Implementation of our paper: Video Person Re-ID : Fantastic Techniques and Where to Find Them


Reproducing RigL (ICML 2020) as a part of ML Reproducibility Challenge 2020


Compositional Obverter Communication Learning From Raw Visual Input - Pytorch Implementation


A logistical pulsar search pipeline using Scott Ransom's PRESTO.


AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning


Transformer for abstractive summarization on cnn/daily-mail and gigawords


90%+ with 40 labels. please see the readme for details.


routines for computing neutron star structure and evolution


This project is about performing Speaker diarization for Hindi Language.


Entity Abstraction in Visual Model-Based Reinforcement Learning


SchNet - a deep learning architecture for quantum chemistry


Copora for evaluating NLU Services/Platforms such as Dialogflow, LUIS, Watson, Rasa etc.


Bag of Tricks for Graph Neural Networks.


Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022


SVG based genome viewer written in javascript using D3


Physical adversarial attack for fooling the Faster R-CNN object detector


[CVPR'23 Highlight] LaserMix for Semi-Supervised LiDAR Semantic Segmentation


A framework for majority vote classifiers allowing for computation of PAC Bayesian risk bounds.


PointPillars for KITTI object detection


Implements of Awesome RecSystem Models with PyTorch/TF2.0


Active Subspace Data Sets


ITAコーパスの文章リスト


Open Data Commons Open Database License v1.0

Intrinsic evaluation of word vectors


An R Package for Importing Data from Our World in Data


Offline calculation of particle trajectories


Unified Cybersecurity Ontology


Code for "BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning"


Dict2vec is a framework to learn word embeddings using lexical dictionaries.


Temporal Moment(Action) Localization via Language / Temporal Language Grounding / Video Moment Retrieval


RayS: A Ray Searching Method for Hard-label Adversarial Attack (KDD2020)


Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022


Analyze antibody repertoires and discover new V genes from high-throughput sequencing reads


Grounded SCAN data set.


A python library for instagram filters


Rethinking the Truly Unsupervised Image-to-Image Translation - Official PyTorch Implementation (ICCV 2021)


x-transformers-paddle 2.x version


Automatic XRD classification for thin-film materials using CNNs, Class Activation Maps and Data Augmentation


Tools for fitting transiting exoplanet lightcurves and radial velocities


Pipeline for de novo peptide sequencing (Novor, DeepNovo, SMSNet, PointNovo, Casanovo) and assembly with ALPS.


A Language-Independent Unsupervised Morphological Segmentation Framework based on Adaptor Grammars


中文自然语言推理数据集（A large-scale Chinese Nature language inference and Semantic similarity calculation Dataset）


A repository for easy segmentation using a convolutional neural network structure.


Hyperparameter optimization with approximate gradient


3D massively parallel general relativictic MHD code HARMPI


Naive Bayes SVM for Sentiment Analysis


Python implementation of the monster group


Scikit-learn friendly library to interpret, and prompt-engineer text datasets using large language models.


python routines to calculate mie opacities


An optimal space run-length Burrows-Wheeler transform full-text index


A Library For Dense Retrieval Oriented Vector Quantization


Grey-scale Image Classification using KERAS


GDSC Single Molecule Light Microscopy ImageJ Plugins


Simple scripts for concatenate alignments and rename terminals for phylogenetics


Open Source Algorithm for Detecting Sea Ice Surface Features in High Resolution Optical Imagery


Benchmark dataset for tree detection for airborne RGB, Hyperspectral and LIDAR imagery


Julia and C++ implementations of Bayesian Probabilistic Matrix Factorization using Markov Chain Monte Carlo


Benchmark for Temporal Fact Validation


Popular ECG QRS detectors written in python


Scripts for calculating features and regression of prokaryote OGT


Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport


The amazing will normalize non-standard Finnish/Swedish and dialectalize standard Finnish!


Wind energy library, python and matlab tools for wind turbines analyses


A fast, simple, multilingual tokenizer


DNA序列比对结果 可视化展示工具


Cross-lingual Dependency Parsing Based on Distributed Representations


Tensorflow 2 source code for the PI-SAC agent from "Predictive Information Accelerates Learning in RL" (NeurIPS 2020)


Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"


[CVPR 2023] Official repository of paper titled "MaPLe: Multi-modal Prompt Learning".


한국어 개체명 정의 및 표지 표준화 기술보고서와 이를 기반으로 제작된 개체명 형태소 말뭉치


This repository contains data pre-processing and visualization scripts used in GENEA Challenge 2022 and 2023. Check the repository's README.md file for instructions on how to use scripts yourself.


Mean Absolute Error Does Not Treat Examples Equally and Gradient Magnitude’s Variance Matters


Tool to build force field input files for molecular simulation


An R client for broads firehose pipeline, providing TCGA data sets


plots things that are not boxplots


Tutorials on the use of (Gaia) astrometry in astronomical data analysis or inference problems.


SAM: Sharpness-Aware Minimization (PyTorch)


This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).


The Model for Economic Tipping (point) Analysis


A list of NLP resources focused on event extraction task


Models for explainable recommendation.


This is an authors' implementation of the NIPS 2022 dataset and Benchmark Track Paper "A Comprehensive Study on Large Scale Graph Training: Benchmarking and Rethinking" in PyTorch.


Code for Mimicking Word Embeddings using Subword RNNs (EMNLP 2017)


Framework for 0-D Atmospheric Modeling


An overview and exploration of the concept of missing datasets.


(Linear-chain) Conditional random field in PyTorch.


IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020)


A curated list of research papers and resources on code-switching


Syllable segmentation tool for Myanmar language (Burmese) by Ye.


An open-source computer program for the analysis of wave diffraction and radiation of three-dimensional floating or submerged structures


The myth, the legend, the model... ExoCAM!


A repository containing the code for speech translation papers.


DRAM Bender is the first open source DRAM testing infrastructure that can be used to easily and comprehensively test state-of-the-art DDR4 modules of different form factors. Five prototypes are available on different FPGA boards. Described in our preprint: https://arxiv.org/pdf/2211.05838.pdf


Functions to manipulate and visualize microbial community data


Differentiable computations for the signature-PDE-kernel on CPU and GPU.


A Vietnamese natural language processing toolkit (NAACL 2018)


Time Dependent Open Quantum Systems Solver written by Matthew Otten (otten@anl.gov)


A new version of CLASS that can deal with axion-like particles. Co-developped with Tristan L. Smith, Tanvi Karwal + some initial commits by Charlotte Owen.


OLD MATLAB version of CLIMADA phased out --> PLEASE USE https://github.com/CLIMADA-project/climada_python


Cold pool area and temperature data products for the eastern Bering Sea from NOAA/AFSC/RACE Groundfish Assessment Program's summer trawl surveys


Minia is a short-read assembler based on a de Bruijn graph


an easy-to-use knn-mt toolkit


A tensorflow library for building all kinds of models


Diffusion MRI Simulation Toolbox in Matlab


Creating multimodal multitask models


About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008


EHT Image domain analysis through template matching.


Code base for the U.S. EPA’s Atmospheric Model Evaluation Tool (AMET)


Generate fully parametric face images from the Basel Face Model 2017


Decision Intelligence Platform for Autonomous Driving simulation.


Collection of tools to support submissions to the 3rd VIPriors workshop challenges


An easy-to-use Japanese Text Processing tool, which makes it possible to switch tokenizers with small changes of code.


PacBio Secondary Analysis Tools on Bioconda. Contains list of PacBio packages available via conda.


A C++/Python simulator package for reinforcement learning


Provide mapping and localization pipelines based on kapture format


The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Python. The Toolbox realizes LRP functionality for the Caffe Deep Learning Framework as an extension of Caffe source code published in 10/2015.


The official repository for the deepSNV bioconductor packages. Branch master tracks the official Bioconductor development branch.


Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)


This is the official code repository for MUSIC, a (3+1)D hydrodynamic code package for relativistic heavy-ion collisions


Rapid phylogenetic analysis of large samples of recombinant bacterial whole genome sequences using Gubbins


Microsoft Quantum Computing Libraries for noncommercial use


Common repository for example datasets used by Vega-related projects


RE2 is a fast, safe, thread-friendly alternative to backtracking regular expression engines like those used in PCRE, Perl, and Python. It is a C++ library.


An open software package to develop BCI based brain and cognitive computing technology for recognizing user's intention using deep learning


The Open Modeling Framework for smart grid cost-benefit analysis.


Open source implementation of "Neural Message Passing for Quantum Chemistry"


Assessing syntactic abilities of BERT


Sequential and distributed AND/OR Branch and Bound for MPE (max-product) problems over graphical models like Bayes and Markov networks.


Simulation and Neuroscience Application Platform


Framework for training and evaluating self-supervised learning methods for speaker verification.


PyTorch implementation of EMAN for self-supervised and semi-supervised learning: https://arxiv.org/abs/2101.08482


TensorFlow Implementation of CDVAE-VC.


SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization


Code for "ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning" (ICLR 2020)


MADE (Masked Autoencoder Density Estimation) implementation in PyTorch


This repository documents MATLAB implementation of a dynamic user equilibrium solver, including a dynamic network loading sub-routine


The Planheat tool is the heart of the Planheat project (http://planheat.eu/). Composed of several modules, it will help your city to simulate its way to decarbonising its heating and cooling system by showing you economically feasible scenarios.


Code for Multi-Object Matching


JEME method for predicting enhancer targets


Massively Parallel and Asynchronous Architecture for Logic-based AI


Source code for NAACL 2022 paper Weakly Supervised Text Classification using Supervision Signals from a Language Mode


A collection of small-sample, high-dimensional microarray data sets to assess machine-learning algorithms and models.


Implementation of SimplE Embedding for Link Prediction in Knowledge Graphs in PyTorch


Sparse and Imperceivable Adversarial Attacks (accepted to ICCV 2019).


Gaussian Processes GaPP code auxiliary repository


Generate authentic motion blur kernels (point spread functions) and apply them to images. Fast and Simple.


Attribute-Object Visual Composition using Attributes as Operators


UNC-Chapel Hill Bioinformatics Utilities


This repository contains the TensorFlow implemtation of subgraph2vec (KDD MLG 2016) paper


Implements the unsupervised pre-training of convolutional neural networks


The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight paper)


Deep-Atrous-CNN-Text-Network: End-to-end word level model for sentiment analysis and other text classifications


Weakly-supervised Text Classification Based on Keyword Graph


This repository provides simple PyTorch implementations for adversarial training methods on CIFAR-10.


Aspect Sentiment Triplet Extraction (ASTE) dataset in AAAI 2020, EMNLP 2020 and ACL 2021.


[KDD 2022] AutoShard: Automated Embedding Table Sharding for Recommender Systems


CBAM implementation on TensorFlow Slim


Image to Image translation, image generataton,  few shot learning


Python Package for Modelling Dust Evolution in Protoplanetary Disks.


Large scale sentential paraphrases collection and annotation


reverse gene expression score


PyTorch implementations of NVDM, GSM, NTM, NTMR


Implementation of caption-image retrieval from the paper "Order-Embeddings of Images and Language"


NLP  model and tech  for cyber security tasks


Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018)


This repository contains a script that can be used to facilitate the data workflow for soft-linking of global IAMs and global power system models.


Which Encoding is the Best for Text Classification in Chinese, English, Japanese and Korean?


A PyTorch implementation of "Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information" (WSDM 2021)


This repository contains the code for the paper: Disentangling Factors of Variation with Cycle-Consistent Variational Auto-encoders (https://arxiv.org/abs/1804.10469), which was accepted at ECCV 2018.


Visual Navigation with Spatial Attention


Arabic edition of ALBERT pretrained language models


olaFlow CFD Suite is a free and open source project committed to bringing the latest advances for the simulation of wave dynamics to the OpenFOAM® and FOAM-extend communities.


Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"


Package for CGD and ACGD optimizers


Pytorch world language model (text generation) for PTB dataset example


[AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients


Experimental codes for paper "Outer Product-based Neural Collaborative Filtering".


Improved Neural Machine Translation with a Syntax-Aware Encoder and Decoder


Command line tool for launching attacks against Machine Learning Malware detectors.


A fast and lightweight python-based linear mixed-model solver for use in genome-wide association studies.


Predicting transcription factor binding in single cells through deep learning


Code and test data for "On Measuring Bias in Sentence Encoders", to appear at NAACL 2019.


Hierarchical Self-Play


Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.


Compressed Sensing MRI based on Deep Generative Adversarial Network


Implementation of self-supervised image-level contrastive pretraining methods using Keras.


Learning to detect fake face images in the wild. We use a deep fully convolutional network based on Siamese network and contrastive loss.


Newly released traffic light dataset for small object detection.


Fast, state-of-the-art ab initio prediction of protein secondary structure in 3 and 8 classes


Adaptive Neural Trees


Pytorch code of  "Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning", CVPR 2019.


Implementation in MATLAB-based CVX of various convex/concave functions of matrices (matrix geometric means, quantum relative entropy, ...)


Deformable Style Transfer (ECCV 2020)


Repository for OVANet


code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"


multi-dimensional statistical test with python


Explicit Sentence Compression for Neural Machine Translation


Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion (AAAI 2021)


Java-Based Context-aware Recommendation Library


Jointly Modelling Aspects, Ratings and Sentiments for Movie Recommendation (JMARS)


The source code of ACL 2018 paper "Denoising Distantly Supervised Open-Domain Question Answering".


The original implementation of the models and experiments of Variational Deep Semantic Hashing paper (SIGIR 2017)


[ICCV 2023] The official PyTorch code for Group Pose: A Simple Baseline for End-to-End Multi-person Pose Estimation


ICLR 2021, "Learning with feature-dependent label noise: a progressive approach"


A Greek edition of BERT pre-trained language model


This repository contains a simple implementation of Interval Bound Propagation (IBP) using TensorFlow: https://arxiv.org/abs/1810.12715


Implementation of the Convolutional Conditional Neural Process


Tools to convert Illumina IDAT/BPM/EGT/GTC and Affymetrix CEL/CHP files to VCF


Implicit Graph Neural Networks


Gated Attention Reader for Text Comprehension


PyTorch implementation of ICLR 2018 paper Learn To Pay Attention (and some modification)


Kaggle | 1st place solution for Freesound Audio Tagging 2019


An infant cry audio corpus that's being built through the Donate-a-cry campaign - see http://donateacry.com


inferring RBP binding sites and motifs using local and global CNNs


Source code to reproduce the results in the ACL 2019 paper "Syntactically Supervised Transformers for Faster Neural Machine Translation"


Official Repository for the AAAI-20 paper "Hidden Trigger Backdoor Attacks"


MOsaic CHromosomal Alterations (MoChA) caller


TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199


Attention-Informed Mixed-Language Training for Zero-shot Cross-lingual Task-oriented Dialogue Systems (AAAI-2020)


This code accompanies the paper "Scalable Multi-Agent Model-Based Reinforcement Learning".


Character-level Convolutional Networks for Text Classification


This repository collects some datasets for Ads & RecSys uses, and provide easy-to-use hdf5 iterative access.


Code and data for paper "Dialog Intent Induction with Deep Multi-View Clustering", Hugh Perkins and Yi Yang, 2019, EMNLP 2019


Faraday Rotation Measure Synthesis in Python


Experiments codes for SIGIR'16 paper "Fast Matrix Factorization for Online Recommendation with Implicit Feedback "


NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.


A Toolkit for Video Action Recognition(Classification/Detection)


A set of astronomy-related routines for generating Voigt profiles from atomic data, reading and writing data, working with SEDs and passbands.


Phase-aware speech enchancement with Deep Complex U-Net


Documentation for dynamic machine learning systems.


Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)


Replication Package for "Natural Attack for Pre-trained Models of Code", ICSE 2022


Goalign is a set of command line tools and an API to manipulate multiple sequence alignments. It is implemented in Go language.


SIAN (Structural Identifiability ANalyser) is a software for assessing structural identifiability of ODE models.


[AAAI 2019] Weakly-Supervised Hierarchical Text Classification


Topochecker, a topological model checker


Source codes for X-STILT(NOx) [Wu et al., 2018, 2023] based on STILT-R version 2 [Fasoli et al., 2018] and STILT [Lin et al., 2003].


BEETL


[MM 2022 Oral] MM-ALT: A Multimodal Automatic Lyric Transcription System


pytorch implementation of  face detection algorithm  MTCNN


Based on : Yan, Jerabkova and Kroupa (2017, A&A) and Yan, Jerabkova, Kroupa and Vazdekis (2019, A&A): a Python3 module for computing the galaxy-wide initiall stellar mass function by integrating over a whole galaxy, parametrised by star formation rate and metallicity.


Code for the 'DARTS: Deceiving Autonomous Cars with Toxic Signs' paper


[unofficial] Pytorch implementation of WaDIQaM in TIP2018, Bosse S. et al. (Deep neural networks for no-reference and full-reference image quality assessment)


Experiments on unsupervised point cloud reconstruction.


The Bayesian Virtual Epileptic Patient: a probabilistic framework designed to infer the spatial map of epileptogenicity in a personalized large-scale brain model of epilepsy spread


ERRor ANnotation Toolkit: Automatically extract and classify grammatical errors in parallel original and corrected sentences.


The one-stop package for formulating, simulating, and solving problems in boolean and spin form


Algorithms for deformable object manipulation benchmarked in SoftGym


Structured Prediction as Translation between Augmented Natural Languages


Keras Attention Layer (Luong and Bahdanau scores).


Natural Language for Optimization Modelling


Official PyTorch implementation of the paper "Generating Novel Scene Compositions from Single Images and Videos"


Bayesian optimization and active learning with likelihood-weighted acquisition functions


personal toolbox for lidc-idri dataset / lung cancer / nodule


Hypothesis prioritisation in multi-trait colocalization


Lightweight pipeline for processing droplet-based single-cell RNA-seq data


Demo code for Horikawa and Kamitani (2017) Generic decoding of seen and imagined objects using hierarchical visual features. Nat Commun https://www.nature.com/articles/ncomms15037.


An R package for open-channel hydraulics


Computer Vision:  Generate captions that describe the contents of images using PyTorch


A  dataset  of  222  digital  musical  scores aligned with 1068 performances (more than 92 hours) of Western  classical  piano  music.


Reproducing code for the paper "Learning Discrete Representations via Information Maximizing Self-Augmented Training"


Repository of Trans4PASS (accepted to CVPR2022)


Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet


Genetic algorithm for structure and phase prediction interfaced to GULP, LAMMPS and VASP.


Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" published at NeurIPS 2018


using CNN to do move prediction and board evaluation for the board game Go


Deep learning for Metagenome Assembly Error Detection


Code for paper LAFITE: Towards Language-Free Training for Text-to-Image Generation (CVPR 2022)


A generalized Louvain method for community detection implemented in MATLAB


Hierarchical probabilistic 3D U-Net, with attention mechanisms (— -, ) and a nested decoder structure with deep supervision (—++). Built in TensorFlow 2.5. Configured for voxel-level clinically significant prostate cancer detection in multi-channel 3D bpMRI scans.


Non-negative Positive-Unlabeled (nnPU) and unbiased Positive-Unlabeled (uPU) learning reproductive code on MNIST and CIFAR10


Code and model files for the paper: "A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction" (AAAI-18).


PyDeep is a machine learning / deep learning library with focus on unsupervised learning. The library has a modular design, is well documented and purely written in Python/Numpy. This allows you to understand, use, modify, and debug the code easily. Furthermore, its extensive use of unittests assures a high level of reliability and correctness.


A library to conduct ranking experiments with transformers.


This package is archived and further developed under the name RFSurrogates. In this R-package functions are provided to select important variables and to investigate variable relations using surrogate variables.


Generating faces with deconvolution networks


Code for "Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition", accepted at ACL 2021.


Detection of tumors on mammography images


Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow


SciRepEval benchmark training and evaluation scripts


Study on the applicability of Direct Feedback Alignment to neural view synthesis, recommender systems, geometric learning, and natural language processing.


High-fidelity performance metrics for generative models in PyTorch


DTDL based ontology for Energy Grid


Webpage for the DSTC8 - NOESIS II: Predicting Responses


Safety Verification of Deep Neural Networks


This is the parent repository for all the GEDE related activities (PIDs, Repositories, blockchains, citations, digital objects, surveys). We welcome comments to all activities.


Automatic extraction of edited sentences from text edition histories.


Vision and Language Agent Navigation


KITTeL/KoAT


A multi-resolution seismic attenuation tomography code - currently in its 3.0 release


Code for reproducing the results on the MNIST dataset in the paper "Distributional Smoothing with Virtual Adversarial Training"


Blackbox attacks for deep neural network models


JCU DeepFish dataset


Repository for SEN12MS related codes and utilities


A script that applies the AdaIN style transfer method to arbitrary datasets


ARES - Automatic Routine for line Equivalent widths in stellar Spectra


Physics-informed neural networks package


The SDK for penglai-enclave


21cm code


Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and multiple responses


A repository with several curated datasets of counter-narratives to fight online hate speech.


**Interspeech 2022** 《SpeechPrompt: An Exploration of Prompt Tuning on Generative Spoken Language Model for Speech Processing Tasks》Speech processing with prompting paradigm


A matrix-product-operators solver for the dynamics of interacting qubits modeled by a Lindblad master equation, written in C++ and wrapped with an easy-to-use Python interface.


This package contains the code to run Learned D-AMP, D-AMP, D-VAMP, D-prGAMP, and DnCNN algorithms. It also includes code to train Learned D-AMP, DnCNN, and Deep Image Prior U-net using the SURE loss.


[CVPR 2020 Oral] PyTorch implementation of "Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition"


Code release for "Cut and Learn for Unsupervised Object Detection and Instance Segmentation" and "VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation"


The message passing GAN https://arxiv.org/abs/2106.11535 and generative adversarial particle transformer https://arxiv.org/abs/2211.10295 architectures for generating particle clouds


Norwegian Transformer Model


Arduino library to monitor battery consumption


A flexible MPS framework


Nonlinear perturbation theory extension of the Boltzmann code CLASS


Modern C++ quantum computing library


Multivariate imputation and matrix completion algorithms implemented in Python


MIRTK based SVR reconstruction


SigProfilerExtractor allows de novo extraction of mutational signatures from data generated in a matrix format. The tool identifies the number of operative mutational signatures, their activities in each sample, and the probability for each signature to cause a specific mutation type in a cancer sample. The tool makes use of SigProfilerMatrixGenerator and SigProfilerPlotting.


The coronavirus dataset


Python library to train neural networks with a strong focus on hydrological applications.


Gradient based hyperparameter optimization & meta-learning package for TensorFlow


HAKE-Action in PyTorch


A fast, two-steps algorithm for the automated discovery and management of declarative business process constraints


Workshop on measuring, analyzing, and visualizing the 3D genome with Hi-C data.


Repository for research in the field of Responsible NLP at Meta.


R scripts for an indicator on long-term trends in groundwater levels in B.C. published on Environmental Reporting BC


HuSpaCy: industrial-strength Hungarian natural language processing


HTSeq is a Python library to facilitate processing and analysis of data from  high-throughput sequencing (HTS) experiments.


Deprecated - Low Orbit Ion Cannon - An open source network stress tool, written in C#. Based on Praetox's LOIC project. USE ON YOUR OWN RISK. WITHOUT ANY EXPRESS OR IMPLIED WARRANTIES. IF YOU GET V& IT IS YOUR FAULT.


Large suite of N-body simulations


Lifespan Machine Source Code


Notebooks and documentation for AI-for-Earth-managed datasets on Azure


A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.


Plotting and analysis tools for ARTIS simulations


Korean GPT-2 pretrained cased (KoGPT2)


OCO-2 Satellite CO2 peak detector.


This is a github repository of the abandonware Sequitur G2P by Bisani & Ney


Time series aggregation module (tsam). Determines typical operation periods or dereases the temporal resolution.  Accelerates model or experiment runs.


Pre facet calibration pipeline


Deep Learning Fast & Easy


A collection of AWESOME things about domian adaptation


Tokenization and pre-processing for Twitter data used to train classifiers.


LORG is an accurate natural language parser developed in the NCLT at Dublin City University with support from Enterprise Ireland. The parser employs state-of-the-art statistical techniques and a flexible architecture to facilitate adaptation to new languages and new domains.


Neural min-sum decoding in TensorFlow


Official implementation of "UNAS: Differentiable Architecture Search Meets Reinforcement Learning", CVPR 2020 Oral


Extension of the rdf3x engine and the translatesparql tool.


Bayesian optimization in high-dimensions via random embedding.


This code accompanies the paper "Parameter-free Online Test-time Adaptation".


A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.


Official implementation of particle-based models (GNS and DPI-Net) on the Physion dataset.


All NLP experiments described in ArXiv paper 1904.02682


R Functions to calculate power of GWAS studies for a single associated SNP, under various parameters. Suitable for classical (i.e. single-SNP single-trait) GWAS studies using linear regression models, i.e for quantitative traits.


Scalable implementation of DREAM - Deep RL for multi-agent imperfect information games


NeurIPS 2019 Paper: RUBi : Reducing Unimodal Biases for Visual Question Answering


A pipeline for Bacterial Whole genome sequence data analysis


A Python cross correlation command line tool for unevenly sampled time series


Code for EMNLP2020 long paper: BERT-Attack: Adversarial Attack Against BERT Using BERT


Reinforcement learning for unit commitment


Bullseye analysis pipeline for DART-seq analysis


Disclosure Avoidance System for the 2020 Census, End-to-End release


Reinforcement Learning for Gym CarRacing-v0 with PyTorch


XenC: open-source data selection tool for NLP


Convolutional Neural Networks for Sentence Classification(TextCNN) implements by TensorFlow


NLP pipelines for Tagalog using spaCy


Slimmable Compressive Autoencoders for Practical Neural Image Compression


Pytorch implementation of the paper "SNIP: Single-shot Network Pruning based on Connection Sensitivity" by Lee et al.


ProxQuant: Quantized Neural Networks via Proximal Operators


Code for Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation (EMNLP-21)


⛵ Implementation a variety of popular Image Classification Models using TensorFlow2. [ResNet, GoogLeNet, VGG, Inception-v3, Inception-v4, MobileNet, MobileNet-v2, ShuffleNet, ShuffleNet-v2, etc...]


A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).


a Pytorch library for multi-view 3D understanding and generation


Get E(B-V) values from SFD dust map data


Code and data for the experiments in "On Fairness and Calibration"


Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding


Yarpiz Evolutionary Algorithms Toolbox for MATLAB


A Tensorflow / Keras implementation of "Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks" paper


Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network


Fast Image Processing with Fully-Convolutional Networks


PyTorch Implementation of "Non-Autoregressive Neural Machine Translation"


A heuristic solver for the set cover problem


Dataset for JSB Chorales at different temporal resolutions, with train, validation, test split from Boulanger-Lewandowski (2012).


Matlab toolbox for sparse regression


Skeleton-based action recognition models in PyTorch, including Two-Stream CNN, HCN, HCN-Baseline, Ta-CNN and Dynamic GCN


The official implementation of "Train Sparsely, Generate Densely: Memory-efficient Unsupervised Training of High-resolution Temporal GAN"


Weakly Supervised Deep Detection Networks (CVPR 2016)


Max-value Entropy Search for Efficient Bayesian Optimization


The Benchmark of Linguistic Minimal Pairs


Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.


[ICLR'22 Oral] Implementation of "CycleMLP: A MLP-like Architecture for Dense Prediction"


DQN-Atari-Agents:   Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow, and DRQN


Quasi-Periodic Parallel WaveGAN Pytorch implementation


An Improved Event-Independent Network for Polyphonic Sound Event Localization and Detection


the official TangXu's group released codes about the Remote Sensing images classificaiton


Tensor network machine learning. Based on the paper "Supervised Learning with Quantum Inspired Tensor Networks" http://arxiv.org/abs/1605.05775


Analogical inference for knowledge graph completion


Supporting documentation and software for the MPPT Solar Charger


Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)


Solver for Large-Scale Rank-One Semidefinite Relaxations


Channel Reconstruction Network implemented in PyTorch


Event StoryLine Corpus - annotated data, baselines and evaluation scripts, evaluation data.


中文常用停用词表（哈工大停用词表、百度停用词表等）


Joint Transmit Beamforming and Phase Shifts Design with Deep Reinforcement Learning


core  code for High-Capacity Convolutional Video Steganography with Temporal Residual Modeling


An image captioning model that is inspired by the Show, Attend and Tell paper (https://arxiv.org/abs/1502.03044) and the Sequence Generative Adversarial Network paper (https://arxiv.org/abs/1609.05473)


pytorch code of multi scale 1d resnet, we hope it will help your research


Parsing Reading Predict Network


Code, datasets, and checkpoints for the paper "Improving Passage Retrieval with Zero-Shot Question Generation (EMNLP 2022)"


Co-expression network management based on WGCNA + k-means


A hybrid convolutional and recurrent neural network for predicting the function of DNA sequences


code and data to faciliate BERT/ELECTRA for document ranking. Details refer to the paper - PARADE: Passage Representation Aggregation for Document Reranking.


TensorFlow implementation for paper Time Interval Aware Self-Attention for Sequential Recommendation.


Python Package to calculate Cliff's delta


Layer-wise Relevance Propagation (LRP) for LSTMs.


Bayesian or-of-and


The code used in the manuscript titled "Gene duplication and evolution in recurring polyploidization-diploidization cycles in plants".


Masks recombination as detected by ClonalFrameML or Gubbins and draws an SVG


A collection of succinct data structures


EasyRobust: an Easy-to-use library for state-of-the-art Robust Computer Vision Research with PyTorch.


PERIN is Permutation-Invariant Semantic Parser developed for MRP 2020


PROVED (PRocess mining OVer uncErtain Data) is a library of functionalities to perform process mining on uncertain event data.


A Dataset for Grounded Video Description


Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm


This is an implementation of ACRNet for results reproduction on COST2100


This repository includes Spine data based CT to MR image synthesis


Domain agnostic learning with disentangled representations


Code for the paper: RealMix: Towards Realistic Semi-Supervised Deep Learning Algorithms


LTR_Finder is an efficient program for finding full-length LTR retrotranspsons in genome sequences.


Various models for handling underexposure, overexposure, super-resolution, shadow removal, etc.


Dual Encoders for State-of-the-art Natural Language Processing.


Ultrafast opacity calculator for exoplanetary atmospheres.


Scripts for analysis used during the course


pytorch version of neural collaborative filtering


Interpretable Neural Predictions with Differentiable Binary Variables


[NeurIPS2022] Deep Model Reassembly


Evaluation code for Dense-Captioning Events in Videos


Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)


TSCAN: Tools for Single-Cell ANalysis


"MesoNet: a Compact Facial Video Forgery Detection Network" (D. Afchar, V. Nozick) - IEEE WIFS 2018


PyTrx is a Python object-oriented programme created for the purpose of calculating real-world measurements from oblique images and time-lapse image series. Its primary purpose is to obtain velocities, surface areas, and distances from oblique, optical imagery of glacial environments.


A pytorch implementation for "A simple neural network module for relational reasoning", working on the CLEVR dataset


Styled text-to-drawing synthesis method. Featured at IJCAI 2022 and the 2021 NeurIPS Workshop on Machine Learning for Creativity and Design


Code to implement the DunedinPACE scoring algorithm in Illumina 450k or EPIC array data


Functions for compositional analysis of high throughput sequencing


Official TagMe API wrapper for Python.


A clean implementation of MuZero and AlphaZero following the AlphaZero General framework. Train and Pit both algorithms against each other, and investigate reliability of learned MuZero MDP models.


Official Implementation of StyleTTS


[NeurIPS 2021] [T-PAMI] DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification


A combination of Autoencoder and Robust PCA


Code and data of ACL 2021 paper "Few-NERD: A Few-shot Named Entity Recognition Dataset"


The event mention detection and corefrene evaluators, and associated utilities (converters, validators)


[ACM MM2019] Learning Semantics-aware Distance Map with Semantics Layering Network for Amodal Instance Segmentation


Import Climate Indices into R


pyan is a Python module that performs static analysis of Python code to determine a call dependency graph between functions and methods. This is different from running the code and seeing which functions are called and how often; there are various tools that will generate a call graph in that way, usually using debugger or profiling trace hooks - for example: https://pycallgraph.readthedocs.org/  This code was originally written by Edmund Horner, and then modified by Juha Jeronen. See README for the original blog posts and links to their repositories.


Optimizing control variates for black-box gradient estimation


A Simple, High-efficiency, Strong framework for person re-Identification.


Fine-tuned  MARL algorithms on SMAC (100% win rates on most scenarios)


Extremely simple and fast extreme multi-class and multi-label classifiers.


Tool for Quantitative Analysis and Visualization of Land Use and Land Cover Change.


A package for tree-based statistical estimation and inference using optimal decision trees.


Repo for R package to query and download WFD data from the EA Catchment Data Explorer site


Guideline for AI based Medical Devices


SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression


Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems


A set of deep learning models for FRB/RFI binary classification.


Keras implementation of ViT (Vision Transformer)


PyCIL: A Python Toolbox for Class-Incremental Learning


A versatile tool to perform pile-up analysis on Hi-C data in .cool format.


Tinker-HP: High-Performance Massively Parallel Evolution of Tinker on CPUs & GPUs


Various public documents, whitepapers and articles about APT campaigns


Video codec based point cloud compression (V-PCC) test model


Library of released PBPK substance models and evaluation reports


An implementation of Hoare and He's Unifying Theories of Programming in Isabelle


SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms.


eco2AI is a python library which accumulates statistics about power consumption and CO2 emission during running code.


An integrated high performance bioinformatics toolkit


tool for rendering populations of dark matter halos for gravitational lensing simulations


Simulation for survey (cadence, strategy) based on Python


Python Library for Signal/Image Data Analysis with Transport Methods


Code used for evaluation and baselines in the PAN shared tasks.


A pixel classification based multiplexed image segmentation pipeline


Galaxy Federated Learning Framework （星际联邦学习框架）


MCMC sample analysis, kernel densities, plotting, and GUI


BayesfMRI R package


The OLD Gazebo Simulation repository.


GT4SD, an open-source library to accelerate hypothesis generation in the scientific discovery process.


A library for lattice-based multiparty homomorphic encryption in Go


A DNS and LES box code


Awesome work on hand pose estimation/tracking


Resource Watch features hundreds of data sets all in one place on the state of the planet’s resources and citizens. Users can visualize challenges facing people and the planet, from climate change to poverty, water risk to state instability, air pollution to human migration, and more.


A high performance caching library for Java


A library for transfer learning by reusing parts of TensorFlow models.


tools for error correction and working with long read data


cleanning up Persian text!


collection of scripts and commands used by Ian Korf, Keith Bradnam, and Joe Fass in the analysis of Assemblathon 2 entries (assemblies)


Matlab Code for Restricted/Deep Boltzmann Machines and Autoencoders


[ICCV'19] WSOD^2: Learning Bottom-up and Top-down Objectness Distillation for Weakly-supervised Object Detection


Detect model's attention


Integrative orthogonal non-negative matrix factorization


Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence


Implementation of Real NVP in PyTorch


Python package for modular Bayesian optimization


Various scripts and recipes for working with nanopore data


This is the official implementation of "Everything at Once - Multi-modal Fusion Transformer for Video Retrieval". CVPR 2022


Language Models Can See: Plugging Visual Controls in Text Generation


The author's officially unofficial Pytorch EvolutionaryGAN implementation.


Pytorch Implementation of Neural Architecture Optimization


This is the implementation of our Interspeech 2021 paper: Limited data emotional voice conversion leveraging text-to-speech: two-stage sequence-to-sequence training.


PyTorch implementation of realNVP


Generative adversarial networks for single-cell RNA-seq imputation


Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.


Code for GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation (SIGIR 2020)


Pairing-based cryptography for Go


Robustness for Non-Parametric Classification: A Generic Attack and Defense


Code to reproduce data for Bias in Bios


All scripts used for the analysis of the twilight of the pan-genome, and scripts available for others to apply similar analysis


Reinforcement Learning Methods with PyTorch


Bitcoin Network Probing Tool


Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.


DTVNet: Dynamic Time-lapse Video Generation via Single Still Image, ECCV'20 Spotlight.


A PyTorch-based Semi-Supervised Learning (SSL) Codebase for Pixel-wise (Pixel) Vision Tasks [ECCV 2020]


A PyTorch implementation of Mnemonic Reader for the Machine Comprehension task


Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations


A library for classifying single-lead ECG waveforms as either Normal Sinus Rhythm, Atrial Fibrillation, or Other Rhythm.


The core definition and classes of the World Wide Charging Protocol Suite


This dataset contains normal images and images with fire. It is highly unbalanced to reciprocate real world situations. It consists of a variety of scenarios and different fire situations (intensity, luminosity, size, environment etc).


A data set regarding news veracity on social media. Published at ICWSM-18.


A PyTorch implementation of "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" (see recipes in aps framework https://github.com/funcwj/aps)


Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model


Semantic Technologies for the AIDA project


This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)


Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering


Submission for MAVEN: Multi-Agent Variational Exploration


Provable adversarial robustness at ImageNet scale


Sign Language Translation with Transformers (COLING'2020, ECCV'20 SLRTP Workshop)


Compute mean telomere length from Whole Genome Sequencing data.


More efficient exploration for reinforcement learning in two-player, zero-sum game


A collection of RL algorithms written in JAX.


This is the project for DreamStone: TPAMI & ISS: ICLR 2023 spotlight


A tool to detect integer bugs in Ethereum smart contracts (ACSAC 2018).


Realistic Lens Blur/Chromatic Aberration Filter


BERT classification model for processing texts longer than 512 tokens. Text is first divided into smaller chunks and after feeding them to BERT, intermediate results are pooled. The implementation allows fine-tuning.


A Simple Convolutional Generative Network for Next Item Recommendation


Detect and segment individual tree from remotely sensed data


DMControl Generalization Benchmark


Detecting somatic mutations and predicting tumor-specific neo-antigens


Graph convolutional recurrent neural network


Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch


[ECCV 2020] PyTorch code for XML on TVRetrieval dataset - TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval


A simple PyTorch implementation of influence functions.


Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark dataset Office31.


RAD: Reinforcement Learning with Augmented Data


[ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.


Official implementation for "EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations" (NIPS 2022)


Mitigation of periodic as well as narrow-band and spiky/bursty RFI from time-domain filterbank data.


Principled Detection of Out-of-Distribution Examples in Neural Networks


SpectRes is a Python module which efficiently resamples spectra and their associated uncertainties onto an arbitrary wavelength grid. Read the documentation at