11894 Repositories
Python PyTorch-trainer-and-model-for-Sequence-Classification Libraries
1st ranked 'driver careless behavior detection' for AI Online Competition 2021, hosted by MSIT Korea.
2021AICompetition-03 본 repo 는 mAy-I Inc. 팀으로 참가한 2021 인공지능 온라인 경진대회 중 [이미지] 운전 사고 예방을 위한 운전자 부주의 행동 검출 모델] 태스크 수행을 위한 레포지토리입니다. mAy-I 는 과학기술정보통신부가 주최하
[ICCV'21] Neural Radiance Flow for 4D View Synthesis and Video Processing
NeRFlow [ICCV'21] Neural Radiance Flow for 4D View Synthesis and Video Processing Datasets The pouring dataset used for experiments can be download he
TLDR: Twin Learning for Dimensionality Reduction
TLDR (Twin Learning for Dimensionality Reduction) is an unsupervised dimensionality reduction method that combines neighborhood embedding learning with the simplicity and effectiveness of recent self-supervised learning losses.
A CLI tool to disable and enable security standards controls in AWS Security Hub
Security Hub Controls CLI A CLI tool to disable and enable security standards controls in AWS Security Hub. It is designed to work together with AWS S
This repo includes our code for evaluating and improving transferability in domain generalization (NeurIPS 2021)
Transferability for domain generalization This repo is for evaluating and improving transferability in domain generalization (NeurIPS 2021), based on
A simple DHCP server and client simulation with python
About The Project This is a simple DHCP server and client simulation. I implemented it for computer network course spring 2021 The client can request
This script fully automates of downloading tiktok videos, editing them,compiling them and finally uploading them to youtube.
This script fully automates of downloading tiktok videos, editing them,compiling them and finally uploading them to youtube. If you wanted to create a tiktok video compiilation youtubbe channel this script is here to help you :D
TorchSSL: A PyTorch-based Toolbox for Semi-Supervised Learning
TorchSSL: A PyTorch-based Toolbox for Semi-Supervised Learning
PyTorch wrappers for using your model in audacity!
PyTorch wrappers for using your model in audacity!
Learning Fair Representations for Recommendation: A Graph-based Perspective, WWW2021
FairGo WWW2021 Learning Fair Representations for Recommendation: A Graph-based Perspective As a key application of artificial intelligence, recommende
A PyTorch implementation of "Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information" (WSDM 2021)
FairGNN A PyTorch implementation of "Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information" (
Code for KHGT model, AAAI2021
KHGT Code for KHGT accepted by AAAI2021 Please unzip the data files in Datasets/ first. To run KHGT on Yelp data, use python labcode_yelp.py For Movi
An Efficient and Effective Framework for Session-based Social Recommendation
SEFrame This repository contains the code for the paper "An Efficient and Effective Framework for Session-based Social Recommendation". Requirements P
[ICDMW 2020] Code and dataset for "DGTN: Dual-channel Graph Transition Network for Session-based Recommendation"
DGTN: Dual-channel Graph Transition Network for Session-based Recommendation This repository contains PyTorch Implementation of ICDMW 2020 (NeuRec @ I
Incorporating User Micro-behaviors and Item Knowledge 59 60 3 into Multi-task Learning for Session-based Recommendation
MKM-SR Incorporating User Micro-behaviors and Item Knowledge into Multi-task Learning for Session-based Recommendation Paper data and code This is the
Attentive Social Recommendation: Towards User And Item Diversities
ASR This is a Tensorflow implementation of the paper: Attentive Social Recommendation: Towards User And Item Diversities Preprint, https://arxiv.org/a
Graph Neural Network based Social Recommendation Model. SIGIR2019.
Basic Information: This code is released for the papers: Le Wu, Peijie Sun, Yanjie Fu, Richang Hong, Xiting Wang and Meng Wang. A Neural Influence Dif
A tensorflow implementation of the RecoGCN model in a CIKM'19 paper, titled with "Relation-Aware Graph Convolutional Networks for Agent-Initiated Social E-Commerce Recommendation".
This repo contains a tensorflow implementation of RecoGCN and the experiment dataset Running the RecoGCN model python train.py Example training outp
ALL Snow Removed: Single Image Desnowing Algorithm Using Hierarchical Dual-tree Complex Wavelet Representation and Contradict Channel Loss (HDCWNet)
ALL Snow Removed: Single Image Desnowing Algorithm Using Hierarchical Dual-tree Complex Wavelet Representation and Contradict Channel Loss (HDCWNet) (
[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis
Focal Frequency Loss - Official PyTorch Implementation This repository provides the official PyTorch implementation for the following paper: Focal Fre
CaFM-pytorch ICCV ACCEPT Introduction of dataset VSD4K
CaFM-pytorch ICCV ACCEPT Introduction of dataset VSD4K Our dataset VSD4K includes 6 popular categories: game, sport, dance, vlog, interview and city.
Official implementation of "Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transform", ICCV 2021
Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transform This repository is the implementation of "Variable-Rate Deep Image C
PyTorch implementation of paper "StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement" (ICCV 2021 Oral)
StarEnhancer StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement (ICCV 2021 Oral) Abstract: Image enhancement is a subjective process w
Implementation of ICCV 2021 oral paper -- A Novel Self-Supervised Learning for Gaussian Mixture Model
SS-GMM Implementation of ICCV 2021 oral paper -- Self-Supervised Image Prior Learning with GMM from a Single Noisy Image with supplementary material R
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV, 2021) (PyTorch) - We released the training code!
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution Kai Zhang, Jingyun Liang, Luc Van Gool, Radu Timofte Computer Vision Lab
CR-Fill: Generative Image Inpainting with Auxiliary Contextual Reconstruction. ICCV 2021
crfill Usage | Web App | | Paper | Supplementary Material | More results | code for paper ``CR-Fill: Generative Image Inpainting with Auxiliary Contex
A Collection of Papers and Codes for ICCV2021 Low Level Vision and Image Generation
A Collection of Papers and Codes for ICCV2021 Low Level Vision and Image Generation
High-Fidelity Pluralistic Image Completion with Transformers (ICCV 2021)
Image Completion Transformer (ICT) Project Page | Paper (ArXiv) | Pre-trained Models | Supplemental Material This repository is the official pytorch i
Official implementation for paper: A Latent Transformer for Disentangled Face Editing in Images and Videos.
A Latent Transformer for Disentangled Face Editing in Images and Videos Official implementation for paper: A Latent Transformer for Disentangled Face
impy is an all-in-one image analysis library, equipped with parallel processing, GPU support, GUI based tools and so on.
impy is All You Need in Image Analysis impy is an all-in-one image analysis library, equipped with parallel processing, GPU support, GUI based tools a
Vignette is a Python library to create and manage thumbnails following the FreeDesktop standard.
Vignette Vignette is a Python library to create and manage thumbnails following the FreeDesktop standard. Thumbnails are stored in a shared directory
Fast Style Transfer in TensorFlow
Fast Style Transfer in TensorFlow Add styles from famous paintings to any photo in a fraction of a second! You can even style videos! It takes 100ms o
An Image Captioning codebase
An Image Captioning codebase This is a codebase for image captioning research. It supports: Self critical training from Self-critical Sequence Trainin
A Multi-attribute Controllable Generative Model for Histopathology Image Synthesis
A Multi-attribute Controllable Generative Model for Histopathology Image Synthesis This is the pytorch implementation for our MICCAI 2021 paper. A Mul
Python script for performing depth completion from sparse depth and rgb images using the msg_chn_wacv20. model in Tensorflow Lite.
TFLite-msg_chn_wacv20-depth-completion Python script for performing depth completion from sparse depth and rgb images using the msg_chn_wacv20. model
GAN Image Generator and Characterwise Image Recognizer with python
MODEL SUMMARY 모델의 구조는 크게 6단계로 나뉩니다. STEP 0: Input Image Predict 할 이미지를 모델에 입력합니다. STEP 1: Make Black and White Image STEP 1 은 입력받은 이미지의 글자를 흑색으로, 배경을
Web Scraping, Document Deduplication & GPT-2 Fine-tuning with a newly created scam dataset.
Web Scraping, Document Deduplication & GPT-2 Fine-tuning with a newly created scam dataset.
A Python and R autograding solution
Otter-Grader Otter Grader is a light-weight, modular open-source autograder developed by the Data Science Education Program at UC Berkeley. It is desi
A collection of neat and practical data science and machine learning projects
Data Science A collection of neat and practical data science and machine learning projects Explore the docs » Report Bug · Request Feature Table of Co
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Cookiecutter Data Science A logical, reasonably standardized, but flexible project structure for doing and sharing data science work. Project homepage
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
LGPL Pure Python OPC-UA Client and Server
LGPL Pure Python OPC-UA Client and Server
PyTorch implementation of TSception V2 using DEAP dataset
TSception This is the PyTorch implementation of TSception V2 using DEAP dataset in our paper: Yi Ding, Neethu Robinson, Su Zhang, Qiuhao Zeng, Cuntai
OpenGait is a flexible and extensible gait recognition project
A flexible and extensible framework for gait recognition. You can focus on designing your own models and comparing with state-of-the-arts easily with the help of OpenGait.
A Discord bot to easily and quickly format your JSON data
Invite PrettyJSON to your Discord server Table of contents About the project What is JSON? What is pretty printing? How to use Input options Command I
face property detection pytorch
This is the face property train code of project face-detection-project
Barbot is a discord bot made from discord.py and python, barbot is most to fun and roleplay for servers!
BarBot Main source of barbot Overview Barbot is a discord bot made from discord.py and python, barbot is most to fun and roleplay for servers! Links i
Code for binary and multiclass model change active learning, with spectral truncation implementation.
Model Change Active Learning Paper (To Appear) Python code for doing active learning in graph-based semi-supervised learning (GBSSL) paradigm. Impleme
Development of IP code based on VIPs and AADM
Sparse Implicit Processes In this repository we include the two different versions of the SIP code developed for the article Sparse Implicit Processes
The official repository for our paper "The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization".
Codebase for learning control flow in transformers The official repository for our paper "The Neural Data Router: Adaptive Control Flow in Transformer
Acoustic mosquito detection code with Bayesian Neural Networks
HumBugDB Acoustic mosquito detection with Bayesian Neural Networks. Extract audio or features from our large-scale dataset on Zenodo. This repository
Source code for CAST - Crisis Domain Adaptation Using Sequence-to-sequence Transformers (Accepted to ISCRAM 2021, CorePaper).
Source code for CAST: Crisis Domain Adaptation UsingSequence-to-sequenceTransformers (Paper, BibTeX, Accepted to ISCRAM 2021, CorePaper) Quick start D
Anomaly detection in multi-agent trajectories: Code for training, evaluation and the OpenAI highway simulation.
Anomaly Detection in Multi-Agent Trajectories for Automated Driving This is the official project page including the paper, code, simulation, baseline
Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations)
Graph Neural Networks with Learnable Structural and Positional Representations Source code for the paper "Graph Neural Networks with Learnable Structu
Joint Channel and Weight Pruning for Model Acceleration on Mobile Devices
Joint Channel and Weight Pruning for Model Acceleration on Mobile Devices Abstract For practical deep neural network design on mobile devices, it is e
Toolkit for collecting and applying prompts
PromptSource Promptsource is a toolkit for collecting and applying prompts to NLP datasets. Promptsource uses a simple templating language to programa
Source code for Transformer-based Multi-task Learning for Disaster Tweet Categorisation (UCD's participation in TREC-IS 2020A, 2020B and 2021A).
Source code for "UCD participation in TREC-IS 2020A, 2020B and 2021A". *** update at: 2021/05/25 This repo so far relates to the following work: Trans
A Dataset for Direct Quotation Extraction and Attribution in News Articles.
DirectQuote - A Dataset for Direct Quotation Extraction and Attribution in News Articles DirectQuote is a corpus containing 19,760 paragraphs and 10,3
NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem
NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem Liang Xin, Wen Song, Zhiguang
End-to-End Speech Processing Toolkit
ESPnet: end-to-end speech processing toolkit system/pytorch ver. 1.3.1 1.4.0 1.5.1 1.6.0 1.7.1 1.8.1 1.9.0 ubuntu20/python3.9/pip ubuntu20/python3.8/p
Search, generate & deliver Msfvenom payloads in an quick and easy way
Goal Search, generate & deliver payloads in an quick and easy way Be as simple as possible BUT with all msfvenom payloads. Ever lost time searching th
CPC-big and k-means clustering for zero-resource speech processing
The CPC-big model and k-means checkpoints used in Analyzing Speaker Information in Self-Supervised Models to Improve Zero-Resource Speech Processing.
Hexagon game. Two players: AI and User. Implemented using Alpha-Beta pruning to find optimal solution for agent.
Hexagon game. Two players: AI and User. Implemented using Alpha-Beta pruning to find optimal solution for agent.
collect training and calibration data for gaze tracking
Collect Training and Calibration Data for Gaze Tracking This tool allows collecting gaze data necessary for personal calibration or training of eye-tr
LOT: A Benchmark for Evaluating Chinese Long Text Understanding and Generation
LOT: A Benchmark for Evaluating Chinese Long Text Understanding and Generation Tasks | Datasets | LongLM | Baselines | Paper Introduction LOT is a ben
Official implementation for paper: A Latent Transformer for Disentangled Face Editing in Images and Videos.
A Latent Transformer for Disentangled Face Editing in Images and Videos Official implementation for paper: A Latent Transformer for Disentangled Face
Data and code for ICCV 2021 paper Distant Supervision for Scene Graph Generation.
Distant Supervision for Scene Graph Generation Data and code for ICCV 2021 paper Distant Supervision for Scene Graph Generation. Introduction The pape
Modifications of the official PyTorch implementation of StyleGAN3. Let's easily generate images and videos with StyleGAN2/2-ADA/3!
Alias-Free Generative Adversarial Networks (StyleGAN3) Official PyTorch implementation of the NeurIPS 2021 paper Alias-Free Generative Adversarial Net
rliable is an open-source Python library for reliable evaluation, even with a handful of runs, on reinforcement learning and machine learnings benchmarks.
Open-source library for reliable evaluation on reinforcement learning and machine learning benchmarks. See NeurIPS 2021 oral for details.
MOSP is a platform for creating, editing and sharing validated JSON objects of any type.
MONARC Objects Sharing Platform Presentation MOSP is a platform for creating, editing and sharing validated JSON objects of any type. You can use any
SciBERT is a BERT model trained on scientific text.
SciBERT is a BERT model trained on scientific text.
The code from the Machine Learning Bookcamp book and a free course based on the book
The code from the Machine Learning Bookcamp book and a free course based on the book
Documentation and issues for Pylance - Fast, feature-rich language support for Python
Documentation and issues for Pylance - Fast, feature-rich language support for Python
Coarse implement of the paper "A Simultaneous Denoising and Dereverberation Framework with Target Decoupling", On DNS-2020 dataset, the DNSMOS of first stage is 3.42 and second stage is 3.47.
SDDNet Coarse implement of the paper "A Simultaneous Denoising and Dereverberation Framework with Target Decoupling", On DNS-2020 dataset, the DNSMOS
Random maze generator and solver
Maze Generator and Solver I wrote a maze generator that works with two commonly known algorithms: Depth First Search and Randomized Prims. Both of the
utoken is a multilingual tokenizer that divides text into words, punctuation and special tokens such as numbers, URLs, XML tags, email-addresses and hashtags.
utoken utoken is a multilingual tokenizer that divides text into words, punctuation and special tokens such as numbers, URLs, XML tags, email-addresse
Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System
Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System Authors: Yixuan Su, Lei Shu, Elman Mansimov, Arshit Gupta, Deng Cai, Yi-An Lai
Weakly-supervised Text Classification Based on Keyword Graph
Weakly-supervised Text Classification Based on Keyword Graph How to run? Download data Our dataset follows previous works. For long texts, we follow C
PyTorch implementation of Munchausen Reinforcement Learning based on DQN and SAC. Handles discrete and continuous action spaces
Exploring Munchausen Reinforcement Learning This is the project repository of my team in the "Advanced Deep Learning for Robotics" course at TUM. Our
Classes and functions for animated text and graphics on an LED display
LEDarcade A collection of classes and functions for animated text and graphics on an Adafruit LED Matrix.
This is the repository that includes the code material for the ESweek 2021 for the Education Class Lecture A3 "Learn to Drive (and Race!) Autonomous Vehicles"
ESweek2021_educationclassA3 This is the repository that includes the code material for the ESweek 2021 for the Education Class Lecture A3 "Learn to Dr
Indobenchmark are collections of Natural Language Understanding (IndoNLU) and Natural Language Generation (IndoNLG)
Indobenchmark Toolkit Indobenchmark are collections of Natural Language Understanding (IndoNLU) and Natural Language Generation (IndoNLG) resources fo
Market calendar RESTful API with holiday, late open, and early close. Over 50+ unique exchange calendars for global equity and futures markets.
Trading Calendar Market calendar RESTful API with holiday, late open, and early close. Over 50+ unique exchange calendars for global equity and future
Module is created to build a spam filter using Python and the multinomial Naive Bayes algorithm.
Naive-Bayes Spam Classificator Module is created to build a spam filter using Python and the multinomial Naive Bayes algorithm. Main goal is to code a
Quick and dirty script to fix MD5 hashes in poetry.lock file
fix-poetry-md5-hash Quick and dirty script to fix MD5 hashes in poetry.lock file. Usage: poetry run fix-poetry-md5-hash
We have a dataset of user performances. The project is to develop a machine learning model that will predict the salaries of baseball players.
Salary-Prediction-with-Machine-Learning 1. Business Problem Can a machine learning project be implemented to estimate the salaries of baseball players
This is an app that allows users to upload photos and display and store the photos in a file until the user deletes them.
Qt Photo App This is an app that allows users to upload photos and display and store the photos in a file until the user deletes them. Setup python3 -
PyTorch implementation of our method for adversarial attacks and defenses in hyperspectral image classification.
Self-Attention Context Network for Hyperspectral Image Classification PyTorch implementation of our method for adversarial attacks and defenses in hyp
Datashredder is a simple data corruption engine written in python. You can corrupt anything text, images and video.
Datashredder is a simple data corruption engine written in python. You can corrupt anything text, images and video. You can chose the cha
[ACM MM 2021] Diverse Image Inpainting with Bidirectional and Autoregressive Transformers
Diverse Image Inpainting with Bidirectional and Autoregressive Transformers Installation pip install -r requirements.txt Dataset Preparation Given the
A Python tool to generate and refresh Amazon access tokens.
amazon_auth A Python tool to generate and refresh Amazon access tokens. Description This tool generates and outputs Amazon access and refresh tokens f
A simple language and reference decompiler/compiler for MHW THK Files
Leviathon A simple language and reference decompiler/compiler for MHW THK Files. Project Goals The project aims to define a language specification for
A handy command-line utility for generating and sending iCalendar events
A handy command-line utility for generating and sending iCalendar events This simple command-line utility is designed to generate an iCalendar event,
This is a crypto trading bot that scans the Binance Annoucements page for new coins, and places trades on Gateio
gateio-trading-bot-binance-announcements This Gateio x Binance cryptocurrency trading bot scans the Binance Announcements page and picks up on new coi
Monitor creation, deletion and changes to LDAP objects live during your pentest or system administration!
LDAP Monitor Monitor creation, deletion and changes to LDAP objects live during your pentest or system administration! With this tool you can quickly
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Tensor2Tensor Tensor2Tensor, or T2T for short, is a library of deep learning models and datasets designed to make deep learning more accessible and ac
Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)
Vision Transformer Pytorch reimplementation of Google's repository for the ViT model that was released with the paper An Image is Worth 16x16 Words: T
Overview of architecture and implementation of TEDS-Net, as described in MICCAI 2021: "TEDS-Net: Enforcing Diffeomorphisms in Spatial Transformers to Guarantee TopologyPreservation in Segmentations"
TEDS-Net Overview of architecture and implementation of TEDS-Net, as described in MICCAI 2021: "TEDS-Net: Enforcing Diffeomorphisms in Spatial Transfo
You can encode and decode base85, ascii85, base64, base32, and base16 with this tool.
You can encode and decode base85, ascii85, base64, base32, and base16 with this tool.
Terraform module to ship CloudTrail logs stored in a S3 bucket into a Kinesis stream for further processing and real-time analysis.
AWS infrastructure to ship CloudTrail logs from S3 to Kinesis This repository contains a Terraform module to ship CloudTrail logs stored in a S3 bucke