7272 Repositories
Python Deep-Learning-based-Spectrum-Sensing Libraries
FastAPI Admin Dashboard based on FastAPI and Tortoise ORM.
FastAPI ADMIN 中文文档 Introduction FastAPI-Admin is a admin dashboard based on fastapi and tortoise-orm. FastAPI-Admin provide crud feature out-of-the-bo
Web crawling framework based on asyncio.
Web crawling framework for everyone. Written with asyncio, uvloop and aiohttp. Requirements Python3.5+ Installation pip install gain pip install uvloo
Async Python 3.6+ web scraping micro-framework based on asyncio
Ruia 🕸️ Async Python 3.6+ web scraping micro-framework based on asyncio. ⚡ Write less, run faster. Overview Ruia is an async web scraping micro-frame
A Smart, Automatic, Fast and Lightweight Web Scraper for Python
AutoScraper: A Smart, Automatic, Fast and Lightweight Web Scraper for Python This project is made for automatic web scraping to make scraping easy. It
Distributed Crawler Management Framework Based on Scrapy, Scrapyd, Django and Vue.js
Gerapy Distributed Crawler Management Framework Based on Scrapy, Scrapyd, Scrapyd-Client, Scrapyd-API, Django and Vue.js. Documentation Documentation
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
Pattern Pattern is a web mining module for Python. It has tools for: Data Mining: web services (Google, Twitter, Wikipedia), web crawler, HTML DOM par
🐍 The official Python client library for Google's discovery based APIs.
Google API Client This is the Python client library for Google's discovery based APIs. To get started, please see the docs folder. These client librar
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Best-of Machine Learning with Python 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly. This curated list contains 840 awe
A modern API testing tool for web applications built with Open API and GraphQL specifications.
Schemathesis Schemathesis is a modern API testing tool for web applications built with Open API and GraphQL specifications. It reads the application s
A command-line tool and Python library and Pytest plugin for automated testing of RESTful APIs, with a simple, concise and flexible YAML-based syntax
1.0 Release See here for details about breaking changes with the upcoming 1.0 release: https://github.com/taverntesting/tavern/issues/495 Easier API t
NLP Core Library and Model Zoo based on PaddlePaddle 2.0
PaddleNLP 2.0拥有丰富的模型库、简洁易用的API与高性能的分布式训练的能力,旨在为飞桨开发者提升文本建模效率,并提供基于PaddlePaddle 2.0的NLP领域最佳实践。
Implementation of Feedback Transformer in Pytorch
Feedback Transformer - Pytorch Simple implementation of Feedback Transformer in Pytorch. They improve on Transformer-XL by having each token have acce
Only a Matter of Style: Age Transformation Using a Style-Based Regression Model
Only a Matter of Style: Age Transformation Using a Style-Based Regression Model The task of age transformation illustrates the change of an individual
Implementation of trRosetta and trDesign for Pytorch, made into a convenient package
trRosetta - Pytorch (wip) Implementation of trRosetta and trDesign for Pytorch, made into a convenient package
PyTorch code for the paper: FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning
FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning This is the PyTorch implementation of our paper: FeatMatch: Feature-Based Augmentat
Transformer-based Text Auto-encoder (T-TA) using TensorFlow 2.
T-TA (Transformer-based Text Auto-encoder) This repository contains codes for Transformer-based Text Auto-encoder (T-TA, paper: Fast and Accurate Deep
Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
DALL-E in Pytorch Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch. It will also contain CLIP for ranking the ge
Deploy a ML inference service on a budget in less than 10 lines of code.
BudgetML is perfect for practitioners who would like to quickly deploy their models to an endpoint, but not waste a lot of time, money, and effort trying to figure out how to do this end-to-end.
PORORO: Platform Of neuRal mOdels for natuRal language prOcessing
PORORO: Platform Of neuRal mOdels for natuRal language prOcessing pororo performs Natural Language Processing and Speech-related tasks. It is easy to
Collection of tasks for fast prototyping, baselining, finetuning and solving problems with deep learning.
Collection of tasks for fast prototyping, baselining, finetuning and solving problems with deep learning Installation
An implementation of Deep Forest 2021.2.1.
Deep Forest (DF) 21 DF21 is an implementation of Deep Forest 2021.2.1. It is designed to have the following advantages: Powerful: Better accuracy than
Learning Continuous Image Representation with Local Implicit Image Function
LIIF This repository contains the official implementation for LIIF introduced in the following paper: Learning Continuous Image Representation with Lo
Implementation of Bottleneck Transformer in Pytorch
Bottleneck Transformer - Pytorch Implementation of Bottleneck Transformer, SotA visual recognition model with convolution + attention that outperforms
Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing
Trankit: A Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing Trankit is a light-weight Transformer-based Pyth
PIKA: a lightweight speech processing toolkit based on Pytorch and (Py)Kaldi
PIKA: a lightweight speech processing toolkit based on Pytorch and (Py)Kaldi PIKA is a lightweight speech processing toolkit based on Pytorch and (Py)
机器学习、深度学习、自然语言处理等人工智能基础知识总结。
说明 机器学习、深度学习、自然语言处理基础知识总结。 目前主要参考李航老师的《统计学习方法》一书,也有一些内容例如XGBoost、聚类、深度学习相关内容、NLP相关内容等是书中未提及的。
A generic, spec-compliant, thorough implementation of the OAuth request-signing logic
OAuthLib - Python Framework for OAuth1 & OAuth2 *A generic, spec-compliant, thorough implementation of the OAuth request-signing logic for Python 3.5+
Meinheld is a high performance asynchronous WSGI Web Server (based on picoev)
What's this This is a high performance python wsgi web server. And Meinheld is a WSGI compliant web server. (PEP333 and PEP3333 supported) You can als
Coroutine-based concurrency library for Python
gevent Read the documentation online at http://www.gevent.org. Post issues on the bug tracker, discuss and ask open ended questions on the mailing lis
A modern/fast python SOAP client based on lxml / requests
Zeep: Python SOAP client A fast and modern Python SOAP client Highlights: Compatible with Python 3.6, 3.7, 3.8 and PyPy Build on top of lxml and reque
Free and open source full-stack enterprise framework for agile development of secure database-driven web-based applications, written and programmable in Python.
Readme web2py is a free open source full-stack framework for rapid development of fast, scalable, secure and portable database-driven web-based applic
An implementation of model parallel GPT-3-like models on GPUs, based on the DeepSpeed library. Designed to be able to train models in the hundreds of billions of parameters or larger.
GPT-NeoX An implementation of model parallel GPT-3-like models on GPUs, based on the DeepSpeed library. Designed to be able to train models in the hun
TimeTagger is a web-based time-tracking solution that can be run locally or on a server
TimeTagger is a web-based time-tracking solution that can be run locally or on a server. In the latter case, you'll want to add authentication, and also be aware of the license restrictions.
⚾🤖⚾ Automatic baseball pitching overlay in realtime
⚾ Automatically overlaying pitch motion and trajectory with machine learning! This project takes your baseball pitching clips and automatically genera
Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network)
Deep Daze mist over green hills shattered plates on the grass cosmic love and attention a time traveler in the crowd life during the plague meditative
Command-line tool for looking up colors and palettes.
Colorpedia Colorpedia is a command-line tool for looking up colors, shades and palettes. Supported color models: HEX, RGB, HSL, HSV, CMYK. Requirement
A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN
artificial intelligence cosmic love and attention fire in the sky a pyramid made of ice a lonely house in the woods marriage in the mountains lantern
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting This is the origin Pytorch implementation of Informer in the followin
🛠️ Learn a technology X by doing a project - Search engine of project-based learning
Learn X by doing Y 🛠️ Learn a technology X by doing a project Y Website You can contribute by adding projects to the CSV file.
Implementation of the Point Transformer layer, in Pytorch
Point Transformer - Pytorch Implementation of the Point Transformer self-attention layer, in Pytorch. The simple circuit above seemed to have allowed
A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.
WILDS is a benchmark of in-the-wild distribution shifts spanning diverse data modalities and applications, from tumor identification to wildlife monitoring to poverty mapping.
Graph Transformer Architecture. Source code for
Graph Transformer Architecture Source code for the paper "A Generalization of Transformer Networks to Graphs" by Vijay Prakash Dwivedi and Xavier Bres
RLStructures is a library to facilitate the implementation of new reinforcement learning algorithms.
RLStructures is a lightweight Python library that provides simple APIs as well as data structures that make as few assumptions as possibl
Script utilizando OpenCV e modelo Machine Learning para detectar o uso de máscaras.
Reconhecendo máscaras Este repositório contém um script em Python3 que reconhece se um rosto está ou não portando uma máscara! O código utiliza da bib
Big Bird: Transformers for Longer Sequences
BigBird, is a sparse-attention based transformer which extends Transformer based models, such as BERT to much longer sequences. Moreover, BigBird comes along with a theoretical understanding of the capabilities of a complete transformer that the sparse model can handle.
SWA Object Detection
SWA Object Detection This project hosts the scripts for training SWA object detectors, as presented in our paper: @article{zhang2020swa, title={SWA
Bidirectional Variational Inference for Non-Autoregressive Text-to-Speech (BVAE-TTS)
Bidirectional Variational Inference for Non-Autoregressive Text-to-Speech (BVAE-TTS) Yoonhyung Lee, Joongbo Shin, Kyomin Jung Abstract: Although early
AWS DeepRacer Free Student Workshop: Run faster by using your custom waypoints
AWS DeepRacer Free Student Workshop: Run faster by using your custom waypoints Reward Function Template for waypoints def reward_function(params):
Distributed Asynchronous Hyperparameter Optimization better than HyperOpt.
UltraOpt : Distributed Asynchronous Hyperparameter Optimization better than HyperOpt. UltraOpt is a simple and efficient library to minimize expensive
Learning to Simulate Dynamic Environments with GameGAN (CVPR 2020)
Learning to Simulate Dynamic Environments with GameGAN PyTorch code for GameGAN Learning to Simulate Dynamic Environments with GameGAN Seung Wook Kim,
Explainability for Vision Transformers (in PyTorch)
Explainability for Vision Transformers (in PyTorch) This repository implements methods for explainability in Vision Transformers
Command line animations based on the state of the system
shell-emotions Command line animations based on the state of the system for Linux or Windows 10 The ascii animations were created using a modified ver
Code for the paper Learning the Predictability of the Future
Learning the Predictability of the Future Code from the paper Learning the Predictability of the Future. Website of the project in hyperfuture.cs.colu
State of the Art Neural Networks for Deep Learning
pyradox This python library helps you with implementing various state of the art neural networks in a totally customizable fashion using Tensorflow 2
A curses based mpd client with basic functionality and album art.
Miniplayer A curses based mpd client with basic functionality and album art. After installation, the player can be opened from the terminal with minip
PhoNLP: A BERT-based multi-task learning toolkit for part-of-speech tagging, named entity recognition and dependency parsing
PhoNLP is a multi-task learning model for joint part-of-speech (POS) tagging, named entity recognition (NER) and dependency parsing. Experiments on Vietnamese benchmark datasets show that PhoNLP produces state-of-the-art results, outperforming a single-task learning approach that fine-tunes the pre-trained Vietnamese language model PhoBERT for each task independently.
Official TensorFlow code for the forthcoming paper
~ Efficient-CapsNet ~ Are you tired of over inflated and overused convolutional neural networks? You're right! It's time for CAPSULES :)
Implementation of SE3-Transformers for Equivariant Self-Attention, in Pytorch.
SE3 Transformer - Pytorch Implementation of SE3-Transformers for Equivariant Self-Attention, in Pytorch. May be needed for replicating Alphafold2 resu
Performant, differentiable reinforcement learning
deluca Performant, differentiable reinforcement learning Notes This is pre-alpha software and is undergoing a number of core changes. Updates to follo
An open framework for Federated Learning.
Welcome to Intel® Open Federated Learning Federated learning is a distributed machine learning approach that enables organizations to collaborate on m
Implementation of Lie Transformer, Equivariant Self-Attention, in Pytorch
Lie Transformer - Pytorch (wip) Implementation of Lie Transformer, Equivariant Self-Attention, in Pytorch. Only the SE3 version will be present in thi
Implementation of the Angular Spectrum method in Python to simulate Diffraction Patterns
Diffraction Simulations - Angular Spectrum Method Implementation of the Angular Spectrum method in Python to simulate Diffraction Patterns with arbitr
PaddleRobotics is an open-source algorithm library for robots based on Paddle, including open-source parts such as human-robot interaction, complex motion control, environment perception, SLAM positioning, and navigation.
简体中文 | English PaddleRobotics paddleRobotics是基于paddle的机器人开源算法库集,包括人机交互、复杂运动控制、环境感知、slam定位导航等开源算法部分。 人机交互 主动多模交互技术TFVT-HRI 主动多模交互技术是通过视觉、语音、触摸传感器等输入机器人
Implementation of Supervised Contrastive Learning with AMP, EMA, SWA, and many other tricks
SupCon-Framework The repo is an implementation of Supervised Contrastive Learning. It's based on another implementation, but with several differencies
Sample code from the Neural Networks from Scratch book.
Neural Networks from Scratch (NNFS) book code Code from the NNFS book (https://nnfs.io) separated by chapter.
Code for "Layered Neural Rendering for Retiming People in Video."
Layered Neural Rendering in PyTorch This repository contains training code for the examples in the SIGGRAPH Asia 2020 paper "Layered Neural Rendering
Build Text Rerankers with Deep Language Models
Reranker is a lightweight, effective and efficient package for training and deploying deep languge model reranker in information retrieval (IR), question answering (QA) and many other natural language processing (NLP) pipelines. The training procedure follows our ECIR paper Rethink Training of BERT Rerankers in Multi-Stage Retrieval Pipeline using a localized constrastive esimation (LCE) loss.
Age and Gender prediction using Keras
cnn_age_gender Age and Gender prediction using Keras Dataset example : Description : UTKFace dataset is a large-scale face dataset with long age span
CCKS-Title-based-large-scale-commodity-entity-retrieval-top1
- 基于标题的大规模商品实体检索top1 一、任务介绍 CCKS 2020:基于标题的大规模商品实体检索,任务为对于给定的一个商品标题,参赛系统需要匹配到该标题在给定商品库中的对应商品实体。 输入:输入文件包括若干行商品标题。 输出:输出文本每一行包括此标题对应的商品实体,即给定知识库中商品 ID,
Neural Magic Eye: Learning to See and Understand the Scene Behind an Autostereogram, arXiv:2012.15692.
Neural Magic Eye Preprint | Project Page | Colab Runtime Official PyTorch implementation of the preprint paper "NeuralMagicEye: Learning to See and Un
When doing audio and video sentiment recognition, I found that a lot of code is duplicated, often a function in different time debugging for a long time, based on this problem, I want to manage all the previous work, organized into an open source library can be iterative. For their own use and others.
FastAudioVisual Our project is developed here. The goal finish time is March 01, 2021 What is FastAudioVisual? FastAudioVisual is a tool that allows u
Client library to download and publish models and other files on the huggingface.co hub
huggingface_hub Client library to download and publish models and other files on the huggingface.co hub Do you have an open source ML library? We're l
An interactive GUI for WhiteboxTools in a Jupyter-based environment
whiteboxgui An interactive GUI for WhiteboxTools in a Jupyter-based environment GitHub repo: https://github.com/giswqs/whiteboxgui Documentation: http
Python based scripts for obtaining system information from Linux.
sysinfo Python based scripts for obtaining system information from Linux. Python2 and Python3 compatible Output in JSON format Simple scripts and exte
Summarization module based on KoBART
KoBART-summarization Install KoBART pip install git+https://github.com/SKT-AI/KoBART#egg=kobart Requirements pytorch==1.7.0 transformers==4.0.0 pytor
[AAAI 21] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning
◥ Curriculum Labeling ◣ Revisiting Pseudo-Labeling for Semi-Supervised Learning Paola Cascante-Bonilla, Fuwen Tan, Yanjun Qi, Vicente Ordonez. In the
GTK3-based panel for sway window manager
nwg-panel I have been using sway since 2019 and find it the most comfortable working environment, but... Have you ever missed all the graphical bells
This repository contains code examples and documentation for learning how applications can be developed with Kubernetes
BigBitBus KAT Components Click on the diagram to enlarge, or follow this link for detailed documentation Introduction Welcome to the BigBitBus Kuberne
A PyTorch re-implementation of the paper 'Exploring Simple Siamese Representation Learning'. Reproduced the 67.8% Top1 Acc on ImageNet.
Exploring simple siamese representation learning This is a PyTorch re-implementation of the SimSiam paper on ImageNet dataset. The results match that
FLEX (Federated Learning EXchange,FLEX) protocol is a set of standardized federal learning agreements designed by Tongdun AI Research Group。
Click to view Chinese version FLEX (Federated Learning Exchange) protocol is a set of standardized federal learning agreements designed by Tongdun AI
Transformers are Graph Neural Networks!
🚀 Gated Graph Transformers Gated Graph Transformers for graph-level property prediction, i.e. graph classification and regression. Associated article
The fastest way to visualize GradCAM with your Keras models.
VizGradCAM VizGradCam is the fastest way to visualize GradCAM in Keras models. GradCAM helps with providing visual explainability of trained models an
:hot_pepper: R²SQL: "Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing." (AAAI 2021)
R²SQL The PyTorch implementation of paper Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing. (AAAI 2021) Requirement
Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks
CyGNet This repository reproduces the AAAI'21 paper “Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Network
FedJAX is a library for developing custom Federated Learning (FL) algorithms in JAX.
FedJAX: Federated learning with JAX What is FedJAX? FedJAX is a library for developing custom Federated Learning (FL) algorithms in JAX. FedJAX priori
Code for "Contextual Non-Local Alignment over Full-Scale Representation for Text-Based Person Search"
Contextual Non-Local Alignment over Full-Scale Representation for Text-Based Person Search This is an implementation for our paper Contextual Non-Loca
An end-to-end machine learning web app to predict rugby scores (Pandas, SQLite, Keras, Flask, Docker)
Rugby score prediction An end-to-end machine learning web app to predict rugby scores Overview An demo project to provide a high-level overview of the
Spectrum is an AI that uses machine learning to generate Rap song lyrics
Spectrum Spectrum is an AI that uses deep learning to generate rap song lyrics. View Demo Report Bug Request Feature Open In Colab About The Project S
Graph neural network message passing reframed as a Transformer with local attention
Adjacent Attention Network An implementation of a simple transformer that is equivalent to graph neural network where the message passing is done with
Official PyTorch implementation for paper Context Matters: Graph-based Self-supervised Representation Learning for Medical Images
Context Matters: Graph-based Self-supervised Representation Learning for Medical Images Official PyTorch implementation for paper Context Matters: Gra
Official implementation of AAAI-21 paper "Label Confusion Learning to Enhance Text Classification Models"
Description: This is the official implementation of our AAAI-21 accepted paper Label Confusion Learning to Enhance Text Classification Models. The str
Implementation of Geometric Vector Perceptron, a simple circuit for 3d rotation equivariance for learning over large biomolecules, in Pytorch. Idea proposed and accepted at ICLR 2021
Geometric Vector Perceptron Implementation of Geometric Vector Perceptron, a simple circuit with 3d rotation equivariance for learning over large biom
A html canvas based screencasting server with occasional ground-truth updates via screenshots and very fast input drawing
rm2canvas A html canvas based screencasting server for the reMarkable 1/2 digital paper systems. It draws live on the canvas from the remarkables touc
Code for our method RePRI for Few-Shot Segmentation. Paper at http://arxiv.org/abs/2012.06166
Region Proportion Regularized Inference (RePRI) for Few-Shot Segmentation In this repo, we provide the code for our paper : "Few-Shot Segmentation Wit
An open source robotics benchmark for meta- and multi-task reinforcement learning
Meta-World Meta-World is an open-source simulated benchmark for meta-reinforcement learning and multi-task learning consisting of 50 distinct robotic
A toolkit for reproducible reinforcement learning research.
garage garage is a toolkit for developing and evaluating reinforcement learning algorithms, and an accompanying library of state-of-the-art implementa
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
Coach Coach is a python reinforcement learning framework containing implementation of many state-of-the-art algorithms. It exposes a set of easy-to-us
Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
SLM Lab Modular Deep Reinforcement Learning framework in PyTorch. Documentation: https://slm-lab.gitbook.io/slm-lab/ BeamRider Breakout KungFuMaster M
Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information. :godmode:
ViZDoom ViZDoom allows developing AI bots that play Doom using only the visual information (the screen buffer). It is primarily intended for research
Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!
Serpent.AI - Game Agent Framework (Python) Update: Revival (May 2020) Development work has resumed on the framework with the aim of bringing it into 2