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List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.
PyTorch implementations of deep reinforcement learning algorithms and environments
Awesome Incremental Learning
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
This repository contains code that implement common machine learning algorithms for remaining useful life (RUL) prediction.
The 2nd version of Solar Tracker Project
TFT for UVI forecast with interpretable
Use ChatGPT On Wechat via wechaty
微信公众号推送-给女朋友的浪漫
All about explainable AI, algorithmic fairness and more
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.