A Keras implementation of YOLOv3 (Tensorflow backend)

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

Clone a voice in 5 seconds to generate arbitrary speech in real-time

开源即时通讯(野火IM)系统Android端 高仿微信

Python - 100天从新手到大师

🌈谷粒-Chrome插件英雄榜, 为优秀的Chrome插件写一本中文说明书, 让Chrome插件英雄们造福人类~ ChromePluginHeroes, Write a Chinese manual for the excellent Chrome plugin, let the Chrome plugin heroes benefit the human~

A collection of various deep learning architectures, models, and tips

Minimal PyTorch implementation of YOLOv3

📚 A practical approach to machine learning to enable everyone to learn, explore and build.

Minimal and clean examples of machine learning algorithms implementations

A complete daily plan for studying to become a machine learning engineer.

Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

PyTorch Tutorial for Deep Learning Researchers

100 Days of ML Coding

🇨🇳 GitHub中文排行榜，帮助你发现高分优秀中文项目、更高效地吸收国人的优秀经验成果；榜单每周更新一次，敬请关注！

tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials

越来越多的网站具有反爬虫特性，有的用图片隐藏关键数据，有的使用反人类的验证码，建立反反爬虫的代码仓库，通过与不同特性的网站做斗争（无恶意）提高技术。（欢迎提交难以采集的网站）（因工作原因，项目暂停）

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation

👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)

A collection of machine learning examples and tutorials.

翻墙-科学上网

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

🌎 Simple and ready-to-use tutorials for TensorFlow

TensorFlow 1.x and 2.x tutorials and best practices.

Use Jupyter Notebooks to demonstrate how to build a Recommender with Apache Spark & Elasticsearch