100个GitHub Star数上升最快的深度学习开源项目

截止7月18日，Star数上升最快（与6月10日相比）的100个GitHub Star数上升最快的深度学习开源项目，按Star数排序。

GitHub 链接：

https://github.com/mbadry1/Trending-Deep-Learning

篇幅受限仅列出前10个：

deep-reinforcement-learning Star 1035

GitHub地址：

https://github.com/udacity/deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program  

语言：Jupyter Notebook  

Grokking-Deep-Learning Star 333 

GitHub地址：

https://github.com/iamtrask/Grokking-Deep-Learning

Lthis repository accompanies my forthcoming book "Grokking Deep Learning"

语言：Jupyter Notebook  

TensorFlow-Examples Star 23566

GitHub地址：

https://github.com/aymericdamien/TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

语言：Jupyter Notebook  

keras Star 31625

GitHub地址：

https://github.com/keras-team/keras

Deep Learning for humans

语言：Python

pytorch Star 17136 

GitHub地址：

https://github.com/pytorch/pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

语言：C++

opencv Star 26183

GitHub地址：

https://github.com/opencv/opencv

Open Source Computer Vision Library

语言：C++

openpose Star 8093

GitHub地址：

https://github.com/CMU-Perceptual-Computing-Lab/openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, and hands estimation

语言：C++

Detectron Star 15212

GitHub地址：

https://github.com/facebookresearch/Detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

语言：Python

darknet Star 18729

GitHub地址：

https://github.com/pjreddie/darknet

Convolutional Neural Networks

语言：C

deeplearningbook-chinese Star 18729

GitHub地址：

https://github.com/exacity/deeplearningbook-chinese

Deep Learning Book Chinese Translation

语言：TeX

-END-

专 · 知

人工智能领域主题知识资料查看与加入专知人工智能服务群：

专知AI知识技术服务会员群加入与人工智能领域26个主题知识资料全集获取。欢迎微信扫一扫加入专知人工智能知识星球群，获取专业知识教程视频资料和与专家交流咨询！

请PC登录www.zhuanzhi.ai或者点击阅读原文，注册登录专知，获取更多AI知识资料！

请加专知小助手微信（扫一扫如下二维码添加），加入专知主题群（请备注主题类型：AI、NLP、CV、 KG等）交流~

 AI 项目技术 & 商务合作：bd@zhuanzhi.ai, 或扫描上面二维码联系！

请关注专知公众号，获取人工智能的专业知识！

点击“阅读原文”，使用专知