Wenjun-Ye's Stars
UZ-SLAMLab/ORB_SLAM3
ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
scikit-learn/scikit-learn
scikit-learn: machine learning in Python
geekcomputers/Python
My Python Examples
electronicarts/CnC_Remastered_Collection
uku/Unblock-Youku
A Chrome extension helping users access their web services while traveling outside mainland China
microsoft/ai-edu
AI education materials for Chinese students, teachers and IT professionals.
cyberbotics/webots
Webots Robot Simulator
openai/mujoco-py
MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.
google-deepmind/dm_control
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
openai/gym
A toolkit for developing and comparing reinforcement learning algorithms.
google-research/google-research
Google Research
phillipi/pix2pix
Image-to-image translation with conditional adversarial nets
datawhalechina/leedl-tutorial
《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
arpitjindal97/technology_books
Premium eBook free for Geeks
jackfrued/Python-100-Days
Python - 100天从新手到大师
microsoft/terminal
The new Windows Terminal and the original Windows console host, all in the same place!
TheAlgorithms/Python
All Algorithms implemented in Python
kxxwz/SJTU-Courses
上海交通大学课程资料分享
goabstract/Awesome-Design-Tools
The best design tools and plugins for everything 👉
nndl/nndl.github.io
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
datawhalechina/pumpkin-book
《机器学习》(西瓜书)公式详解
The-Art-of-Hacking/h4cker
This repository is primarily maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), artificial intelligence security, vulnerability research, exploit development, reverse engineering, and more.
MorvanZhou/tutorials
机器学习相关教程
HearthSim/Hearthstone-Deck-Tracker
A deck tracker and deck manager for Hearthstone on Windows
scutan90/DeepLearning-500-questions
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scutjy2015@163.com 版权所有,违权必究 Tan 2018.06