liping-li's starred repositories
best-of-ps
🏆 A weekly updated ranked list of popular open-source libraries and tools for Power System Analysis.
Hands-on-RL
https://hrl.boyuai.com/
Learn-AI-Assisted-Python-Programming
📖 《AI 辅助编程》这本书的大本营。
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
Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
DeepLearning
Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
Deep-Learning-A-Visual-Approach
All of the figures and notebooks for my deep learning book, for free!
120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
leetcode-master
《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
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
Hands-On-Data-Structures-and-Algorithms-with-Python-Second-Edition
Hands-On Data Structures and Algorithms with Python Second Edition, published by Packt
TeachYourselfCS-CN
TeachYourselfCS 的中文翻译 | A Chinese translation of TeachYourselfCS
openmlsys-zh
《Machine Learning Systems: Design and Implementation》- Chinese Version
benchmarks
Competition Benchmarks
Data-Science-Interview-Resources
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
CyC2018.github.io
:blush: 个人主页
demand-forecasting-india
Bottom-up energy demand forecasting for India in 2050
pandapower
Convenient Power System Modelling and Analysis based on PYPOWER and pandas
PowerSimulations.jl
Julia for optimization simulation and modeling of PowerSystems. Part of the Scalable Integrated Infrastructure Planning Initiative at the National Renewable Energy Lab.
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
bayesian-stats-modelling-tutorial
How to do Bayesian statistical modelling using numpy and PyMC3
short-term-energy-demand-forecasting
Forecasts next 24 hours of hourly energy demand with Keras, Prophet, and SARIMA (statsmodels)