Huang Chao's repositories
Generative_Deep_Learning_2nd_Edition
The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.
statistic
collecting books, papers and docs.
py12306
🚂 12306 购票助手，支持集群，多账号，多任务购票以及 Web 页面管理
huangchaosp.github.io
My Blog
imgfile
imgfile
Interview
Interview = 简历指南 + LeetCode + Kaggle
prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
UGATIT
Official Tensorflow implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation
style2paints
sketch + style = paints :art:
Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
youtube-dl
Command-line program to download videos from YouTube.com and other video sites
CS-Notes-PDF
https://github.com/CyC2018/CS-Notes PDF版本离线阅读
tensorflow
An Open Source Machine Learning Framework for Everyone
nlp-beginner
NLP上手教程
DrivingSchool
DrivingSchool is a lightweight web-based 3D simulator. It is aimed at providing a simple and easy-to-use simulation environment for reinforcement learning algorithms implemented in Python for autonomous vehicles.
hc-blog-attachment
huangchao's blog attachment
spark-sklearn
Scikit-learn integration package for Apache Spark
Shadowsocks-Tutorial
🐱给小白的Shadowsocks翻墙教程
Web-learning-of-Mia
Learning notes and codes of web
Hands-on-Machine-Learning
A series of Jupyter notebooks with Chinese comment that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
MTNet
Tensorflow implementation of paper http://arxiv.org/abs/1809.02105
kaggle-web-traffic
1st place solution
Roadmap-of-DL-and-ML
Roadmap of DL and ML, some courses, study notes and paper summary
machinelearning
My blogs and code for machine learning. http://cnblogs.com/pinard
proxyee-down
http下载工具，基于http代理，支持多连接分块下载
PowerBI-visuals
Documentation for creating visuals for Power BI
LightGBM
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.