personal blog https://HuangHenry.github.io

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

A curated list of awesome Machine Learning frameworks, libraries and software.

Zipline, a Pythonic Algorithmic Trading Library

前端入门和进阶学习笔记，超详细的Web前端学习图文教程。从零开始学前端，做一名精致的前端工程师。持续更新...

quantitative trading with Javascript OR Python 用Javascript OR Python进行量化交易

collecting books, papers and docs.

Python port of ShadowsocksR

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities

QuantStart.com - Advanced Trading Infrastructure

Python - 100天从新手到大师

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pyalgotrade tailored for Chinese stock market

1st Place Solution for O2O Coupon Usage Forecast

中文 Python 笔记

My Blog / Jekyll Themes / GitHub Pages 博客模板

Models built with TensorFlow

Machine Learning in Finance: From Theory to Practice Book

Basic Machine Learning and Deep Learning

Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.

A curated collection of free Machine Learning related eBooks

CS50 Library for C

Kunena Forum - Forum / Bulletin Board / Discussions component for Joomla - This is the 5.x main development branch. Please do not open issues regarding earlier versions of Kunena

http://www.ityouknow.com/

Notebooks and code for the book "Introduction to Machine Learning with Python"

关于Python的面试题

My Blog / Jekyll Themes / PWA

免费的计算机编程类中文书籍，欢迎投稿

FQuantToolBox

提供银河/国金/华泰客户端/同花顺客户端/雪球的基金、股票自动程序化交易以及自动打新，支持跟踪 joinquant /ricequant 模拟交易 和 实盘雪球组合, 量化交易组件

Early stopping for PyTorch

This jupyter notebook is used to demonstrate our recent work, "DeepLOB: Deep Convolutional Neural Networks for Limit Order Books", published in IEEE Transactions on Singal Processing. We use FI-2010 dataset and present how model architecture is constructed here. The FI-2010 is publicly avilable and interested readers can check out their paper.

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

Home of Cugtyt

Python Backtesting library for trading strategies

中国的Quant相关资源索引

😎 Awesome lists about all kinds of interesting topics