stanlisu

keras

Deep Learning for humans

CppCoreGuidelines

The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

machine-learning-for-trading

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

eattheblocks

Source code for Eat The Blocks, a screencast for Ethereum Dapp Developers

binance-trader

💰 Cryptocurrency Trading Bot for Binance (Experimental)

deep-q-learning

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

QuantitativePrimer

An Interview Primer for Quantitative Finance

Hands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

simfin

Simple financial data for Python

awesome-chainer

pinance

Python module(s) to get stock data, options data and news.

api-sample

BTSE API Sample

vnpy

基于Python的开源量化交易平台开发框架

starquant

a light-weighted, integrated trading system