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aas

Code to accompany Advanced Analytics with Spark from O'Reilly Media

alphanet-v1-sheri01

alphanet01

Stock factor mining with CNN and GRU.

alphanetv3

Recurrent Neural Network for predicting Stock Returns

avellaneda-stoikov

Avellaneda-Stoikov HFT market making algorithm implementation

awesome-learning

实践源码库：https://github.com/jast90/bigdata

awesome-systematic-trading

A curated list of insanely awesome libraries, packages and resources for systematic trading. Crypto, Stock, Futures, Options, CFDs, FX, and more | 量化交易 | 量化投资

axios

Promise based HTTP client for the browser and node.js

backtrader

Python Backtesting library for trading strategies

cici

一个可爱的演示项目

coding-interview-university

A complete computer science study plan to become a software engineer.

cplusplusthings

C++那些事

cpp-concurrency-in-action-2ed-2019

:book: 作为对《C++ Concurrency in Action - SECOND EDITION》的中文翻译。

cpp_redis

C++11 Lightweight Redis client: async, thread-safe, no dependency, pipelining, multi-platform

crosssection

Code to accompany our paper Chen and Zimmermann (2020), "Open source cross-sectional asset pricing"

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

cs224n-2019

My completed implementation solutions for CS224N 2021 & 2019

d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

deeplearning.ai-andrewng

deeplearning.ai , By Andrew Ng, All slide and notebook + data + solutions and video link

deeplearning.ai-pytorch

PyTorch Implementations of Coursera's Deep Learning(deeplearning.ai) Specialization

deeplob-deep-convolutional-neural-networks-for-limit-order-books

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.

dl_lob_trading_and_midpirce_movement

Deep learning for limit order book trading and mid-price movement

dq-mm

Deep Q-Learning for Market Making

element_ui_lib

Element release lib

fast-cpp-csv-parser

fast-cpp-csv-parser

gymmanagementsystem

python-flask based web-application which uses a MySQL database

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hft

High Frequency Trading Strategies

learn_backtrader

BackTrader中文教程笔记（by：量化投资与机器学习），系统性介绍Bactrader的特性、策略构建、数据结构、回测交易等，彻底掌握量化神器的使用方法。章节：介绍篇、数据篇、指标篇、交易篇、策略篇、可视化篇……（持续更新中）

learningpyspark

Code base for the Learning PySpark book (in preparation)