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activityrecognition

Resources about activity recognition-行为识别资料

adv_fin_ml_exercises

Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

advanced-deep-trading

Mostly experiments based on "Advances in financial machine learning" book

aialpha

Use unsupervised and supervised learning to predict stocks

alpaca_tech_screener

backtrader

Python Backtesting library for trading strategies

bristolstockexchange

BSE is a simple minimal simulation of a limit order book financial exchange

byteps

A high performance and generic framework for distributed DNN training

catch22

catch-22: CAnonical Time-series CHaracteristics

cesium

Machine Learning Time-Series Platform

code-with-paper

cointossx

A low latency high throughput matching engine based on the rules of the JSE

convnets-tensorflow2

⛵️ Implementation a variety of popular Image Classification Models using TensorFlow2. [ResNet, GoogLeNet, VGG, Inception-v3, Inception-v4, MobileNet, MobileNet-v2, ShuffleNet, ShuffleNet-v2, etc...]

ctp-tradeserver

多账户-多策略期货交易程序（ctp开发经验分享）

deep-orderbook

Deep learning modelling of orderbooks

deep-stock

Deep Learning for Stock Market

deep-time-series-prediction

Seq2Seq, Bert, Transformer, WaveNet for time series prediction.

deeplearningfortimeseriesforecasting

A tutorial demonstrating how to implement deep learning models for time series forecasting

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.

deepstock

Technical experimentations to beat the stock market using deep learning :chart_with_upwards_trend:

deit

Official DeiT repository

delight

DeLighT: Very Deep and Light-Weight Transformers

devilyuan

DevilYuan可视化股票量化系统，支持选股，历史数据自动下载，策略回测及参数优化，实盘交易和常用的统计功能

dpsr

Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)

easytrader

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

efficientdet

EfficientDet (Scalable and Efficient Object Detection) implementation in Keras and Tensorflow

elitequant

A list of online resources for quantitative modeling, trading, portfolio management

elitequant_python

Python quantitative trading and investment platform; Python3 based multi-threading, concurrent high-frequency trading platform that provides consistent backtest and live trading solutions. It follows modern design patterns such as event-driven, server/client architect, and loosely-coupled robust distributed system. It follows the same structure and performance metrix as other EliteQuant product line, which makes it easier to share with traders using other languages.

feature-engineering-book

Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018

featuretools

An open source python framework for automated feature engineering