binnhe Goto Github PK

abu

阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

alphanetv3

Recurrent Neural Network for predicting Stock Returns

berkeley-stat-157

Homepage for STAT 157 at UC Berkeley

binn

cvxpylayers

Differentiable convex optimization layers

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

deep-reinforcement-learning-for-automated-stock-trading-ensemble-strategy-icaif-2020

Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020. Please star.

dlaicourse

Notebooks for learning deep learning

draw

drl

Deep Reinforcement Learning

easy-rl

强化学习中文教程（蘑菇书），在线阅读地址：https://datawhalechina.github.io/easy-rl/

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

fantastic-matplotlib

Matplotlib中文教程，在线阅读地址：敬请期待全新网站

fattails

Code and Notes for fat-tailed statistics.

finrl

A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance. NeurIPS 2020. 🔥

gm

GM javascript

gold

auto trade

hands-on-data-analysis

hands-on-machine-learning-with-scikit-learn-keras-and-tensorflow

Part I: Notebooks & Code "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

ibapi_trading_modules

This module is a simple trading system. I will compelete it gradually

introneuralnetworks

Introducing neural networks to predict stock prices

ipyparallel

Interactive Parallel Computing in Python

joyful-pandas

pandas中文教程

jupyter

Jupyter metapackage for installation, docs and chat

machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

minisom

:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps

ml

ML Study