Q's repositories
stock_market_reinforcement_learning
This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.
Risk.Pro-Shiny-App
A risk management web app based on Shiny.
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
DeepLearningNotes
机器学习和量化分析学习进行中
generic-twitter-sentiment-analysis-naive-bayes-shiny
Twitter sentiment analysis using naive bayes algorithm with shiny dashboard
Going-Deeper-with-Convolutional-Neural-Network-for-Stock-Market-Prediction
Repository for Going Deeper with Convolutional Neural Network for Stock Market Prediction
gym-trading
Environment for reinforcement-learning algorithmic trading models
Natural-Language-Processing
Codes and materials for Natural Language Processing
pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
QLearning_Trading
Learning to trade under the reinforcement learning framework
react-examples
Examples of using React
reinforcement-learning
Minimal and Clean Reinforcement Learning Examples
strategy
掘金策略集锦
tensorforce
TensorForce: A TensorFlow library for applied reinforcement learning
thinkful-mentor
code sample, refactoring - for thinkful students
Trading-Gym
Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.