chrisd12's Stars
ShangtongZhang/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
borisbanushev/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
PacktPublishing/Deep-Reinforcement-Learning-Hands-On
Hands-on Deep Reinforcement Learning, published by Packt
ZhengyaoJiang/PGPortfolio
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
notadamking/RLTrader
A cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym
LastAncientOne/Stock_Analysis_For_Quant
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
sadighian/crypto-rl
Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent
Albert-Z-Guo/Deep-Reinforcement-Stock-Trading
A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.
PacktPublishing/Tensorflow-2-Reinforcement-Learning-Cookbook
Tensorflow 2 Reinforcement Learning Cookbook, published by Packt
jcgloria/quickEC2
A simple app to deploy and connect to AWS EC2 instances