davidsmandrade Goto Github PK

alphatrader

An implementation of a stock market trading bot, which uses Deep Q Learning

correctaddress

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.

dl-algo-trader

Training an Agent to make automated trading decisions in a simulated stochastic market environment using Reinforcement Learning or Deep Q-Learning

docker-mautic

Docker Image for Mautic

environment-flask-app-k8-v2-production

environment-flask-app-k8-v2-staging

environment-flask-app-test-production

environment-flask-app-test-staging

environment-jenkins-x-kubernetes-production

environment-jenkins-x-kubernetes-staging

finrl

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

flask-app-k8-v2

git

project00

mdp-dp-rl

Markov Decision Processes, Dynamic Programming and Reinforcement Learning

microservice

movies_backend

project00

First project of Udacity Nanodegree

project00-

project00-nanodegree

projetc00

public_transportation

udacity data streaming nanodegree

python-test

qlib

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies.

reader

rss for udacity

rl-book

rl-deepqlearning-trading

An RL model that uses double deep Q learning to generate an optimal policy of stock market trades

sf_crime

udacity data streaming nanodegree

stackeddebert

Stacked Denoising BERT for Noisy Text Classification (Neural Networks 2020)

stock-rl

A simple stock trader program that is based on A2C Reinforcement Learning algorithm