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Experimental code supporting the results presented in the scientific research paper entitled "An Application of Deep Reinforcement Learning to Algorithmic Trading"
UMich, EECS545 Final Project
Reinforcement Learning with Convex Constraints
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
A Python implementation of global optimization with gaussian processes.
Forecasting traffic using random forest - BCG Gamma Competition
Software for working with oceanographic data from Bio-Argo drifting profiling floats.
Source code for my personal blog
A TensorFlow implementation of DeepMind's A Distributional Perspective on Reinforcement Learning.(C51-DQN)
This notebook contains an independently developed Keras/Tensorflow implementation of the CNN-LSTM model for Limit Order Book forecasting originally proposed by Zhang et al. (https://arxiv.org/pdf/1808.03668.pdf). The current implementation was adopted in the paper written by Briola et al. (https://arxiv.org/pdf/2007.07319.pdf).
Course Files for Complete Python 3 Bootcamp Course on Udemy
Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]
Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent
kevin and cedrick's project for cs231n
Master Thesis: Limit order placement with Reinforcement Learning
Deep Adaptive Input Normalization for Time Series Forecasting
Limit Order Book data analysis and modeling using LSTM network
This repository presents our work during a project realized in the context of the IEOR 8100 RL Class at Columbia University.
Tensorflow implementation of Deepminds dqn with double dueling networks
Repo for the Deep Reinforcement Learning Nanodegree program
Hands-on Deep Reinforcement Learning, published by Packt
Using deep actor-critic model to learn best strategies in pair trading
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
implementation of distributed reinforcement learning with distributed tensorflow
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.