ahaidichen Goto Github PK

an-application-of-deep-reinforcement-learning-to-algorithmic-trading

Experimental code supporting the results presented in the scientific research paper entitled "An Application of Deep Reinforcement Learning to Algorithmic Trading"

apprenticeship-learning

UMich, EECS545 Final Project

appropo

Reinforcement Learning with Convex Constraints

backtesting.py

:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

bcg-gamma

Forecasting traffic using random forest - BCG Gamma Competition

biofloat

Software for working with oceanographic data from Bio-Argo drifting profiling floats.

blog

Source code for my personal blog

c51dqn

A TensorFlow implementation of DeepMind's A Distributional Perspective on Reinforcement Learning.(C51-DQN)

capmarket

cnn-lstm_limit_order_book

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).

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

cookbook-2nd-code

Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

crypto-rl

Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent

cs230_project

cs231n-project

kevin and cedrick's project for cs231n

ctc-executioner

Master Thesis: Limit order placement with Reinforcement Learning

dain

Deep Adaptive Input Normalization for Time Series Forecasting

deep-learning-for-order-book-price-and-movement-predictions

Limit Order Book data analysis and modeling using LSTM network

deep-portfolio-management-reinforcement-learning

This repository presents our work during a project realized in the context of the IEOR 8100 RL Class at Columbia University.

deep-q-learning

Tensorflow implementation of Deepminds dqn with double dueling networks

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

deep-reinforcement-learning-in-stock-trading

Using deep actor-critic model to learn best strategies in pair trading

deep_reinforcement_learning_course

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

deeprl-agents

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

deeprl-tensorflow2

🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

distributed_reinforcement_learning

implementation of distributed reinforcement learning with distributed tensorflow

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.