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The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
Sorting Google Scholar search results based on the number of citations
A simple, easy, customizable Gymnasium environment for trading.
The official Python library for the OpenAI API
This project implements the two deep reinforcement learning algorithms on portfolio management
GraphXAI: Resource to support the development and evaluation of GNN explainers
Author's PyTorch implementation of BCQ for continuous and discrete actions
Efficient Secure Aggregation for Privacy-Preserving Federated Machine Learning
Privacy-Preserving Verifiable Neural Network Inference Service
CSCI 599 deep learning and its applications final project
Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization
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).
Attempting to replicate "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem" https://arxiv.org/abs/1706.10059 (and an openai gym environment)
Build DDPG models and test on stock market
The first open Federated Learning framework implemented in C++ and Python.
ABIDES: Agent-Based Interactive Discrete Event Simulation
PacktPublishing / Machine-Learning-for-Algorithmic-Trading-Second-Edition
Forked from stefan-jansen/machine-learning-for-tradingCode and resources for Machine Learning for Algorithmic Trading, 2nd edition.
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Using tabular and deep reinforcement learning methods to infer optimal market making strategies