Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

A one stop repository for generative AI research updates, interview resources, notebooks and much more!

Representation Learning for RL

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

This github repository of "Machine Learning and Data Science Blueprints for Finance". Please star.

Code for Machine Learning for Algorithmic Trading, 2nd edition.

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 …

PyTorch implementations of Generative Adversarial Networks.

Get up and running with Llama 3.2, Mistral, Gemma 2, and other large language models.

User-friendly WebUI for AI (Formerly Ollama WebUI)

Python & JAVA Solutions for Leetcode

All Algorithms implemented in Python

Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.

Webots scene gym environment for drone navigation tasks methods

Find best-response to a fixed policy in multi-agent RL

Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)

SMAC: The StarCraft Multi-Agent Challenge

StarCraft II Client - protocol definitions used to communicate with StarCraft II.

This is a new repo used for training UAV navigation (local path planning) policy using DRL methods.

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)

Official Repository for "Agent Modelling under Partial Observability for Deep Reinforcement Learning"

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

[已结束]羊了个羊 通关程序，支持自动通关

Python Multi-Agent Reinforcement Learning framework

PyTorch Implementation of MADDPG (Lowe et. al. 2017)