Popular GitHub Repositories for Hybrid Rl

A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.

Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database?.

强化学习中文教程（蘑菇书?），在线阅读地址：https://datawhalechina.github.io/easy-rl/

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

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

An elegant PyTorch deep reinforcement learning library.

A Python implementation of LightFM, a hybrid recommendation algorithm.

The Cloud-Native API Gateway and AI Gateway

Massively Parallel Deep Reinforcement Learning. ?

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

Modularized Implementation of Deep RL Algorithms in PyTorch

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

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

This repository contains Deep Learning based articles , paper and repositories for Recommender Systems

A PyTorch Library for Meta-learning Research

MiniMax-M1, the world's first open-weight, large-scale hybrid-attention reasoning model.

MuZero

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.