Popular GitHub Repositories for Drl Frameworks

Python package built to ease deep learning on graph, on top of existing DL frameworks.

FinRL: Financial Reinforcement Learning. ?

Pocket Flow Tutorial Project: Turns GitHub repo into Easy Tutorial with AI

An elegant PyTorch deep reinforcement learning library.

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including OpenAI Agents SDK, CrewAI, Langchain, Autogen, AG2, and CamelAI

? AgentVerse ? is designed to facilitate the deployment of multiple LLM-based agents in various applications, which primarily provides two frameworks: task-solving and simulation

Massively Parallel Deep Reinforcement Learning. ?

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

The convertor/conversion of deep learning models for different deep learning frameworks/softwares.

Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)

PPO x Family DRL Tutorial Course（决策智能入门级公开课：8节课帮你盘清算法理论，理顺代码逻辑，玩转决策AI应用实践 ）

? Everything you need to create an LLM Agent—tools, prompts, frameworks, and models—all in one place.

Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.

Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)

Open source platform for AI Engineering: OpenTelemetry-native LLM Observability, GPU Monitoring, Guardrails, Evaluations, Prompt Management, Vault, Playground. ?? Integrates with 50+ LLM Providers, VectorDBs, Agent Frameworks and GPUs.

A curated list of resources about AI agents for Computer Use, including research papers, projects, frameworks, and tools.

Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.

This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.