技能目录

为 AI Agent 发现可复用技能。

按任务搜索真实的 GitHub 技能,并在使用前查看 Stars、信任、审计、分类和安装路径。

每个推荐都保留与其仓库、审计和安装路径的明确关联。

搜索结果: deep-rl

英文目录

Deep Learning for humans

64K
Stars
82/100
信任
分类: ml-automation审计

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

43K
Stars
87/100
信任
分类: ml-automation审计

Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI (gpt, claude, gemini, llama, qwen, mistral). Get started - free.

35K
Stars
87/100
信任
分类: data审计

Visualizer for neural network, deep learning and machine learning models

33K
Stars
81/100
信任
分类: ml-automation审计

Run autonomous deep research over web and local sources

28K
Stars
77/100
信任
分类: research审计

The fastai deep learning library

28K
Stars
81/100
信任
分类: ml-automation审计

Tongyi Deep Research, the Leading Open-source Deep Research Agent

20K
Stars
81/100
信任
分类: research审计

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)

24K
Stars
86/100
信任
分类: ml-automation审计

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

19K
Stars
79/100
信任
分类: ml-automation审计

Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.

18K
Stars
85/100
信任
分类: rag-knowledge审计

Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.

15K
Stars
87/100
信任
分类: ml-automation审计

Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.

44K
Stars
84/100
信任
分类: finance审计