Python 排行榜

🚀 2026 最系统的 AI Agent 速成指南｜智能体实战教程 · 完整学习路径 + 实战项目 + 面试题库 · 对标大模型应用开发工程师岗位 · 覆盖LangChain / LangGraph / Coze / Dify / MCP / skills / LLM / RAG / 提示词 · 企业级部署与微调 · 从0到企业级落地 + 从学习到上线项目 + 面试准备一体化

Interactive Image Generation via Generative Adversarial Networks

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

Differentiable architecture search for convolutional and recurrent networks

Vector (and Scalar) Quantization, in Pytorch

A system for agentic LLM-powered data processing and ETL

Cascading runtime for AI agents. Optimize cost, latency, quality, and policy decisions inside the agent loop.

A simple, easy-to-hack GraphRAG implementation

Snips Python library to extract meaning from text

Versioned Codex instruction deployment with preview, ownership manifests, hook isolation, scenario evaluation, and recovery.

Like Manus, Computer Use Agent(CUA) and Omniparser, we are computer-using agents.AI-driven local automation assistant that uses natural language to make computers work by themselves

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

Context management for Claude Code. Hooks maintain state via ledgers and handoffs. MCP execution without context pollution. Agent orchestration with isolated context windows.

A minimal Python framework for building custom AI inference servers with full control over logic, batching, and scaling.

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

Stable diffusion for real-time music generation

Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP/A2A Support

Outpainting with Stable Diffusion on an infinite canvas

My Python scripts to make high-quality figures for publications in top AI conferences and journals.

Easiest and laziest way for building multi-agent LLMs applications.