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All Algorithms implemented in Python
A feature-rich command-line audio/video downloader
Robust Speech Recognition via Large-Scale Weak Supervision
Python tool for converting files and office documents to Markdown.
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
A high-throughput and memory-efficient inference and serving engine for LLMs
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Scrapy, a fast high-level web crawling & scraping framework for Python.
🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here: https://discord.gg/jP8KfhDhyN
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
💫 Toolkit to help you get started with Spec-Driven Development
Transforms complex documents like PDFs into LLM-ready markdown/JSON for your Agentic workflows.
小红书笔记 | 评论爬虫、抖音视频 | 评论爬虫、快手视频 | 评论爬虫、B 站视频 ｜ 评论爬虫、微博帖子 ｜ 评论爬虫、百度贴吧帖子 ｜ 百度贴吧评论回复爬虫 | 知乎问答文章｜评论爬虫
A community-supported supercharged document management system: scan, index and archive all your documents
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
PyTorch Tutorial for Deep Learning Researchers
微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。
A modular graph-based Retrieval-Augmented Generation (RAG) system
🎯 告别信息过载，AI 助你看懂新闻资讯热点，简单的舆情监控分析 - 多平台热点聚合+基于 MCP 的AI分析工具。监控35个平台（抖音、知乎、B站、华尔街见闻、财联社等），智能筛选+自动推送+AI对话分析（用自然语言深度挖掘新闻：趋势追踪、情感分析、相似检索等13种工具）。支持企业微信/个人微信/飞书/钉钉/Telegram/邮件/ntfy/bark/slack 推送，30秒网页部署，1分…
Qwen3 is the large language model series developed by Qwen team, Alibaba Cloud.
[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"
An LLM agent that conducts deep research (local and web) on any given topic and generates a long report with citations.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Build resilient language agents as graphs.