microsoft/markitdown
Python tool for converting files and office documents to Markdown
ToolAI · Chaîne GitHub
Explorez les projets LLM, agent, MCP, RAG, code et inférence à partir des données publiques des dépôts.
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Python tool for converting files and office documents to Markdown
Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows - all through natural language commands
An open-source project focused on large language model research and inference.
An open-source project focused on reasoning model research and evaluation.
Données publiques des dépôts
Python tool for converting files and office documents to Markdown
Robust Speech Recognition via Large-Scale Weak Supervision
An open-source project focused on large language model research and inference.
An open-source project focused on reasoning model research and evaluation.
Public repository for Agent Skills
Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows - all through natural language commands
RAGFlow is an open-source Retrieval-Augmented Generation engine that combines document ingestion, retrieval, grounded citations, configurable language and embedding models, and agent capabilities to provide context for LLM applications.
Unsloth is a Python-based, self-hosted toolkit with a beta web UI and code-based core for running, fine-tuning, exporting, and serving language, vision, audio, and embedding models locally.
PageIndex is a Python project for creating hierarchical document indexes and performing reasoning-based retrieval without a vector database or artificial chunking. It supports self-hosted processing of PDF and Markdown documents, with optional agentic RAG examples and hosted MCP/API services.
An open-source LLM engineering platform for tracing, evaluating, debugging, and improving AI applications, with prompt management, datasets, metrics, a playground, APIs, and managed or self-hosted deployment options.