Python 排行榜

ContextQA - The open-source tool for data-driven conversations

Fine-tune the newly released Llama-3.2 lightweight models.

AI orbit monitor — papers, models, benchmarks, company news in one dashboard. 40+ sources, LMArena leaderboard, local LLM summary.

Access different AI models in a one place

A modular framework for building and deploying Retrieval-Augmented Generation (RAG) systems with built-in evaluation and monitoring.

Production-grade framework for building multi-agent AI systems. Graph-based orchestration, LLM-agnostic (OpenAI, Google GenAI, Anthropic), 3-layer memory (Redis cache + Postgres + vector store), live agents, parallel tool execution, and native MCP. Ships a full ecosystem: backend, REST API + CLI, TypeScript SDK, and React playground

Minimal, async-first Python framework for production LLM apps- 2 hard deps, no magic, no SaaS.

This repository provides core code for managing large volumes of video footage, enabling content understanding, automatic tagging, and vector database storage. It integrates multimodal models and LLMs for accurate descriptions and semantic search. A web interface allows visualization.

Ensemble Integration: a customizable pipeline for generating multi-modal, heterogeneous ensembles

✨ Official code for our paper: "Uncertainty-o: One Model-agnostic Framework for Unveiling Epistemic Uncertainty in Large Multimodal Models".

FinRAGBench-V: A Benchmark for Multimodal RAG with Visual Citation in the Financial Domain (EMNLP 2025)

🦉 Generate quizzes from video application

Neural Lexicon Reader: Reduce Pronunciation Errors in End-to-end TTS by Leveraging External Textual Knowledge

Portable offline AI audio studio with web UI & local API – XTTS, Fish Speech, Kokoro, Stable Audio, ACE-Step, voice cloning, music gen (no install)

A python toolbox for analyzing and plotting free recall data

Python project for Speech-to-Text and Sentiment Analysis. Supports English and German language!

API playground for Deepgram built with Streamlit

SDKs and docs for Skit's speech to text service

This voice assistant is buit in VS Code. It has an ability to understand human speech, process it and provide relevant, requested output to the user. When the user speaks out any appropriate trigger words, the virtual assistant gets activated to serve the user's command.

Local-first, capability-aware, traceable audio and video transcription Skill for Codex