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The official repo of Qwen2-Audio chat & pretrained large audio language model proposed by Alibaba Cloud.
GraphRAG using Ollama with Gradio UI and Extra Features
A Comprehensive Toolkit for High-Quality PDF Content Extraction
基于PaddleOCR重构,并且脱离PaddlePaddle深度学习训练框架的轻量级OCR,推理速度超快
Low-code development tool based on PaddlePaddle(飞桨低代码开发工具)
Neo4j graph construction from unstructured data using LLMs
Virtual network sound card for Microsoft Windows
SEED-Story: Multimodal Long Story Generation with Large Language Model
Supabase for RAG - Build and scale production-ready user facing AI apps
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
Python package for graph statistics
One-click deploy of a Knowledge Graph powered RAG (GraphRAG) in Azure
Build real-time multimodal AI applications 🤖🎙️📹
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and…
End-to-end stack for WebRTC. SFU media server and SDKs.
Open Source framework for voice and multimodal conversational AI
由搜狗细胞词库生成的谷歌拼音输入法词典 A dict for Google Pinyin Input, exported from Sougou Pinyin Input.
Ingest, parse, and optimize any data format ➡️ from documents to multimedia ➡️ for enhanced compatibility with GenAI frameworks
Understand Human Behavior to Align True Needs
SpeechIO Leaderboard: a large, robust, comprehensive, benchmarking platform for Automatic Speech Recognition.
Free on-device web app for audio transcribing and rendering subtitles
Official release of InternLM2.5 7B base and chat models. 1M context support
Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.
Multilingual Voice Understanding Model
A modular graph-based Retrieval-Augmented Generation (RAG) system
The official repository of the paper "(Perhaps) Beyond Human Translation: Harnessing Multi-Agent Collaboration for Translating Ultra-Long Literary Texts"