Popular GitHub Repositories for Commenting Engines

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the simplest implementation of a deep research agent - e.g. an agent that can refine its research direction overtime and deep dive into a topic.

Speech recognition module for Python, supporting several engines and APIs, online and offline.

Highly Customizable AI Research Agent just like NotebookLM or Perplexity, connected to external sources such as search engines (Tavily), Slack, Notion, and more.

自动构建Docker镜像并上传至阿里云

The best apps in the AI era aren’t solo experiences—they’re collaborative. Liveblocks provides customizable pre?built features to make your product multiplayer, engaging, and AI?ready. All without derailing your roadmap.

A procedural Blender pipeline for photorealistic training image generation

(Supports DeepSeek R1) An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models.

Best inference performance optimization framework for HuggingFace Diffusers on NVIDIA GPUs.

免费使用的语音合成软件

[ICASSP 2024] ? Matcha-TTS: A fast TTS architecture with conditional flow matching

NucliaDB, The AI Search database for RAG

Discover top AI coding tools for developers, including code editors, completion engines, and natural language converters. Enhance your workflow with AI! ?️?

OpenAI DeepResearch alternative, An AI-driven research system that performs comprehensive, iterative research on any topic using multiple search engines and LLMs.

? Better text detection by combining multiple OCR engines (EasyOCR, Tesseract, and Pororo) with ? LLM.

The J.A.R.V.I.S. Speech API is designed to be simple and efficient, using the speech engines created by Google to provide functionality for parts of the API. Essentially, it is an API written in Java, including a recognizer, synthesizer, and a microphone capture utility. The project uses Google services for the synthesizer and recognizer. While this requires an Internet connection, it provides a complete, modern, and fully functional speech API in Java.

GraphRAG4OpenWebUI integrates Microsoft's GraphRAG technology into Open WebUI, providing a versatile information retrieval API. It combines local, global, and web searches for advanced Q&A systems and search engines. This tool simplifies graph-based retrieval integration in open web environments.

Eden AI: simplify the use and deployment of AI technologies by providing a unique API that connects to the best possible AI engines

An open-source intelligence (OSINT) analysis tool leveraging GPT-powered embeddings and vector search engines for efficient data processing

Implementation of WaveGrad high-fidelity vocoder from Google Brain in PyTorch.