RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.

🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

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。

Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI (gpt, claude, gemini, llama, qwen, mistral). Get started - free.

PyTorch Tutorial for Deep Learning Researchers

An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.

An autonomous agent that conducts deep research on any data using any LLM providers

An autonomous agent for deep financial research

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.

Tongyi Deep Research, the Leading Open-source Deep Research Agent

AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary

Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

Natural Language Processing Tutorial for Deep Learning Researchers

This repository contains implementations and illustrative code to accompany DeepMind publications

No description available

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

Fully local web research and report writing assistant

MiroThinker is a deep research agent optimized for complex research and prediction tasks. Our latest models, MiroThinker-1.7 and MiroThinker-H1, achieve 74.0 and 88.2 on the BrowseComp, respectively.

Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.

An open source deep research clone. AI Agent that reasons large amounts of web data extracted with Firecrawl

Keep searching, reading webpages, reasoning until it finds the answer (or exceeding the token budget)

A PyTorch Library for Accelerating 3D Deep Learning Research

Use any LLMs (Large Language Models) for Deep Research. Support SSE API and MCP server.

Summaries and notes on Deep Learning research papers

Local Deep Research achieves ~95% on SimpleQA benchmark (tested with GPT-4.1-mini). Supports local and cloud LLMs (Ollama, Google, Anthropic, ...). Searches 10+ sources - arXiv, PubMed, web, and your private documents. Everything Local & Encrypted.

MS-Agent: a lightweight framework to empower agentic execution of complex tasks