Popular GitHub Repositories for Reproducible Research

Investment Research for Everyone, Everywhere.

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

Google Research

The first real AI developer

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

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.

Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

LLM based autonomous agent that conducts deep local and web research on any topic and generates a long report with citations.

This repository is primarily maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), artificial intelligence security, vulnerability research, exploit development, reverse engineering, and more.

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & 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.

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

DeerFlow is a community-driven Deep Research framework, combining language models with tools like web search, crawling, and Python execution, while contributing back to the open-source community.

A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. All in a modern, AI-native editor.

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

A one stop repository for generative AI research updates, interview resources, notebooks and much more!

Ongoing research training transformer models at scale

? Easy-to-use and powerful NLP and LLM library with ? Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including ?Text Classification, ? Neural Search, ? Question Answering, ?? Information Extraction, ? Document Intelligence, ? Sentiment Analysis etc.

[?updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. ? online docs: https://ufund-me.github.io/Qbot ? :news: qbot-mini: https://github.com/Charmve/iQuant

A reference containing Styles and Keywords that you can use with MidJourney AI. There are also pages showing resolution comparison, image weights, and much more!