Popular GitHub Repositories for Annotated Research Papers

??? 60+ Implementations/tutorials of deep learning papers with side-by-side notes ?; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ? reinforcement learning (ppo, dqn), capsnet, distillation, ... ?

? Guides, papers, lecture, notebooks and resources for prompt engineering

Investment Research for Everyone, Everywhere.

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

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

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.

? Papers & tech blogs by companies sharing their work on data science & machine learning in production.

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.

The most cited deep learning papers

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.

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

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