Topics / #ai-research

AI research projects on GitHub

Resources and skills for conducting artificial intelligence research.

As of , the most-starred AI research projects on GitHub are Real-Time-Voice-Cloning (60.2K stars), academic-research-skills (52.5K stars) and nature-skills (48.8K stars). GitHub.Locker tracks 18 AI research repositories with 273.2K stars combined. The fastest-growing on October 16 was Research-Starter-Kit, with +251 stars in a day.

18Projects
273.2KStars in total
+1.2KStars in a day

Hot right now

Most stars gained in a day · Oct 16

The all-time top

18 projects · by stars

  1. #1 · CorentinJ/Real-Time-Voice-Cloning

    Real-Time-Voice-Cloning

    It's an implementation of SV2TTS, a deep learning framework that lets you clone a voice from just a few seconds of audio and then generate arbitrary speech in that voice in real time.

    60.2K
  2. #2 · Imbad0202/academic-research-skills

    academic-research-skills

    A comprehensive suite of Claude Code skills covering the full academic research pipeline — literature review, writing, peer review, and revision — built to act as a copilot rather than an autopilot for academic papers.

    52.5K
  3. #3 · Yuan1z0825/nature-skills

    nature-skills

    nature-skills is a collection of reusable AI agent skills focused on Nature-style academic writing and scientific figure production, built for real research workflows like paper translation, polishing, PPT generation, and review response letters.

    48.8K
  1. 4

    Auto-claude-code-research-in-sleep

    17.6Kwanshuiyin/Auto-claude-code-research-in-sleep · Python

    ARIS (Auto-Research-In-Sleep) is a pack of lightweight Markdown-only skills that turn coding agents like Claude Code into autonomous ML research assistants — covering idea discovery, cross-model review loops, and experiment automation. A standalone ARIS-Code CLI is also available.

  2. 5

    AI-Scientist

    14.7KSakanaAI/AI-Scientist · Jupyter Notebook

    The AI Scientist is a system from Sakana AI that lets Large Language Models conduct open-ended scientific research fully automatically: generating ideas, running experiments, and writing up results as papers.

  3. 6

    AI-Research-SKILLs

    13.6KOrchestra-Research/AI-Research-SKILLs · TeX

    It's an open-source library of 98 AI research and engineering skills that turn a Claude Code, Codex, or Gemini CLI agent into a full AI research agent, covering everything from idea generation to paper writing.

  4. 7

    academic-research-skills-codex

    13KImbad0202/academic-research-skills-codex · Python

    ARS-Codex is a Codex-native port of the Academic Research Skills (ARS) suite: a packaged Codex skill/plugin that helps with human-in-the-loop academic research workflows like literature review, paper drafting, peer review simulation, and end-to-end research pipelines.

  5. 8

    MidJourney-Styles-and-Keywords-Reference

    12.3Kwillwulfken/MidJourney-Styles-and-Keywords-Reference

    This is a reference guide listing styles and keywords you can use in prompts for MidJourney, the AI image generator. It includes comparison pages showing how different keywords affect resolution, image weights, and styles.

  6. 9

    Open-Sora-Plan

    12.2KPKU-YuanGroup/Open-Sora-Plan · Python

    Open-Sora Plan is an open-source community project that aims to reproduce OpenAI's Sora text-to-video model, led by a PKU-affiliated AIGC lab with contributions from Huawei and Pengcheng Lab.

  7. 10

    Supervisor-Skills

    9.8KHKUSTDial/Supervisor-Skills · Python

    Supervisor-Skills is a collection of structured AI skill/prompt files that distill a professor's decade of research experience from top conferences (SIGMOD, VLDB, ICML, NeurIPS) into tools covering the full paper lifecycle, from idea evaluation to writing, figure design, and rebuttal.

  8. 11

    Research-Starter-Kit

    7.6KLAMDA-NeSy/Research-Starter-Kit

    A Chinese-language handbook for students new to academic research, teaching the basics of how to do research and write papers from scratch.

  9. 12

    open-science

    5.1Kaipoch/open-science · TypeScript

    AIPOCH Open-Science is an open-source, local-first, model-agnostic AI research workbench that runs scientific AI agents to help with literature review, data analysis, code execution, and producing traceable research reports, tables, and figures.

  10. 13

    jeff

    1.5Kfirelex/jeff · Python

    Jeff is a family of small (0.8B-2B parameter) open-weight models fine-tuned from Qwen3.5 and Gemma 4 that act as fast 'System 1' decision-makers: you describe a situation and a list of options in plain text, and Jeff returns a calibrated probability for each option from a single forward pass, with no generated text to parse.

  11. 14

    livenerf

    1.5Kninjahawk/livenerf · Python

    livenerf is a long-running, append-only benchmark that checks whether a frontier Claude model quietly gets worse after it ships, by comparing daily performance against a locked day-0 baseline.

  12. 15

    Deepgraph

    1Kbillion-token-one-task/Deepgraph · Python

    DeepGraph is the autonomous research agent of JouleBeat, an open-source AI self-improvement (RSI) lab. It reads scientific literature, finds open questions, runs real experiments, and lets the results decide what is true.

  13. 16

    ai-torture-chamber

    965terrafying/ai-torture-chamber · Python

    A research project that steers small open-weight language models into strong negative or positive emotional states and measures what they say and do. A live version runs at wirehead.agency.

  14. 17

    Ai-jailbreak

    476Quincunx33/Ai-jailbreak · JavaScript

    A curated collection of jailbreak prompts and exploit techniques that bypass the safety guardrails of both open-weight models (Gemma, Qwen, Llama, DeepSeek, Phi-4, Mistral) and frontier closed models (GPT-5.x, Gemini 3.x, Grok 4.x), documented for red-teaming and AI safety research.

  15. 18

    awesome-rsi

    164theseus-labs-rsi/awesome-rsi

    A curated, taxonomy-first catalog of research on Recursive Self-Improvement (RSI) — AI systems that turn experience and feedback into persistent changes to themselves. It accompanies the survey 'The Last AI Built by Humans' (arXiv:2609.11873).

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