Top AI Repos — open-source AI, indexed and scored

Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.

PetroIvaniuk/llms-tools

A list of LLMs Tools & Projects

71Apache-2.0

View on GitHub

Stars: 322
Forks: 48
Watchers: 6
Open issues: 0
Contributors: —

Star history, last 90 days+1 over 3 snapshots

2026-07-31 · 3212026-08-06 · 322

Star history, last 90 days
Date	Stars
2026-07-31	321
2026-08-04	322
2026-08-06	322

Today

— stars today

This week

— stars this week

This month

— stars this month

Momentum

0.0

growth rate 0.00%/day

From the README

# LLMs Tools & Research Projects
The repository contains a list of ready-to-use AI Tools, Open Sources, and Research Projects \
Apart from LLMs, you can find here new AI research from other areas such as Computer Vision, etc.\
Welcome to contribute.


## Nobel Prize
**The Nobel Prize in Physics 2024** was awarded to **John J. Hopfield and Geoffrey E. Hinton** [“for foundational discoveries and inventions that enable machine learning with artificial neural networks”](https://www.nobelprize.org/prizes/physics/2024/press-release/).

**The Nobel Prize in Chemistry 2024** was awarded with one half to **David Baker** [“for computational protein design”](https://www.nobelprize.org/prizes/chemistry/2024/press-release/) and the other half jointly to **Demis Hassabis and John M. Jumper** [“for protein structure prediction”](https://www.nobelprize.org/prizes/chemistry/2024/press-release/).

Jürgen Schmidhuber's Post: [The NobelPrizeinPhysics2024 for Hopfield & Hinton rewards plagiarism and incorrect attribution in computer science](https://x.com/SchmidhuberAI/status/1844022724328394780)

## Turing Award
**TURING AWARD in 2025** was recognized **Andrew Barto and Richard Sutton** as [Pioneers of Reinforcement Learning](https://amturing.acm.org/)

## Large Language Models (LLMs) and Chatbots

### Courses
[![DeepLearning.AI](https://img.shields.io/badge/DeepLearning.AI%20|%20Andrew%20Ng-E73946?style=for-the-badge)](https://learn.deeplearning.ai/)  [![LangChain](https://img.shields.io/badge/LangChain%20Academy-1C3C3C?style=for-the-badge&logo=chainlink&logoColor=white)](https://academy.langchain.com/collections)  [![Anthropic](https://img.shields.io/badge/Anthropic%20Academy-FFD700?style=for-the-badge&logo=anthropic&logoColor=black)](https://anthropic.skilljar.com)

### Video
[Andrej Karpathy](https://www.youtube.com/@AndrejKarpathy)\
-- [State of GPT](https://youtu.be/bZQun8Y4L2A), [[1hr Talk] Intro to Large Language Models](https://youtu.be/zjkBMFhNj_g?si=Q30PHie5Ls_aqEFY), [How I use LLMs](https://youtu.be/EWvNQjAaOHw?si=HI1Z0GO4CDgcBVj5)\
Andrew Ng: [Opportunities in AI - 2023](https://youtu.be/5p248yoa3oE?si=LJQTHeOF-XUQB72U), [AI Dev 25: Code, learn, connect](https://www.youtube.com/playlist?list=PLkDaE6sCZn6EYD2iP6xvi7c3zSbJXi0_jZT)\
Sequoia Capital: [AI Ascent 2024](https://youtube.com/playlist?list=PLOhHNjZItNnOoPxOF3dmq30UxYqFuxXKn&si=peCIxzdQrATIPsg7), [AI Ascent 2025](https://youtube.com/playlist?list=PLOhHNjZItNnMEqGLRWkKjaMcdSJptkR08&si=9q9X2HHNk8FB38Op)\
[Greg Brockman | The Inside Story of ChatGPT’s Astonishing Potential](https://youtu.be/C_78DM8fG6E)\
[Sam Altman | GPT-4 Turbo | OpenAI DevDay, Opening Keynote](https://www.youtube.com/live/U9mJuUkhUzk?si=f4qPQh0_buASTp1b)\
[Gemma Developer Day Paris | Gemma 3 | Google for Developers](https://www.youtube.com/playlist?list=PLOU2XLYxmsILOkAPDwRqvbiReWbIcLC4k)\
[3Blue1Brown | Neural networks](https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi)

### Reading
[AI 2027 | Forecasting the future of AI](https://ai-2027.com/)\
[Everypixel Journal | 2023: The Year of AI | Reading](https://journal.everypixel.com/2023-the-year-of-ai)\
[Stanford University | AI Index Report (since 2017)](https://aiindex.stanford.edu/report/)\
Nathan Benaich & Alex Chalmers | State of AI Report | [2024](https://docs.google.com/presentation/d/1GmZmoWOa2O92BPrncRcTKa15xvQGhq7g4I4hJSNlC0M), [2025](https://docs.google.com/presentation/d/1xiLl0VdrlNMAei8pmaX4ojIOfej6lhvZbOIK7Z6C-Go/edit)\
[Menlo Ventures | The State of Generative AI in the Enterprise | 2024](https://menlovc.com/2024-the-state-of-generative-ai-in-the-enterprise)\
[Greg Kamradt | Full Stack Retrieval](https://community.fullstackretrieval.com/)\
[Prompt Engineering Guide](https://www.promptingguide.ai/)\
OpenAI: [Prompt engineering](https://platform.openai.com/docs/guides/prompt-engineering), [Cookbook](https://cookbook.openai.com/), [Model Spec](https://openai.com/index/sharing-the-latest-model-spec/), [Model Spec | Old](https://

Excerpt of 146,298 characters

Read on GitHub

Top contributors

No contributor data yet — it is fetched during the contributor sync pass.

Quality score

Would you bet a product on this? Bounded 0–100 and slow moving.

71/10071

Maintenance: 90%; How recently the default branch was pushed to
Releases: 25%; Recency and cadence of tagged releases
Community: 20%; Contributor breadth and bus factor
Issue backlog: 100%; Open issues measured against the size of the audience
Documentation: 100%; README depth, plus a homepage and topics
Licensing: 100%; How freely the code can be adopted

What to know before adopting

No tagged releases
Usable in commercial products with attribution.

Details

Created: 3 years ago
Last push: 7 days ago
Last release: none
Release tag: —
Releases in the last year: 0
Default branch: main
Size: 461 KB
Owner type: User
Owner location: Lviv, Ukraine
Discovered via: phrase:llm
First indexed: 7 days ago
Last synced: 2 days ago

PetroIvaniuk/llms-tools

A list of LLMs Tools & Projects

71Apache-2.0

View on GitHub

Stars: 322
Forks: 48
Watchers: 6
Open issues: 0
Contributors: —

Star history, last 90 days+1 over 3 snapshots

2026-07-31 · 3212026-08-06 · 322

Star history, last 90 days
Date	Stars
2026-07-31	321
2026-08-04	322
2026-08-06	322

Today

— stars today

This week

— stars this week

This month

— stars this month

Momentum

0.0

growth rate 0.00%/day

From the README

# LLMs Tools & Research Projects
The repository contains a list of ready-to-use AI Tools, Open Sources, and Research Projects \
Apart from LLMs, you can find here new AI research from other areas such as Computer Vision, etc.\
Welcome to contribute.


## Nobel Prize
**The Nobel Prize in Physics 2024** was awarded to **John J. Hopfield and Geoffrey E. Hinton** [“for foundational discoveries and inventions that enable machine learning with artificial neural networks”](https://www.nobelprize.org/prizes/physics/2024/press-release/).

**The Nobel Prize in Chemistry 2024** was awarded with one half to **David Baker** [“for computational protein design”](https://www.nobelprize.org/prizes/chemistry/2024/press-release/) and the other half jointly to **Demis Hassabis and John M. Jumper** [“for protein structure prediction”](https://www.nobelprize.org/prizes/chemistry/2024/press-release/).

Jürgen Schmidhuber's Post: [The NobelPrizeinPhysics2024 for Hopfield & Hinton rewards plagiarism and incorrect attribution in computer science](https://x.com/SchmidhuberAI/status/1844022724328394780)

## Turing Award
**TURING AWARD in 2025** was recognized **Andrew Barto and Richard Sutton** as [Pioneers of Reinforcement Learning](https://amturing.acm.org/)

## Large Language Models (LLMs) and Chatbots

### Courses
[![DeepLearning.AI](https://img.shields.io/badge/DeepLearning.AI%20|%20Andrew%20Ng-E73946?style=for-the-badge)](https://learn.deeplearning.ai/)  [![LangChain](https://img.shields.io/badge/LangChain%20Academy-1C3C3C?style=for-the-badge&logo=chainlink&logoColor=white)](https://academy.langchain.com/collections)  [![Anthropic](https://img.shields.io/badge/Anthropic%20Academy-FFD700?style=for-the-badge&logo=anthropic&logoColor=black)](https://anthropic.skilljar.com)

### Video
[Andrej Karpathy](https://www.youtube.com/@AndrejKarpathy)\
-- [State of GPT](https://youtu.be/bZQun8Y4L2A), [[1hr Talk] Intro to Large Language Models](https://youtu.be/zjkBMFhNj_g?si=Q30PHie5Ls_aqEFY), [How I use LLMs](https://youtu.be/EWvNQjAaOHw?si=HI1Z0GO4CDgcBVj5)\
Andrew Ng: [Opportunities in AI - 2023](https://youtu.be/5p248yoa3oE?si=LJQTHeOF-XUQB72U), [AI Dev 25: Code, learn, connect](https://www.youtube.com/playlist?list=PLkDaE6sCZn6EYD2iP6xvi7c3zSbJXi0_jZT)\
Sequoia Capital: [AI Ascent 2024](https://youtube.com/playlist?list=PLOhHNjZItNnOoPxOF3dmq30UxYqFuxXKn&si=peCIxzdQrATIPsg7), [AI Ascent 2025](https://youtube.com/playlist?list=PLOhHNjZItNnMEqGLRWkKjaMcdSJptkR08&si=9q9X2HHNk8FB38Op)\
[Greg Brockman | The Inside Story of ChatGPT’s Astonishing Potential](https://youtu.be/C_78DM8fG6E)\
[Sam Altman | GPT-4 Turbo | OpenAI DevDay, Opening Keynote](https://www.youtube.com/live/U9mJuUkhUzk?si=f4qPQh0_buASTp1b)\
[Gemma Developer Day Paris | Gemma 3 | Google for Developers](https://www.youtube.com/playlist?list=PLOU2XLYxmsILOkAPDwRqvbiReWbIcLC4k)\
[3Blue1Brown | Neural networks](https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi)

### Reading
[AI 2027 | Forecasting the future of AI](https://ai-2027.com/)\
[Everypixel Journal | 2023: The Year of AI | Reading](https://journal.everypixel.com/2023-the-year-of-ai)\
[Stanford University | AI Index Report (since 2017)](https://aiindex.stanford.edu/report/)\
Nathan Benaich & Alex Chalmers | State of AI Report | [2024](https://docs.google.com/presentation/d/1GmZmoWOa2O92BPrncRcTKa15xvQGhq7g4I4hJSNlC0M), [2025](https://docs.google.com/presentation/d/1xiLl0VdrlNMAei8pmaX4ojIOfej6lhvZbOIK7Z6C-Go/edit)\
[Menlo Ventures | The State of Generative AI in the Enterprise | 2024](https://menlovc.com/2024-the-state-of-generative-ai-in-the-enterprise)\
[Greg Kamradt | Full Stack Retrieval](https://community.fullstackretrieval.com/)\
[Prompt Engineering Guide](https://www.promptingguide.ai/)\
OpenAI: [Prompt engineering](https://platform.openai.com/docs/guides/prompt-engineering), [Cookbook](https://cookbook.openai.com/), [Model Spec](https://openai.com/index/sharing-the-latest-model-spec/), [Model Spec | Old](https://

Excerpt of 146,298 characters

Read on GitHub

Top contributors

No contributor data yet — it is fetched during the contributor sync pass.

Quality score

Would you bet a product on this? Bounded 0–100 and slow moving.

71/10071

Maintenance: 90%; How recently the default branch was pushed to
Releases: 25%; Recency and cadence of tagged releases
Community: 20%; Contributor breadth and bus factor
Issue backlog: 100%; Open issues measured against the size of the audience
Documentation: 100%; README depth, plus a homepage and topics
Licensing: 100%; How freely the code can be adopted

What to know before adopting

No tagged releases
Usable in commercial products with attribution.

Details

Created: 3 years ago
Last push: 7 days ago
Last release: none
Release tag: —
Releases in the last year: 0
Default branch: main
Size: 461 KB
Owner type: User
Owner location: Lviv, Ukraine
Discovered via: phrase:llm
First indexed: 7 days ago
Last synced: 2 days ago

Top AI Repos — open-source AI, indexed and scored

PetroIvaniuk/llms-tools

From the README

Top contributors

Quality score

What to know before adopting

Categories

Details

PetroIvaniuk/llms-tools

From the README

Top contributors

Quality score

What to know before adopting

Categories

Details

Top AI Repos — open-source AI, indexed and scored

Trend

From the README

Top contributors

Quality score

What to know before adopting

Categories

Details

Trend

From the README

Top contributors

Quality score

What to know before adopting

Categories

Details