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.
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.
| Date | Stars |
|---|---|
| 2026-07-31 | 509 |
| 2026-08-04 | 510 |
| 2026-08-06 | 510 |
| 2026-08-13 | 511 |
| 2026-08-18 | 511 |
| 2026-08-21 | 512 |
| 2026-08-28 | 513 |
| 2026-09-04 | 514 |
| 2026-09-09 | 514 |
| 2026-09-11 | 513 |
| 2026-09-14 | 513 |
| 2026-09-15 | 514 |
| 2026-09-16 | 515 |
| 2026-09-20 | 515 |
Today
— stars today
This week
+2 stars this week
This month
+3 stars this month
Momentum
2.0
growth rate 0.39%/day
🌐 Select Language / [日本語 🇯🇵 ](https://github.com/HayatoHongo/EveryonesLLM/tree/ja) | [中文 🇨🇳](README.chinese.md) #  Build LLM on Google Colab from scratch  # [Click-> AI YOU build in Chapter29😘](https://huggingface.co/spaces/HayatoHongoEveryonesAI/EveryonesGPT_SFT) --- ## Table of Contents  ### [WebApp Released (Now only in Japanese)](https://EveryonesAI-v2.created.app/) ### EveryonesLLM | Chapter | Estimated Time | Notebook | |---|---|---| | Chapter 00: Start Tutorial | 1-2 hours | [](https://colab.research.google.com/github/HayatoHongo/EveryonesLLM/blob/main/notebooks/todo/Everyones_nanoGPT_colab_Chapter00_todo_en.ipynb) | | Chapter 01: Dataloader | 1-2 hours | [](https://colab.research.google.com/github/HayatoHongo/EveryonesLLM/blob/main/notebooks/todo/Everyones_nanoGPT_colab_Chapter01_todo_en.ipynb) | | Chapter 02: TokenEmbedding | 0.5-1 hour | [](https://colab.research.google.com/github/HayatoHongo/EveryonesLLM/blob/main/notebooks/todo/Everyones_nanoGPT_colab_Chapter02_todo_en.ipynb) | | Chapter 03: PositionEmbedding | 0.5-1 hour | [](https://colab.research.google.com/github/HayatoHongo/EveryonesLLM/blob/main/notebooks/todo/Everyones_nanoGPT_colab_Chapter03_todo_en.ipynb) | | Chapter 04: EmbeddingModule | 0.5-1 hour | [](https://colab.research.google.com/github/HayatoHongo/EveryonesLLM/blob/main/notebooks/todo/Everyones_nanoGPT_colab_Chapter04_todo_en.ipynb) | | Chapter 05: LayerNorm | 1-2 hours | [](https://colab.research.google.com/github/HayatoHongo/EveryonesLLM/blob/main/notebooks/todo/Everyones_nanoGPT_colab_Chapter05_todo_en.ipynb) | | Chapter 06: AttentionHead | 3-4 hours | [](https://colab.research.google.com/github/HayatoHongo/EveryonesLLM/blob/main/notebooks/todo/Everyones_nanoGPT_colab_Chapter06_todo_en.ipynb) | | Chapter 07: MultiHeadAttention | 1-2 hours | [](https://colab.research.google.com/github/HayatoHongo/EveryonesLLM/blob/main/notebooks/todo/Everyones_nanoGPT_colab_Chapter07_todo_en.ipynb) | | Chapter 08: FeedForward | 1-2 hours | [](https://colab.research.google.com/github/HayatoHongo/EveryonesLLM/blob/main/notebooks/todo/Everyones_nanoGPT_colab_Chapter08_todo_en.ipynb) | | Chapter 09: TransformerBlock | 0.5-1 hour | [](https://colab.research.google.com/github/HayatoHongo/EveryonesLLM/blob/main/notebooks/todo/Everyones_nanoGPT_colab_Chapter09_todo_en.ipynb) | | Chapter 10: VocabularyLogits | 0.5-1 hour | [](https://colab.research.google.com/github/HayatoHongo/EveryonesLLM/blob/main/notebooks/todo/Everyones_nanoGPT_colab_Chapter10_todo_en.ipynb) | | Chapter 11: nanoGPT| 1-2 hours | [](https://colab.research.google.com/github/HayatoHongo/EveryonesLLM/blob/main/notebooks/todo/Everyones_nanoGPT_colab_Chapter11_todo_en.ipynb) | | Chapter 12: Trainer | 1-2 hours | [](https://colab.research.google.com/github/HayatoHongo/EveryonesLLM/blob/main/notebooks/todo/Everyones_nano
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:2cd088ef01d5be95, llm:No README or topics; repository name 'EveryonesLLM' suggests a project related to large language models (LLM). Language Jupyter Notebook implies examples/notebooks for using or demonstrating LLMs.
matched fp:2cd088ef01d5be95, llm:No README or topics; repository name 'EveryonesLLM' suggests a project related to large language models (LLM). Language Jupyter Notebook implies examples/notebooks for using or demonstrating LLMs.
matched fp:2cd088ef01d5be95, llm:No README or topics; repository name 'EveryonesLLM' suggests a project related to large language models (LLM). Language Jupyter Notebook implies examples/notebooks for using or demonstrating LLMs.
