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.
Awesome-LLM: a curated list of Large Language Model
| Date | Stars |
|---|---|
| 2026-07-31 | 27214 |
| 2026-08-01 | 27216 |
| 2026-08-06 | 27216 |
Today
— stars today
This week
— stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
# Awesome-LLM [](https://awesome.re)  🔥 Large Language Models(LLM) have taken the ~~NLP community~~ ~~AI community~~ **the Whole World** by storm. Here is a curated list of papers about large language models, especially relating to ChatGPT. It also contains frameworks for LLM training, tools to deploy LLM, courses and tutorials about LLM and all publicly available LLM checkpoints and APIs. ## Trending LLM Projects - [TinyZero](https://github.com/Jiayi-Pan/TinyZero) - Clean, minimal, accessible reproduction of DeepSeek R1-Zero - [open-r1](https://github.com/huggingface/open-r1) - Fully open reproduction of DeepSeek-R1 - [DeepSeek-R1](https://github.com/deepseek-ai/DeepSeek-R1) - First-generation reasoning models from DeepSeek. - [Qwen2.5-Max](https://qwenlm.github.io/blog/qwen2.5-max/) - Exploring the Intelligence of Large-scale MoE Model. - [OpenAI o3-mini](https://openai.com/index/openai-o3-mini/) - Pushing the frontier of cost-effective reasoning. - [DeepSeek-V3](https://github.com/deepseek-ai/DeepSeek-V3) - First open-sourced GPT-4o level model. - [Kimi-K2](https://github.com/MoonshotAI/Kimi-K2) - MoE language model with 32B active and 1T total parameters. ## Table of Content - [Awesome-LLM ](#awesome-llm-) - [Milestone Papers](#milestone-papers) - [Other Papers](#other-papers) - [LLM Leaderboard](#llm-leaderboard) - [Open LLM](#open-llm) - [LLM Data](#llm-data) - [LLM Evaluation](#llm-evaluation) - [LLM Training Framework](#llm-training-frameworks) - [LLM Inference](#llm-inference) - [LLM Applications](#llm-applications) - [LLM Tutorials and Courses](#llm-tutorials-and-courses) - [LLM Books](#llm-books) - [Great thoughts about LLM](#great-thoughts-about-llm) - [Miscellaneous](#miscellaneous) ## Milestone Papers <details> <summary> milestone papers </summary> | Date | keywords | Institute | Paper | |:-------:|:--------------------:|:------------------:|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | 2017-06 | Transformers | Google | [Attention Is All You Need](https://arxiv.org/pdf/1706.03762.pdf) | | 2018-06 | GPT 1.0 | OpenAI | [Improving Language Understanding by Generative Pre-Training](https://www.cs.ubc.ca/~amuham01/LING530/papers/radford2018improving.pdf) | | 2018-10 | BERT | Google | [BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding](https://aclanthology.org/N19-1423.pdf) | | 2019-02 | GPT 2.0 | OpenAI | [Language Models are Unsupervised Multitask Learners](https://d4mucfpksywv.cloudfront.net/better-language-models/language_models_are_unsupervised_multitask_learners.pdf) | | 2019-09 | Megatron-LM | NVIDIA | [Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism](https://arxiv.org/pdf/1909.08053.pdf) | | 2019-10 | T5 | Google | [Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer](https://jmlr.org/papers/v21/20-074.html)
Excerpt of 62,052 characters
Read on GitHub315
Hengyi Wang · Microsoft AI · United States
6
Zhmin Zhao · Software Analysis and Intelligence Lab (SAIL) & Lab on Maintenance, Construction and Intelligence of Software (MCIS) · Canada
6
6
4
Yuxuan Wang · Peking University
4
Zengzhi Wang · China
4
Michael Feil · @basetenlabs · United States
3
Romil Bhardwaj · UC Berkeley · United States
3
Changye Yu 🍃 · 知乎 / 公众号 / B站 @叶子哥AI · China
3
Cedric Vidal · Microsoft Corp · United States
3
Li Yin · SylphAI · United States
3
Prasad Chalasani · MLResearch · United States
3
Nathan Chen · Kimi · China
3
3
3
Ben Auffarth · Chelsea AI Ventures · United Kingdom
2
Lianmin Zheng · Meta · United States
2
fzyzcjy · +=1 (seriously this is the name)
2
Himanshu · @writesonic
2
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:d414ba51dc6beaeb, desc:curated list