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.
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
| Date | Stars |
|---|---|
| 2026-08-05 | 2929 |
| 2026-08-07 | 2930 |
| 2026-08-09 | 2930 |
| 2026-08-10 | 2930 |
| 2026-08-11 | 2930 |
| 2026-08-12 | 2931 |
| 2026-08-14 | 2932 |
| 2026-08-16 | 2934 |
| 2026-08-17 | 2934 |
| 2026-08-18 | 2935 |
| 2026-08-19 | 2936 |
| 2026-08-20 | 2937 |
| 2026-08-23 | 2936 |
| 2026-08-26 | 2937 |
| 2026-08-27 | 2938 |
| 2026-08-28 | 2939 |
| 2026-08-29 | 2939 |
| 2026-08-30 | 2939 |
| 2026-09-01 | 2941 |
| 2026-09-02 | 2943 |
| 2026-09-05 | 2942 |
| 2026-09-06 | 2941 |
| 2026-09-07 | 2940 |
| 2026-09-08 | 2941 |
| 2026-09-10 | 2940 |
| 2026-09-14 | 2941 |
| 2026-09-15 | 2942 |
| 2026-09-17 | 2944 |
| 2026-09-18 | 2943 |
| 2026-09-19 | 2944 |
| 2026-09-20 | 2945 |
| 2026-09-22 | 2948 |
| 2026-09-23 | 2949 |
| 2026-09-24 | 2949 |
| 2026-09-30 | 2950 |
| 2026-10-02 | 2951 |
| 2026-10-03 | 2950 |
| 2026-10-04 | 2951 |
| 2026-10-06 | 2952 |
| 2026-10-08 | 2954 |
| 2026-10-09 | 2956 |
| 2026-10-11 | 2955 |
| 2026-10-12 | 2956 |
| 2026-10-14 | 2957 |
| 2026-10-15 | 2959 |
| 2026-10-16 | 2960 |
| 2026-10-17 | 2961 |
| 2026-10-18 | 2960 |
| 2026-10-21 | 2961 |
| 2026-10-27 | 2962 |
| 2026-10-28 | 2963 |
| 2026-10-29 | 2963 |
| 2026-11-01 | 2964 |
| 2026-11-02 | 2965 |
| 2026-11-04 | 2965 |
Today
— stars today
This week
+2 stars this week
This month
+14 stars this month
Momentum
0.0
growth rate 0.07%/day
[](https://github.com/tirthajyoti/Papers-Literature-ML-DL-RL-AI/network) [](https://github.com/tirthajyoti/Papers-Literature-ML-DL-RL-AI/stargazers) [](https://github.com/tirthajyoti/Papers-Literature-ML-DL-RL-AI/pulls) # Impactful and widely cited papers and literature on ML/DL/RL/AI **Widely cited and impactful papers/literature and free tutorials/books, related to Artificial intelligence (AI), statistical modeling, Machine Learning (ML), Deep learning (DL), Reinforcement learning (RL), and their various applications.** ## Collector/maintainer Papers collected and maintained by [Dr. Tirthajyoti Sarkar](https://tirthajyoti.github.io). <br>Please feel free to [add me on LinkedIn](https://www.linkedin.com/in/tirthajyoti-sarkar-2127aa7/)  ## Topics and directory listings ### [AI Hardware](https://github.com/tirthajyoti/Papers-Literature-ML-DL-RL-AI/tree/master/AI%20Hardware) ### [Application of Artificial Intelligence](https://github.com/tirthajyoti/Papers-Literature-ML-DL-RL-AI/tree/master/Application%20of%20AI) ### [Artificial Intelligence (AI), and Game Theory](https://github.com/tirthajyoti/Papers-Literature-ML-DL-AI/tree/master/AI-Game-Theory) ### [Deep Learning](https://github.com/tirthajyoti/Papers-Literature-ML-DL-AI/tree/master/Deep-learning) ### [Fairness, Bias, and Ethics in AI](https://github.com/tirthajyoti/Papers-Literature-ML-DL-RL-AI/tree/master/Fairness%2C%20Bias%2C%20Ethics%20in%20AI%20and%20ML) ### [General Machine Learning topics](https://github.com/tirthajyoti/Papers-Literature-ML-DL-AI/tree/master/General-Machine-Learning) ### [Reinforcement Learning](https://github.com/tirthajyoti/Papers-Literature-ML-DL-AI/tree/master/Reinforcement%20Learning) ### [Statistics and Statistical Learning](https://github.com/tirthajyoti/Papers-Literature-ML-DL-AI/tree/master/Statistics%20and%20Statistical%20Learning) ### [Learning Theory](https://github.com/tirthajyoti/Papers-Literature-ML-DL-AI/tree/master/Learning%20Theory) ### (New!) [ML Ops](https://github.com/tirthajyoti/Papers-Literature-ML-DL-RL-AI/tree/master/ML-Ops) ### (New!) [ML for manufacturing and IoT](https://github.com/tirthajyoti/Papers-Literature-ML-DL-RL-AI/tree/master/ML-for-manufacturing-IoT)
Excerpt of 2,614 characters
Read on GitHub
Tirthajyoti Sarkar · Rhombus Power · United States
273
Sayak Paul · @huggingface · India
35
Shikhar Vaish
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:09eb863dabb8cef5, topic:deep-learning, topic:neural-network
matched fp:09eb863dabb8cef5, topic:reinforcement-learning, desc:reinforcement learning, readme:reinforcement learning