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.
Learn AI/ML for beginners with a roadmap and free resources.
| Date | Stars |
|---|---|
| 2026-07-24 | 4502 |
| 2026-07-25 | 4503 |
| 2026-07-28 | 4503 |
| 2026-07-30 | 4503 |
| 2026-08-06 | 4503 |
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growth rate 0.00%/day
<p align="center"> <img src="diagrams/awesome-ai-ml-resources.png" width="350" height="200"> </p> This repository contains free resources and a roadmap to learn Machine Learning and Artificial Intelligence in 2025. ## 📌 AI/ML Key Concepts - [Supervised Learning](https://medium.com/@kodeinkgp/supervised-learning-a-comprehensive-guide-7032b34d5097) - [Unsupervised Learning](https://cloud.google.com/discover/what-is-unsupervised-learning?hl=en#what-is-unsupervised-learning) - [Reinforcement Learning](https://spinningup.openai.com/en/latest/user/introduction.html#what-this-is) - [Deep Learning](https://www.datacamp.com/tutorial/tutorial-deep-learning-tutorial) - [Natural Language Processing (NLP)](https://medium.com/@ageitgey/natural-language-processing-is-fun-9a0bff37854e) - [Computer Vision](https://www.geeksforgeeks.org/computer-vision/) - [Generative adversarial networks (GANs)](https://aws.amazon.com/what-is/gan/) - [Dimensionality Reduction](https://scikit-learn.org/stable/modules/decomposition.html) - [Clustering Algorithms](https://scikit-learn.org/stable/modules/clustering.html) - [Bayesian Inference](https://www.statlect.com/fundamentals-of-statistics/Bayesian-inference#:~:text=Bayesian%20inference%20is%20a%20way,that%20could%20generate%20the%20data.) - [Time Series Analysis](https://otexts.com/fpp3/) - [Self-Supervised Learning](https://lilianweng.github.io/posts/2021-05-31-self-supervised-learning/) ## 🛠️ AI/ML Building Blocks - [Linear Algebra for Machine Learning](https://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/) - [Probability & Statistics](https://www.youtube.com/watch?v=2MuDZIAzBMY&list=PLoROMvodv4rOpr_A7B9SriE_iZmkanvUg) - [Calculus for Optimization](https://www.khanacademy.org/math/multivariable-calculus) - [Python for Machine Learning](https://www.coursera.org/learn/ai-python-for-beginners) - [Optimization Techniques](https://www.geeksforgeeks.org/optimization-algorithms-in-machine-learning/) - [Data Preprocessing & Feature Engineering](https://www.geeksforgeeks.org/what-is-feature-engineering/) - [Model Evaluation & Metrics](https://scikit-learn.org/stable/modules/model_evaluation.html) - [Regularization Techniques](https://www.geeksforgeeks.org/regularization-in-machine-learning/) - [Loss Functions](https://www.datacamp.com/tutorial/loss-function-in-machine-learning) - [Activation Functions](https://ml-cheatsheet.readthedocs.io/en/latest/activation_functions.html) - [Hyperparameter Tuning](https://www.geeksforgeeks.org/hyperparameter-tuning/) ## 👨🏽💻 AI/ML Roles - [Machine Learning Engineer](https://www.coursera.org/articles/what-is-machine-learning-engineer) - [Data Scientist](https://www.coursera.org/articles/what-is-a-data-scientist) - [Software Engineer (AI)](https://www.coursera.org/articles/ai-engineer) - [ML/AI Platform Engineer](https://ml-ops.org/) - [ML/AI Infrastructure Engineer](https://www.databricks.com/glossary/mlops) - [Framework Engineer](https://careers.qualcomm.com/careers/job/446698240161) - [Solution Architect](https://www.coursera.org/articles/solutions-architect) - [Developer Advocate](https://www.freecodecamp.org/news/what-the-heck-is-a-developer-advocate-87ab4faccfc4/) - [Solutions Engineer](https://www.coursera.org/articles/solutions-engineer) - [Applied Research Scientist](https://www.indeed.com/career-advice/finding-a-job/data-scientist-vs-research-scientist-vs-applied-scientist) - [Research Engineer](https://www.indeed.com/career-advice/finding-a-job/research-engineers) - [Research Scientist](https://www.coursera.org/articles/research-scientist) ## 🚗 AI/ML Roadmap 1. Learn Python and Core Libraries - [Intro Python](https://cs50.harvard.edu/python/2022/) - [Advanced Python](https://www.edx.org/learn/artificial-intelligence/harvard-university-cs50-s-introduction-to-artificial-intelligence-with-python) - [NumPy: Numerical computing and arrays](https://numpy.org/devdocs/user/quickstart.html) - [Pandas: Data manipulation and analysis
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Read on GitHubArman · @Microsoft · United States
24
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:e0f4aff959c67d49, topic:roadmap, readme:tutorial, desc:roadmap