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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.
A curated list of Machine Learning and Deep Learning tutorials in Jupyter Notebook format ready to run in Google Colaboratory
| Date | Stars |
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| 2026-07-31 | 321 |
| 2026-08-06 | 321 |
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[](https://www.carlostoxtli.com/#awesome) # Awesome Machine Learning Jupyter Notebooks for Google Colaboratory [](https://github.com/sindresorhus/awesome) > A curated list of Machine Learning and Deep Learning tutorials in Jupyter Notebook format ready to run in Google Colaboratory You can find the credits for the authors in the header of each Jupyter Notebook. ## Contents - [Machine Learning](#machine-learning) - [Deep Learning](#deep-learning) - [Reinforcement Learning](#reinforcement-learning) ## Machine Learning - [Supervised Learning plots](https://www.google.com/url?q=https://colab.research.google.com/drive/1gmZWE7Tynhx1g9vzeqyaMPdO0pdwLmuJ&sa=D&ust=1571021489211000) - [Unsupervised Learning plots](https://www.google.com/url?q=https://colab.research.google.com/drive/1yWT08sgqswCkuZx06EH3qdZcWTPp2Wvt&sa=D&ust=1571021489212000) - [Machine Learning Basic concepts 1](https://www.google.com/url?q=https://colab.research.google.com/drive/1ZgDgOcb4NR-u62cFMdZJBPXux95E4wZt&sa=D&ust=1571021489213000) & [2](https://www.google.com/url?q=https://colab.research.google.com/drive/12X03Yz5Om_ryN9FnuhLvgMe8khB7RUC5&sa=D&ust=1571021489213000) & [3](https://www.google.com/url?q=https://colab.research.google.com/drive/1ldHvgs9qeNIWBCxT0U8OT9SkSisVd4sj&sa=D&ust=1571021489213000) & [4](https://www.google.com/url?q=https://colab.research.google.com/drive/1_6gJHuKOc2-cCLXsNhZ7DW89nF_G1NP-&sa=D&ust=1571021489213000) - [Linear Regression 1](https://www.google.com/url?q=https://colab.research.google.com/drive/1-dTb2vCiZHa-DnyqlVFGOnMSNjvkIOTP&sa=D&ust=1571021489214000) & [2](https://www.google.com/url?q=https://colab.research.google.com/drive/1Z20iJspQm2Y_wLI51wgE6nXGOSu1kG4W&sa=D&ust=1571021489214000) & [3](https://www.google.com/url?q=https://colab.research.google.com/drive/1-yk3m6p3ylNLtTaEf3nya6exO_wv8f_L&sa=D&ust=1571021489214000) - [Decision Trees 1](https://www.google.com/url?q=https://colab.research.google.com/drive/1Fc8qs1fwdcpoZ_-tTj32OBl-tCGlAe5c&sa=D&ust=1571021489215000) - [Random Forest 1](https://www.google.com/url?q=https://colab.research.google.com/drive/1WMOOtaHAMZPi-enVM8RRM_CC-grEtm9P&sa=D&ust=1571021489215000) & [2](https://www.google.com/url?q=https://colab.research.google.com/drive/1jDdWp-CJybMJDX17jBmG5qoPPg9qj1sm&sa=D&ust=1571021489215000) & [3](https://www.google.com/url?q=https://colab.research.google.com/drive/1-uDIRl1aYqmJX59rAJumHY1T20QqBJiQ&sa=D&ust=1571021489216000) & [4](https://www.google.com/url?q=https://colab.research.google.com/drive/1-uDIRl1aYqmJX59rAJumHY1T20QqBJiQ&sa=D&ust=1571021489216000) - [Naive Bayes 1](https://www.google.com/url?q=https://colab.research.google.com/drive/1qOCllKsBBrLeUnP-XAXHefXCtbuBWl69&sa=D&ust=1571021489216000) & [2](https://www.google.com/url?q=https://colab.research.google.com/drive/11FiWH00vzygQp1T_pD0MCfMFg6FYsd01&sa=D&ust=1571021489217000) - [k-Nearest Neighbor 1](https://www.google.com/url?q=https://colab.research.google.com/drive/1GeUVjDW74SxFxz2Nh3rqOlte-S2dblYv&sa=D&ust=1571021489217000) & [2](https://www.google.com/url?q=https://colab.research.google.com/drive/1X12qds10ZfN7QCrmpRR2OXxa--PTyS5e&sa=D&ust=1571021489218000) - [k-Means 1](https://www.google.com/url?q=https://colab.research.google.com/drive/1RL3oZm6LgnEChI1aOQZoMn1WDk-DQJiV&sa=D&ust=1571021489218000) & [2](https://www.google.com/url?q=https://colab.research.google.com/drive/1yvy1scktjcDyydG2fZz2OJfRFAer0SEO&sa=D&ust=1571021489218000) & [3](https://www.google.com/url?q=https://colab.research.google.com/drive/1CzEf6giBXPSQI5UJOhZrZfYKAJcH68wg&sa=D&ust=1571021489218000) - [Support Vector Machines 1](https://www.google.com/url?q=https://colab.research.google.com/drive/13PRk-GKeSivp4R-FIdjmYBQS7xWUco9C&sa=D&ust=1571021489219000) - [Logistic Regression 1](https://www.google.com/url?q=https://colab.research.google.com/drive/1PWmvsZRaj3JQ8rtj6vlwhJhJpOrIAamT&sa=D&ust=1571021
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:cad1eaaf5bd632e4, topic:awesome, topic:awesome-list, desc:curated list