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Top 23 Jupyter Notebook Tensorflow Projects
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DeepLearningExamples
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
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dopamine
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Project mention: Fired by Google for Creating the Google Workspace CLI | news.ycombinator.com | 2026-06-23This is clearly something done in official capacity, during working hours, with the knowledge and support of his manager, who announced the CLI.
It says "This is not an officially supported Google product" because it's a DevRel sample/experiment, just like dozens of other Google repositories made by Google employees as part of their job.
Even some other tools in github.com/google have as much: https://github.com/google/python-fire / https://github.com/google/pytype/blob/main/docs/index.md / https://github.com/google/dopamine / https://github.com/google/go-tika
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Project mention: AMD Advancing AI 2026: Software, Hardware & Framework, Unified | dev.to | 2026-07-23
His pitch is GPUs for the middle class. He talked about growing up in New Jersey with a parent who was a teacher. He doesn't care about data centers. What he cares about is the highest development velocity, and not the out-of-the-box-fast kind. His argument, the way I understood it: an out-of-the-box TensorFlow might be faster on day one, but tinygrad's velocity curve is built to climb higher and faster over time. And here's the part that got me. tinygrad has no dependencies. None. No numpy was used in the making of tinygrad. Which I learned is the whole flex. No dependencies means nothing underneath you can break, bloat, or drift out of version. Fewer moving parts, less that can rot. Very much my kind of principle. He even mentioned running tinygrad as a backend, which I am absolutely going to go try.
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Machine-Learning-Specialization-Coursera
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
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tensorflow-deep-learning
All course materials for the Zero to Mastery Deep Learning with TensorFlow course. (by mrdbourke)
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t81_558_deep_learning
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
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python-machine-learning-book-3rd-edition
The "Python Machine Learning (3rd edition)" book code repository
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machine_learning_complete
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
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ML-foundations
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
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alpha-zero-general
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
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LSTM-Human-Activity-Recognition
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
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A note from our sponsor - SaaSHub
www.saashub.com | 14 Aug 2026
Index
What are some of the best open-source Tensorflow projects in Jupyter Notebook? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | TensorFlow-Examples | 43,739 |
| 2 | handson-ml | 25,606 |
| 3 | Virgilio | 14,933 |
| 4 | nlp-tutorial | 14,896 |
| 5 | DeepLearningExamples | 14,847 |
| 6 | dopamine | 10,894 |
| 7 | TensorFlow-Tutorials | 9,263 |
| 8 | introtodeeplearning | 8,748 |
| 9 | examples | 8,279 |
| 10 | Machine-Learning-Specialization-Coursera | 7,743 |
| 11 | pyprobml | 7,122 |
| 12 | Practical_RL | 6,555 |
| 13 | docs | 6,325 |
| 14 | tensorflow-deep-learning | 5,900 |
| 15 | t81_558_deep_learning | 5,733 |
| 16 | python-machine-learning-book-3rd-edition | 5,029 |
| 17 | machine_learning_complete | 5,020 |
| 18 | jetson-containers | 4,823 |
| 19 | ML-foundations | 4,714 |
| 20 | alpha-zero-general | 4,471 |
| 21 | probability | 4,424 |
| 22 | ML-Workspace | 3,543 |
| 23 | LSTM-Human-Activity-Recognition | 3,488 |
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