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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.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
| Date | Stars |
|---|---|
| 2026-07-24 | 29260 |
| 2026-07-25 | 29261 |
| 2026-07-28 | 29261 |
| 2026-07-30 | 29261 |
| 2026-07-31 | 29277 |
| 2026-08-06 | 29294 |
Today
+17 stars today
This week
+33 stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.11%/day
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<p align="center">
<img src="https://raw.githubusercontent.com/donnemartin/data-science-ipython-notebooks/master/images/README_1200x800.gif">
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<p align="center">
<img src="https://raw.githubusercontent.com/donnemartin/data-science-ipython-notebooks/master/images/coversmall_alt.png">
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</p>
# data-science-ipython-notebooks
## Index
* [deep-learning](#deep-learning)
* [tensorflow](#tensor-flow-tutorials)
* [theano](#theano-tutorials)
* [keras](#keras-tutorials)
* [caffe](#deep-learning-misc)
* [scikit-learn](#scikit-learn)
* [statistical-inference-scipy](#statistical-inference-scipy)
* [pandas](#pandas)
* [matplotlib](#matplotlib)
* [numpy](#numpy)
* [python-data](#python-data)
* [kaggle-and-business-analyses](#kaggle-and-business-analyses)
* [spark](#spark)
* [mapreduce-python](#mapreduce-python)
* [amazon web services](#aws)
* [command lines](#commands)
* [misc](#misc)
* [notebook-installation](#notebook-installation)
* [credits](#credits)
* [contributing](#contributing)
* [contact-info](#contact-info)
* [license](#license)
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<p align="center">
<img src="http://i.imgur.com/ZhKXrKZ.png">
</p>
## deep-learning
IPython Notebook(s) demonstrating deep learning functionality.
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<p align="center">
<img src="https://avatars0.githubusercontent.com/u/15658638?v=3&s=100">
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### tensor-flow-tutorials
Additional TensorFlow tutorials:
* [pkmital/tensorflow_tutorials](https://github.com/pkmital/tensorflow_tutorials)
* [nlintz/TensorFlow-Tutorials](https://github.com/nlintz/TensorFlow-Tutorials)
* [alrojo/tensorflow-tutorial](https://github.com/alrojo/tensorflow-tutorial)
* [BinRoot/TensorFlow-Book](https://github.com/BinRoot/TensorFlow-Book)
* [tuanavu/tensorflow-basic-tutorials](https://github.com/tuanavu/tensorflow-basic-tutorials)
| Notebook | Description |
|--------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| [tsf-basics](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/tensor-flow-examples/notebooks/1_intro/basic_operations.ipynb) | Learn basic operations in TensorFlow, a library for various kinds of perceptual and language understanding tasks from Google. |
| [tsf-linear](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/tensor-flow-examples/notebooks/2_basic_classifiers/linear_regression.ipynb) | Implement linear regression in TensorFlow. |
| [tsf-logistic](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/tensor-flow-examples/notebooks/2_basic_classifiers/logistic_regression.ipynb) | Implement logistic regression in TensorFlow. |
| [tsf-nn](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/tensor-flow-examples/notebooks/2_basic_classifiers/nearest_neighbor.ipynb) | Implement nearest neighboars in TensorFlow. |
| [tsf-alex](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/tensor-flow-examples/notebooks/3_neural_networks/alexnet.ipynb) | Implement AlexNet in TensorFlow. |
| [tsf-cnn](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/tensor-flow-examples/notebooks/3_neural_networks/convolutional_network.ipynb) | Implement convolutional neural networks in TensorFlow. |
| [tsf-mlp](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/tensor-flow-examples/notebooks/3_neural_networks/multilayer_perceptron.ipynb) | Implement multilayer perceptrons in TensorFlow. |
| [tsf-rnn](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/tensor-flowExcerpt of 43,957 characters
Read on GitHub
Donne Martin · @facebook · United States
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Alessandro Marrella · @bandstandsoftware
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Poorna
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Shadab Shaikh
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Tuan Vu
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38elements · Japan
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Amaan Cheval · India
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incessantmeraki · Australia
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:708f31fe678da76b, topic:deep-learning, topic:tensorflow