Jupyter-notebooks Libraries

11 Components & Libraries

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Jupyter-notebooks Libraries

Ready-to-run Docker images containing Jupyter applications

The container remains intact for restart after the Server exits.

Python code for "Probabilistic Machine learning" book by Kevin Murphy

The notebooks needed to make all the figures are available at the following locations. You can use any of the following options to install the other requirements. Run Then install manually.

The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️

A simple YAML API to get started quickly, a powerful Python API for total flexibility. Automatically cache your pipeline’s previous results and only re-compute tasks that have changed since your last…

🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

For example: Recommended versions:

Multiplatform plotting library based on the Grammar of Graphics

This grammar [...] is made up of a set of independent components that can be composed in many different ways. This makes [it] very powerful because you are not limited to a set of pre-specified graph…

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

This book brings the fundamentals of Machine Learning to you, using tools and techniques used to solve real-world problems in Computer Vision, Natural Language Processing, and Time Series analysis. T…

H2O.ai Machine Learning Interpretability Resources

Machine learning algorithms create potentially more accurate models than linear models, but any increase in accuracy over more traditional, better-understood, and more easily explainable techniques i…

Introduction to Cultural Analytics & Python, course website and online textbook powered by Jupyter Book

The book demonstrates how Python can be used to study cultural materials such as song lyrics, short stories, newspaper articles, tweets, Reddit posts, and film screenplays. It also introduces computa…

machine-learning-with-python-cookbook-notes

(Part of) Chris Albon's Machine Learning with Python Cookbook in .ipynb form

My jupyter notebooks/code samples from Chris Albon's Machine Learning with Python Cookbook

Scientific Computing for Chemists text for teaching basic computing skills to chemistry students using Python, Jupyter notebooks, and the SciPy stack. This text makes use of a variety of packages including NumPy, SciPy, matplotlib, pandas, seaborn, NMRglue, SymPy, scikit-image, and scikit-learn.

The following is the textbook used for the Scientific Computing Chemists course intended to teach chemists and chemistry students basic computer programming in Python and Jupyter Notebooks and advanc…

:notebook: A growing collection of Jupyter Notebooks written in Python, OCaml and Julia for science examples, algorithms, visualizations etc

You can also launch an interactive environment to play with the code by yourself, using one of these platforms: And more will come... soon! 🚅 You can also launch an interactive environment to play wi…

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