Notebooks for learning AI.
GPL-3.0 License
Understand machine learning models with Contribution-Value plots
A growing collection of Jupyter Notebooks written in Python, OCaml and Julia for science examples...
Continuous- and Discrete-Time Signals and Systems - Theory and Computational Examples
A professional, lock-in-free Jupyter dev env for coders, teams and non-trivial, large Jupyter pro...
[Book-2019] Pragmatic AI: An Introduction to Cloud-based Machine Learning
Platform for integrating genomic analysis with Jupyter Notebooks.
Jupyter Interactive Notebook
Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython /...
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
JupyterLab computational environment.
Jute is a (planned) native notebook for interactive computing.
Digital Signal Processing - Theory and Computational Examples
Interactive power spectrum code
An IPython notebook plugin for visualizing ASTs.
IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018