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The fastai book, published as Jupyter Notebooks

Companion webpage to the book "Mathematics For Machine Learning"

A Haskell kernel for the Jupyter project.

Tutorial on scikit-learn and IPython for parallel machine learning

Zeek Analysis Tools (ZAT): Processing and analysis of Zeek network data with Pandas, scikit-learn, Kafka and Spark

This content is analysis and research of the data sources currently listed in ATT&CK.

Codes for the book "Julia for Data Analysis"

FlowAnalyzer is a tool to help in testing and analyzing OAuth 2.0 Flows, including OpenID Connect (OIDC).

A collection of RAPIDS examples for security analysts, data scientists, and engineers to quickly get started applying RAPIDS and GPU acceleration to real-world cybersecurity use cases.

Better heatmaps in Python

A series of educational Deep Learning Koans, using Julia and Flux.jl

Notebooks for introducing the machine learning toolbox MLJ (Machine Learning in Julia)

Data science and machine learning in chemical engineering

Including Haskell, R, Julia,Python and Jupyter Kernels generated by Nix

SCP Labs (Open Source Team for SuperCowPowers)

Tool to retrieve/visualize messages from IRC communication of IoT devices