TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

An interactive data visualization tool which brings matplotlib graphics to the browser using D3.

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

Machine Learning toolbox for Humans

A Bokeh project developed for learning and teaching Bokeh interactive plotting!

Python bindings for the C++14 Boost::Histogram library

Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation

Training, generation, and analysis code for Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics

PyCon 2016 Computational Geometry Tutorial

Repository dedicated to AGC preparations & execution

Support files for coffea tutorials

Slides and examples of the combined TensorFlow and Keras workshop held at the 2nd IML workshop