A curated list of awesome machine learning interpretability resources.

TensorFlow's Visualization Toolkit

Collection of tutorials and examples

This is an automated machine learning (AutoML) package.

Visualizations for machine learning datasets

This is a python data science resources repository, including data sets, markdown, project guidelines, and sample data sets by David Yakobovitch.

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

Probabilistic reasoning and statistical analysis in TensorFlow

Visualizing Docker data

One chat bot to rule them all

Anidata Web Page

The open source JavaScript graphing library that powers plotly

R library for data.world

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Jupyter Notebook Conversion

make it easy to turn a lot of potentially large csv files into easily accessible open data

💫 Jupyter notebooks for spaCy examples and tutorials

Emmet support for Atom

Start here!

A Data4Democracy community working to make elections and elections data more transparent

A place to share useful code for processing energy data, etc.