# Open Source Projects

## Altair

Altair is a tool for declarative data visualization in Python, built on the Vega ecosystem.

## AstroML

AstroML is a Python module for machine learning and data mining in
Astronomy and Astrophysics. It contains many commonly-used tools from
the astronomical literature, and hundreds of examples of their use. I
wrote this package to accompany our textbook, *Statistics, Data Mining,
and Machine Learning in Astronomy*.

## Scikit-Learn

Scikit-Learn is a powerful and extensive machine learning library written in Python. I have contributed in many areas of the project, but primarily in the area of generalized N-point problems & manifold learning.

## Scipy

Scipy is a collection of Python tools for scientific computing. My main contributions have been in the sparse matrix toolkit, primarily in iterative sparse matrix decompositions and fast graph algorithms.

## Other Packages

I also have made numerous small contributions to projects such as NumPy, Matplotlib, IPython, Hyde, Pelican, and others, and have open-sourced much of my other code and teaching materials. See my GitHub profile for details.