Implementation of the Schmidt et al. (2013) clustering redshift method.

Gaussian mixture model for incomplete (missing or truncated) and noisy data

Python library for converting Python calculations into rendered latex.

Density estimation using Gaussian mixtures in the presence of noisy, heterogeneous and incomplete data

A wrapper class for the scikit-learn BaseEstimator class that implements both the astroML and Bovy et al. (2011) XDGMM methods.

Vectorized Nonnegative Matrix Factorization with heteroscedastic uncertainties and missing data

Reductions scripts for WHT using specreduce

A template for small scientific python projects