Stars
Vectorized Nonnegative Matrix Factorization with heteroscedastic uncertainties and missing data
Principal Component Analysis (PCA) for Missing and/or Noisy Data
Library of IDL astronomy routines converted to Python.
Utilities for plotting in matplotlib, plotly, etc. using a symmetric or signed log transform. This allows the plotting of positive and negative data with a pseudo-log axis scale or stretch.
A Dash component for the Aladin Sky Atlas.
Python implementation of Levenberg-Marquardt algorithm built from scratch using NumPy.
Simulate Swarzschild black holes based on the methods presented in Luminet (1979)
An alternative to the Gauss-Hermite series for the modelling of line-of-sight velocity data