Lauren Anderson 's repositories
Energy-Forecasting
Compare forecasting models of energy production and needs
photoParallax
data-driven photometric parallaxes, built with Gaia and 2MASS
andersdot.github.io
my personal website
ASTR599_homework
Repository for students to submit homework assignments as pull requests
extinctions
Inferring extinctions for millions of stars in the Milky Way galaxy
LyA-InvertPhase
A method to reduce unwanted sample variance when predicting Lya forest power spectra, which converges 30x faster enabling tractable inference of cosmological parameters
NbodyPythonTools
Tools to analyze and explore large astronomical simulations of galaxy formation
WIDS2023_MI_team4e
WIDS Datathon 2023
Bring-DevOps-to-Machine-Learning-with-CML
Leveraging the powerful features of DevOps like CI/CD, automation, workflows and apply them to our data science projects & experiments with MLOps. The CML – Continuous Machine Learning is a very handy tool have for tracking the experiment results, collaborate with others, and automating the entire workflow.
Chempy
Start with the Chempy tutorial
dust
infer 3D dust map from noisy distance and integrated dust values
dustM31
Data-driven inferences of dust in the Andromeda Galaxy
highMetallicityHalo
Search for structures in the high metallicity stars in the Milky Way halo
lf
analysis software for creating luminosity functions from ChaNGa simulations
mockstreams
Mock observe disrupted globular clusters with Gaia errors
MP-Gadget
massively-parallel cosmology simulator
PDP2018
Materials for teaching the Akamai interns as part of the 2018 PDP program
radialmigration
Testing the radial migration of stars using Gaia and Apogee
shoderivz
Speeding up inferences that include evolving physical systems
thesis
The Little Galaxies that could Reionize the Universe