Pinned Repositories
AstroHackWeek2015
Materials for the 2015 Astro Hack Week
astronomaly
A flexible framework for anomaly detection in astronomy.
bayesian_bacon
calculate_fom_snmachine
check_sims
fit_lc_tests
hmc_analysis
ml-tutorials
A collection of machine learning tutorials I've created for teaching purposes
ml_esac
Machine learning tutorial at the ESAC Data Analysis & Statistics Workshop 2017
radio-z
Package for galaxy redshift estimation from HI emission lines, using Bayesian inference
MichelleLochner's Repositories
MichelleLochner/astronomaly
A flexible framework for anomaly detection in astronomy.
MichelleLochner/ml-tutorials
A collection of machine learning tutorials I've created for teaching purposes
MichelleLochner/AstroHackWeek2015
Materials for the 2015 Astro Hack Week
MichelleLochner/calculate_fom_snmachine
MichelleLochner/ml_esac
Machine learning tutorial at the ESAC Data Analysis & Statistics Workshop 2017
MichelleLochner/nassp_ml
MichelleLochner/radio-z
Package for galaxy redshift estimation from HI emission lines, using Bayesian inference
MichelleLochner/bayesian_bacon
MichelleLochner/check_sims
MichelleLochner/fit_lc_tests
MichelleLochner/hmc_analysis
MichelleLochner/zBEAMS
MichelleLochner/LSST-DESC-WFD-White-Paper
MichelleLochner/mgcls.astronomaly
Displays the unusual objects found by Astronomaly in the MeerKAT Galaxy Clusters Legacy Survey
MichelleLochner/ml_halos
MichelleLochner/OAD-Data-Science-Toolkit
The Office of Astronomy for Development's Data Science Toolkit.
MichelleLochner/ObservingStrategy
A community white paper about LSST observing strategy, with quantifications via the the Metric Analysis Framework.
MichelleLochner/radio-z.
Radio-z spectral line fitting code
MichelleLochner/rnn_paper_titles
Uses a Recurrent Neural Network to generate theoretical physics paper titles
MichelleLochner/supernova-machine