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annz

Machine learning methods for astrophysics (photometric redshift and PDF estimation, star/galaxy classification etc.)

astrorapid

Real-time Automated Photometric IDentification (RAPID) of astronomical transients using deep learning

bao

Explores the use of photometric data and machine learning to predict the strength of the spectroscopic BAO signal.

broker_workshop

dm-in-stars

A Dark Matter module for MESA

fluxgui

Better lighting for Linux. Open source GUI for xflux

fornax-demo-notebooks

Demo notebooks for the Fornax project

gpz

GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data

hvs

iso

Generates isochrones from MESA output files.

job-market

Academic job market template

learning-by-doing

a set of tasks for people to learn basic software and data science skills by completing the tasks

marvin

Data access and visualization for MaNGA. http://sdss-marvin.readthedocs.io/en/latest/

mist_codes

open-data-registry

A registry of publicly available datasets on AWS

pgb_testing

Repo for testing ideas related to the Pitt-Google Broker.

photoz_errors

Tests various machine learning algorithms on the problem of predicting photometric redshifts (photo-z's). Evaluates the errors as a function of training sample size.

plasticc_alerts

supernnova

Open Source Photometric classification https://supernnova.readthedocs.io

test

troyraen.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes