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2020na_codes

annieslasso

The Cannon 2: Compressed sensing edition

apogee

Tools for dealing with APOGEE data

ares

ARES - Automatic Routine for line Equivalent widths in stellar Spectra

ares-moog

astronn

Deep Learning for Astronomers with Tensorflow

astroslam

Stellar LAbel Machine (SLAM).

base

Bayesian Analysis for Stellar Evolution

basicatlas

Python wrapper for running basic ATLAS-9/SYNTHE stellar models quickly and easily

basta

BASTA: The BAyesian STellar Algorithm

binspec

For generating and fitting unresolved binary spectra

bmcmc

MCMC package for Bayesian data analysis

cal_params

cal_teff

chem-i-calc

Chemical information calculator for resolved stellar spectroscopy

cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization. https://poloclub.github.io/cnn-explainer/

cycle_sn

Generative and Interpretable Deep Learning for Stellar Spectra

design-of-experiment-python

Design-of-experiment (DOE) generator for science, engineering, and statistics

doepy

Design of Experiment Generator. Read the docs at: https://doepy.readthedocs.io/en/latest/

emcee

The Python ensemble sampling toolkit for affine-invariant MCMC

galah_dr3

Repository accompanying GALAH DR3

gridcal

GridCal, a cross-platform power systems solver written in Python with user interface and embedded python console

isochrones

Pythonic stellar model grid access; easy MCMC fitting of stellar properties

kalepy

Kernel Density Estimation and (re)sampling

laspec

A toolkit for LAMOST spectra.

lhsmdu

This is an implementation of Deutsch and Deutsch, "Latin hypercube sampling with multidimensional uniformity", Journal of Statistical Planning and Inference 142 (2012) , 763-772

lightkurve

A friendly package for Kepler & TESS time series analysis in Python.

machine-learning-with-python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

mist_codes

moog

A package installer for the MOOG code

pyastronomy

A collection of astronomy-related routines in Python