Michael Mommert's repositories
photometrypipeline
automated photometry pipeline for small to medium-sized observatories
cloudynight
Code and example data repository for Mommert (2020): Cloud Identification from All-sky Camera Data with Machine Learning, Astronomical Journal, 159
callhorizons
a python interface to JPL HORIZONS ephemerides and orbital elements
iadfschool2023_efficientlearning
Resources for the GRSS IADF School 2023: Label-efficient Deep Learning in Remote Sensing
spitzerneos
Compilation of Spitzer Space Telescope Observations of Near-Earth Objects
geotiff_sample
A sample GeoTiff file.
astroquery
Functions and classes to access online data resources. Maintainer: @keflavich and @bsipocz
deadparrot-ml
An introduction to Machine Learning as part of the Lowell Observatory Dead Parrots Seminar
minetracking2021
Sample data for the Mine Tracking Workshop 2021
sdss_stars_galaxies
A toy project to distinguish between stars, elliptical, and spiral galaxies based on SDSS photometric data.
Advanced-Deep-Learning-with-Keras
Advanced Deep Learning with Keras, published by Packt
astropy.github.com
The Astropy web pages
courseAIML
A series of interactive labs we prepared for the Introduction into Artificial Intelligence and Machine Learning course. The content of the series is based on Python, IPython Notebook, and PyTorch.
DeadParrots
Materials from the Dead Parrots seminar series at Lowell Observatory, started in 2018.
HFT-KI-Workshop_2023
Resources for the HFT KI Workshop, 2023
hft-kid-2024summer
Kursmaterialien für das HFT Stuttgart-Modul "KI-basierte Datenanalyse", Sommersemester 2024
hft-rss-2024summer
Resources for the HFT Stuttgart "Remote Sensing Studies" module, summer term 2024
Ikea-distance
How far is Ikea? A data science toy project.
pride_and_prejudice_and_nlp
a Natural Language Processing toy project
Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
sbpy-tutorial
sbpy tutorials and workshop materials
streak_detection
Recognizing Asteroid Streaks using a Convolutional Neural Network - A Toy Project