🔭 Analyze NASA Kepler data using deep learning to detect exoplanets, leveraging innovative techniques for improved astronomical findings.
-
Updated
Mar 27, 2026 - Jupyter Notebook
🔭 Analyze NASA Kepler data using deep learning to detect exoplanets, leveraging innovative techniques for improved astronomical findings.
115 auto-updated space, astronomy & physics datasets on Hugging Face (NASA, NOAA, ESA, JPL). Satellites, asteroids, space probes (Voyager, Cassini, Mars), space weather, exoplanets, pulsars, radio/X-ray surveys, cosmic rays, particle physics, and more. Parquet format, no API keys.
exoplanet atmosphere retrieval pipeline using ExoJAX, NumPyro, SYSREM
Coupled atmosphere-interior framework to simulate the temporal evolution of rocky planets.
Transit and Radial velocity Interactive Fitting tool for Orbital analysis and N-body simulations: The Exo-Striker
Fast and easy exoplanet transit light curve modelling.
Planet Hunters TESS Lightcurve viewer
UNLV Star & Planet Formation Group
Federation of TinyML for Space Science - Democratizing exoplanet discovery. Process NASA data, detect transits, and discover new worlds.
Fast & scalable MCMC for all your exoplanet needs!
Tools for end-to-end reduction of JWST exoplanet observations
Academic project on detecting and generating exoplanet transit signals with LSTM and Autoencoders using labeled Kepler light curves from Kaggle.
Display the lightcurves of all the observed sectors of a Tess target.
Checking for false positives in TESS exoplanets searches by centroid calculation in Difference Images from out-of-transit and in-transit fluxes
Detecting Exoplanets using NASA Kepler Light Curves + Deep Learning
XGB model trainer to classify an observation as an exoplanet, candidate or false positive
Add a description, image, and links to the exoplanet topic page so that developers can more easily learn about it.
To associate your repository with the exoplanet topic, visit your repo's landing page and select "manage topics."