Generalized data analysis workflow via a consistent easy to use interface.
A list of space exploration related books (some are online, some are on paper)
Julia-based thermophysical modeling (TPM) tool for asteroids.
This repository contains the laboratory portion of an upper level undergraduate class in Python on data visualization and statistics for geo & space scientists. Labs are updated when the course is in session through the most recent branch. See master version for current class.
FORTRAN and IDL codes to analyze solar magnetic field observations and construct magnetic models
A curated list of science- and engineering related repositories on GitHub and in neighboring counties
A Virtual Reality (VR) Museum Depicting the Marvelous History of Mother Earth
Python remote sensing and space science tools
Data processing, analysis and estimation utilities for a GNSS receiver array
Anomaly Detection in James Webb Space Telescope (JWST) Data using Machine Learning, focusing on identifying maliciously manipulated or falsified data to ensure reliable analysis.
MATLAB, Python, and C++ versions of Scripts from Orbital Mechanics for Engineering Students by Howard D. Curtis; Includes Additional Orbital Mechanics Scripts and Visualizations
Autonomous Space Traffic Risk Analyzer
GIC Forecasting & Analysis — A data-driven framework for modeling Geomagnetically Induced Currents using solar wind data, SuperMAG observations, and advanced ML techniques. Integrates domain physics, feature engineering, and imputation strategies to tackle real-world space weather challenges.
Juno spacecraft plotting tool for Waves, MAG, JADE/JEDI, and Trajectories
Not the most comprehensive guide for FINESST proposals—links, tips, guide, and examples.
Seasonal Analysis routines for pysat
An AI chatbot designed for astronomy and space enthusiast using Rasa
Study solar flares and other phenomena using data from ISRO's Aditya-L1 space observatory
Hybrid CNN-Transformer model for automated exoplanet transit detection on NASA Kepler light curves. Features dual scale CNN branches, Transformer based sequence modelling, Grad CAM + SHAP + attention explainability, and Monte Carlo Dropout uncertainty quantification. 5 fold cross validated with baseline comparisons.
Solar flare prediction RHESSI Mission
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