A simple implementation of the Volland-Stern electric field model.

Jupyter notebook client in Emacs

Crawlee—A web scraping and browser automation library for Python to build reliable crawlers. Extract data for AI, LLMs, RAG, or GPTs. Download HTML, PDF, JPG, PNG, and other files from websites. Wo…

An Astropy affiliated package providing access to remote data and services of the Virtual Observatory (VO) using Python.

The API for Helioviewer Project Services

My Unix config files and shell scripts, optimized for Fedora, Debian, macOS and Windows (in that order).

Transform JSON objects using vector embeddings

Training materials on AI/ML in Heliophysics

HTTP load generator, ApacheBench (ab) replacement

A Python package to process and analyze data from the HERMES EEA instrument.

A Library for Uncertainty Quantification.

Solar coronal magnetohydrostatic solver in MATLAB using radial basis function finite differences for a meshless implementation

Functions and classes to access online data resources. Maintainers: @keflavich and @bsipocz and @ceb8

A Package for Radiation Belt Science. Calculation of Adiabatic Invariants from SWMF, LFM, T96, and TS05 magnetic field models.

Make JSON greppable!

PyTorch implementation of variational entropy-constrained vector quantization.

radbelt: An Astropy-friendly wrapper for the AE-8/AP-8 Van Allen belt model

A contextmanager to track progress of joblib execution

The NASA Web Design System helps NASA build fast, accessible, mobile-friendly websites.

Minimal working code to compress NASA SDO images

This code accompanies the paper "Ensemble Forecasts of Solar Wind Connectivity to 1 Rs using ADAPT-WSA", to be published in the AGU Journal Space Weather in 2023

Quake III Arena GPL Source Release

ONNX Script enables developers to naturally author ONNX functions and models using a subset of Python.

Entropy coding / arithmetic coding for PyTorch

Space Weather Simulation Summer School 2023

This is the code for "Neural Network Reconstruction of Plasma Space-Time" by C.Bard and J.Dorelli (DOI: 10.3389/fspas.2021.732275). It is a Physics-Informed Transformer Neural Network which was use…

A differentiable PDE solving framework for machine learning

Python Dynamic Mode Decomposition

mathLab mirror of Python Dynamic Mode Decomposition