Active Learning Accelerated Bayesian Inference (ALABI) — An open-source Python package for performing Bayesian inference with computationally expensive forward models using Gaussian processes and active learning.
Python Bayesian Inference Gaussian Processes MCMC Active Learning
Physically motivated Gaussian Process kernels for modeling stellar starspot variability, implemented in
JAX.
Python JAX Gaussian Processes Stellar Variability
Python tools for doing statistical inference and model sensitivity analysis with VPLanet, a framework for simulating planetary system evolution.
Python VPLanet Planetary Evolution Bayesian Inference
Modeling tools for SDSS/APOGEE spectra. Provides utilities for downloading, processing, and fitting stellar spectra from the Apache Point Observatory Galactic Evolution Experiment (APOGEE).
Python APOGEE Spectroscopy Stellar Models
A self-hostable presentation editor for building interactive slideshows with reveal.js.
JavaScript reveal.js WYSIWYG Editor Presentations
A graphical interface for creating and editing LaTeX TikZ diagrams. Try it out here! https://jessicabirky.com/tikz_editor/
HTML LaTeX TikZ