exoplanet
github.com/exoplanet-dev/exoplanetFast and scalable MCMC toolkit for exoplanet characterization built on PyMC and Aesara/JAX, providing differentiable probabilistic models for transit light curves, radial velocities, and astrometry — enabling gradient-based inference (NUTS) and Hamiltonian Monte Carlo for robust parameter estimation, model comparison, and uncertainty quantification in time-domain astronomy (exoplanet-dev, JOSS 2021, 242+ stars, MIT License, actively maintained)
Sourced from
- Awesome AI for Science — github.com/exoplanet-dev/exoplanet
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