A comprehensive list of published machine learning applications to cosmology
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Updated
Apr 27, 2023
A comprehensive list of published machine learning applications to cosmology
Code for Anisotropies in the Microwave Background
Multi-purpose lens modeling software package
⚡️⚡️⚡️Blazing fast correlation functions on the CPU.
PyAutoLens: Open Source Strong Gravitational Lensing
A spherical convolutional neural network for cosmology (TFv1).
HEP/Astroparticle/Astrophysics/Cosmology open source packages. Community effort. Physics people, unite!
SkyPy: A package for modelling the Universe.
Analysis kit for large-scale structure datasets, the massively parallel way
Modern astrophysics and cosmology particle-based code. Mirror of gitlab developments at https://gitlab.cosma.dur.ac.uk/swift/swiftsim
pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation
Public version of PolyChord: See polychord.co.uk for PolyChordPro
Large suite of N-body simulations
A small but powerful nbody gravity simulator with a built-in renderer
MCMC parameter sampling code
Python library for supernova cosmology
Differentiable Cosmological Forward Model
Machine Learning - accelerated Bayesian inference
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