pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation
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Updated
Oct 30, 2024 - Python
pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation
Zeus21: Lightning-fast simulations of cosmic dawn
Code for leveraging Information Maximising Neural Networks for optimal cosmological field compression and Bayesian inference for cosmological parameters
This repository is meant to add the holographic dark energy model of Granda and Oliveros to the software CLASS.
EmuPBk is ANN-based statistical signal emulator of Epoch of Reionization.
Tractable Machine Learning in Cosmological Structure Formation.
Simple BAO fitter
Cosmology from HI maps using CNNs in PyTorch
Estimation of the Hubble constant using Gaussian process regression and viable alternatives
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