28 skills found
minaskar / PocomcpocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation
cosmodesi / DesilikeModern cosmological inference framework used by the Dark Energy Spectroscopic Instrument (DESI) experiment.
JulianBMunoz / Zeus21Zeus21: Lightning-fast simulations of cosmic dawn
cosmo-sims / DISCO DJDISCO-DJ: DIfferentiable Simulations for COsmology - Done with Jax
CosmoStatGW / MGCosmoPopModified Gravity and Cosmology with Binary Black Holes' Population models : hierarchical bayesian inference package for constraining the Hubble constant, modified GW propagation and BBH population models with GWs.
NiallJeffrey / DeepMassCosmological map inference with deep learning
hsimonfroy / Benchmark Field LevelBenchmarking field-level cosmological inference from galaxy surveys.
ippocratiss / EMRI MCEMRI_MC is a GPU-based Python code for Bayesian inference of EMRI gravitational waveforms, including cosmological propagation effects. Online publication is here: https://arxiv.org/abs/2311.17174
williamgiare / WgcosmoA set of tools, codes, and methodologies for cosmology
sibirrer / HierArcHierarchical inference of cosmological parameters from a set of strong lensing systems
EiffL / LesHouches2025Simulation-Based Inference for Cosmology Lecture Notes
FedericoStachurski / CosmoFlowCosmological parameter inference using normalizing flows and GW events
tlmakinen / Kosmo KompressCode for leveraging Information Maximising Neural Networks for optimal cosmological field compression and Bayesian inference for cosmological parameters
florpi / SunbirdCOsmOlogical inference with dEnsity Split cluStering
AizhanaAkhmet / Data Compression Inference In Cosmology With SSLCosmological Data Compression and Inference with Self-Supervised Machine Learning
PabloVD / SupernovaMCMCMCMC with Supernovae data to perform cosmological parameter inference.
LSSTDESC / Bayesian Pipelines PixelsBayesian cosmological inference directly from pixels.
dkirkby / GphistCosmological expansion history inference using Gaussian processes
hsimonfroy / MontecosmoDifferentiable pipeline for field-level cosmological inference from galaxy surveys.
sohinixcvii / Markov Chain Monte CarloAn implementation of the popular Markov Chain Monte Carlo (MCMC) framework for parameter inference purposes, demonstrated using a cosmological problem.