astro-informatics/harmonic
Machine learning assisted marginal likelihood (Bayesian evidence) estimation for Bayesian model selection
PythonGPL-3.0
Stargazers
- alicjapolanskaUCL
- alulujasmine
- artix41University College of London (UCL)
- awe2
- bkmiUniversity of Amsterdam
- bonevbs@NVIDIA
- ChangITP
- ChenHongruixuanThe University of Tokyo
- CosmoMattUniversity College London
- denisfitz57
- dpirasUniversity of Geneva
- haiiliinTongji University
- ipashchenkoLPI ASC
- iphysresearchICTP-AP
- ismael-mendozaUniversity of Michigan
- jasonmcewen
- jiadongleeMPIA
- kayejlli
- kazewong
- KiyamUCL
- lix2k3
- mariomorvan
- mdocherty-obs
- minaskar
- mj-willUniversity of Portsmouth
- mmdochertyOldbaum Services Ltd
- nschlemmcoder nostra GmbH
- pierrePaludCNRS
- pscicluna
- soma2000-lang@unifyai
- Steve-HawkUMN
- tbmiller-astro
- tekkamanmaverick
- ThibeauWoutersUtrecht University
- tobias-liaudatCEA Saclay
- WuShichaoMax Planck Institute for Gravitational Physics