| jakevdp/BayesianAstronomy |
66 |
|
0 |
0 |
over 9 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| Bayesian Methods in Astronomy workshop, presented at AAS227 |
| JohannesBuchner/nway |
52 |
|
0 |
0 |
over 2 years ago |
0 |
|
8 |
other |
Python |
| nway -- Bayesian cross-matching of astronomical catalogues |
| BEAST-Fitting/beast |
21 |
|
0 |
0 |
over 2 years ago |
0 |
|
144 |
|
Python |
| Bayesian Extinction And Stellar Tool |
| gwastro/gwin |
11 |
|
0 |
0 |
over 7 years ago |
0 |
|
20 |
gpl-3.0 |
Python |
| A python package for Bayesian inference of gravitational-wave data |
| autocorr/nestfit |
9 |
|
0 |
0 |
about 4 years ago |
0 |
|
3 |
mit |
Python |
| Bayesian spectral decomposition and model fitting using Nested Sampling |
| vosjo/speedyfit |
7 |
|
0 |
0 |
about 3 years ago |
13 |
October 23, 2022 |
1 |
gpl-3.0 |
R |
| Python package to fit single and binary photometric SEDs. Automatically pull archive photometry from the main surveys and use Bayesian inference to derive atmospheric parameters. |
| BayesFlare/bayesflare |
6 |
|
0 |
0 |
about 7 years ago |
4 |
July 18, 2017 |
5 |
gpl-2.0 |
Python |
| A python module to detect stellar flares using Bayesian model comparison |
| RuthAngus/stardate |
6 |
|
0 |
0 |
over 6 years ago |
0 |
|
1 |
mit |
Jupyter Notebook |
| Combining dating methods for better stellar ages |
