olivares-j Goto Github PK

amasijo

This python code generates synthetic observables (astrometry+photometry) of open clusters

arviz

Exploratory analysis of Bayesian models with Python

aspidistra3d

The code in this repo intends to fit the 3D spatial distribution of open clusters

astroplan

Observation planning package for astronomers

base

Bayesian Analysis for Stellar Evolution

biosc

Bayesian Inference of open cluster ages from photometry, parallaxes and Lithium measurements.

chainconsumer

Corner plots, LaTeX tables and plotting walks.

corner.py

Make some beautiful corner plots.

cosmohammer

Cosmological parameter estimation with the MCMC Hammer

dustmaps

A uniform interface for a number of 2D and 3D maps of interstellar dust reddening/extinction.

emcee

The Python ensemble sampling toolkit for affine-invariant MCMC

extreme-deconvolution

Density estimation using Gaussian mixtures in the presence of noisy, heterogeneous and incomplete data

h5py

HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.

isochrones

Pythonic stellar model grid access; easy MCMC fitting of stellar properties

kalkayotl

This repository contains a code to infer distances to stellar clusters and its stars from Gaia parallaxes.

mecayotl

Stellar group's membership determination based on Kalkayotl.

nersc_cuda_tutorial

repo for hands on exercises provided during the CUDA tutorial at NERSC's GPUs for Science event

paleocausality

Granger causality in paleolithic time series

pyaspidistra

Infer parameters of projected spatial density profiles and select best model using MultiNest

pyhmc

Hamiltonain Monte Carlo in Python

pymc

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano

report

sakam

Transform magnitudes to mass using isochrones

spadist

speclite

Lightweight utilities for working with spectroscopic data

tests

Miscellaneous tests