Alternatives and similar repositories for HBM_tutorial

Users that are interested in HBM_tutorial are comparing it to the libraries listed below

• brandonckelly / carma_pack
  MCMC Sampler for Performing Bayesian Inference on Continuous Time Autoregressive Models.
  ☆41Updated last year
• jakevdp / PracticalLombScargle
  Source for my paper, Understanding the Lomb-Scargle Periodogram
  ☆87Updated 4 years ago
• dflemin3 / approxposterior
  A Python package for approximate Bayesian inference and optimization using Gaussian processes
  ☆42Updated 2 years ago
• exoplanet-dev / pymc-ext
  PyMC Extras extracted from the "exoplanet" library
  ☆19Updated 2 weeks ago
• sanjibs / bmcmc
  MCMC package for Bayesian data analysis
  ☆59Updated 8 years ago
• lzkelley / kalepy
  Kernel Density Estimation and (re)sampling
  ☆63Updated 2 years ago
• adammoss / nnest
  Neural network nested and MCMC sampling
  ☆21Updated 4 years ago
• kbarbary / nestle
  Pure Python, MIT-licensed implementation of nested sampling algorithms for evaluating Bayesian evidence.
  ☆74Updated last month
• nanograv / PTMCMCSampler
  Parallel tempering MCMC sampler package written in Python
  ☆58Updated last month
• h3jia / bayesfast
  Next generation Bayesian analysis tools for efficient posterior sampling and evidence estimation.
  ☆27Updated 3 years ago
• EliseJ / astroABC
  Approximate Bayesian Computation Sequential Monte Carlo sampler for parameter estimation.
  ☆39Updated 5 years ago
• pcubillos / mc3
  Python MCMC Sampler
  ☆33Updated 9 months ago
• florent-leclercq / Bayes_InfoTheory
  Lectures on Bayesian statistics and information theory
  ☆31Updated 6 months ago
• rhayes777 / PyAutoFit
  PyAutoFit: Classy Probabilistic Programming
  ☆63Updated last week
• gtrichards / PHYS_T480_F18
  Repository for PHYS T480/580 (Big Data Physics: Methods of Machine Learning) at Drexel University, Fall 2018
  ☆10Updated 7 years ago
• rsnemmen / BCES
  Python module for performing linear regression for data with measurement errors and intrinsic scatter
  ☆61Updated last year
• rfeldmann / leopy
  Likelihood Estimation of Observational data with Python
  ☆18Updated 5 years ago
• dirac-institute / uw-astr598-w18
  ASTR 598: Astro-statistics and Machine Learning
  ☆39Updated 7 years ago
• AstroHackWeek / AstroHackWeek2019
  ☆20Updated 6 years ago
• hippke / wotan
  Automagically remove trends from time-series data
  ☆162Updated 4 years ago
• minaskar / pocomc
  pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation
  ☆113Updated 2 months ago
• tagordon / specgp
  Gaussian processes for multi-wavelength and spectral observations
  ☆12Updated 5 years ago
• VanderbiltAstronomy / astr_8070_s22
  ☆16Updated last year
• ywx649999311 / EzTao
  A Python Toolkit for AGN Time Series Analysis using CARMA models
  ☆23Updated 5 months ago
• ejhigson / dyPolyChord
  Super fast dynamic nested sampling with PolyChord (Python, C++ and Fortran likelihoods).
  ☆22Updated 5 years ago
• davidwhogg / mcmc
  Some notes about MCMC
  ☆44Updated 7 years ago
• 1313e / PRISM
  An alternative to MCMC for rapid analysis of models
  ☆46Updated 4 years ago
• dfm / emcee-jax
  An experiment: emcee implemented in JAX
  ☆26Updated 3 years ago
• davidwhogg / DataAnalysisRecipes
  chapters of a book Hogg will never write
  ☆94Updated 11 months ago
• pmelchior / scarlet
  hyperspectral galaxy modeling and deblending
  ☆56Updated last year