Alternatives and similar repositories for pygmmis

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

• sanjibs / bmcmc
  MCMC package for Bayesian data analysis
  ☆59Updated 8 years ago
• guangtunbenzhu / NonnegMFPy
  Vectorized Nonnegative Matrix Factorization with heteroscedastic uncertainties and missing data
  ☆32Updated last year
• minaskar / zeus
  ⚡️ zeus: Lightning Fast MCMC ⚡️
  ☆239Updated last year
• kbarbary / nestle
  Pure Python, MIT-licensed implementation of nested sampling algorithms for evaluating Bayesian evidence.
  ☆75Updated 2 years ago
• dfm / celerite
  Scalable 1D Gaussian Processes in C++, Python, and Julia
  ☆186Updated this week
• sbailey / empca
  Principal Component Analysis (PCA) for Missing and/or Noisy Data
  ☆81Updated 8 years ago
• dflemin3 / approxposterior
  A Python package for approximate Bayesian inference and optimization using Gaussian processes
  ☆42Updated last year
• hippke / wotan
  Automagically remove trends from time-series data
  ☆158Updated 3 years ago
• brandonckelly / carma_pack
  MCMC Sampler for Performing Bayesian Inference on Continuous Time Autoregressive Models.
  ☆41Updated 10 months ago
• jakevdp / wpca
  Weighted Principal Component Analysis (PCA) in Python
  ☆156Updated 7 years ago
• bnaul / IrregularTimeSeriesAutoencoderPaper
  ☆65Updated last year
• jakeret / abcpmc
  Approximate Bayesian Computation Population Monte Carlo
  ☆41Updated 5 years ago
• davidwhogg / mcmc
  Some notes about MCMC
  ☆44Updated 7 years ago
• mfouesneau / NUTS
  python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011
  ☆132Updated 4 years ago
• dfm / george
  Fast and flexible Gaussian Process regression in Python
  ☆459Updated this week
• lzkelley / kalepy
  Kernel Density Estimation and (re)sampling
  ☆62Updated 2 years ago
• phuijse / P4J
  Periodic time series analysis tools based on information theory
  ☆55Updated last year
• jakevdp / PracticalLombScargle
  Source for my paper, Understanding the Lomb-Scargle Periodogram
  ☆85Updated 3 years ago
• justinalsing / pydelfi
  Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations
  ☆110Updated last year
• PrincetonUniversity / FastTemplatePeriodogram
  NlogN algorithm for least-squares fitting of periodic templates to noisy, non-equispaced time-series data.
  ☆52Updated 4 years ago
• ireis / PRF
  Probabilistic Random Forest: A machine learning algorithm for noisy datasets
  ☆130Updated last year
• joshspeagle / dynesty
  Dynamic Nested Sampling package for computing Bayesian posteriors and evidences
  ☆385Updated 3 weeks ago
• pcubillos / mc3
  Python MCMC Sampler
  ☆33Updated 6 months ago
• Gabriel-p / pythonMCMC
  A list of Python-based MCMC & ABC packages
  ☆123Updated 2 months ago
• annayqho / TheCannon
  a data-driven method for determining stellar parameters and abundances from stellar spectra
  ☆42Updated 7 years ago
• jobovy / extreme-deconvolution
  Density estimation using Gaussian mixtures in the presence of noisy, heterogeneous and incomplete data
  ☆80Updated 2 weeks ago
• ejhigson / dyPolyChord
  Super fast dynamic nested sampling with PolyChord (Python, C++ and Fortran likelihoods).
  ☆22Updated 5 years ago
• eggplantbren / DNest4
  Diffusive Nested Sampling
  ☆70Updated this week
• rhayes777 / PyAutoFit
  PyAutoFit: Classy Probabilistic Programming
  ☆63Updated last week
• quatrope / feets
  feATURE eXTRACTOR FOR tIME sERIES
  ☆53Updated this week