Alternatives and similar repositories for pygmmis:

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

• guangtunbenzhu / NonnegMFPy
  Vectorized Nonnegative Matrix Factorization with heteroscedastic uncertainties and missing data
  ☆31Updated last year
• sanjibs / bmcmc
  MCMC package for Bayesian data analysis
  ☆58Updated 7 years ago
• lzkelley / kalepy
  Kernel Density Estimation and (re)sampling
  ☆58Updated last year
• kbarbary / nestle
  Pure Python, MIT-licensed implementation of nested sampling algorithms for evaluating Bayesian evidence.
  ☆75Updated last year
• justinalsing / pydelfi
  Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations
  ☆107Updated last year
• phuijse / P4J
  Periodic time series analysis tools based on information theory
  ☆55Updated 7 months ago
• brandonckelly / carma_pack
  MCMC Sampler for Performing Bayesian Inference on Continuous Time Autoregressive Models.
  ☆38Updated 3 months ago
• dflemin3 / approxposterior
  A Python package for approximate Bayesian inference and optimization using Gaussian processes
  ☆42Updated last year
• mfouesneau / NUTS
  python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011
  ☆128Updated 4 years ago
• davidwhogg / mcmc
  Some notes about MCMC
  ☆44Updated 6 years ago
• Gabriel-p / pythonMCMC
  A list of Python-based MCMC & ABC packages
  ☆123Updated 7 months ago
• EliseJ / astroABC
  Approximate Bayesian Computation Sequential Monte Carlo sampler for parameter estimation.
  ☆40Updated 4 years ago
• pcubillos / mc3
  Python MCMC Sampler
  ☆33Updated 6 months ago
• LeahPrice / SMC-NS
  Unbiased and Consistent Nested Sampling via Sequential Monte Carlo
  ☆14Updated 5 months ago
• eggplantbren / DNest4
  Diffusive Nested Sampling
  ☆63Updated 2 months ago
• bnaul / IrregularTimeSeriesAutoencoderPaper
  ☆65Updated 5 months ago
• RuthAngus / HBM_tutorial
  A tutorial on Hierarchical Bayesian Modelling
  ☆18Updated 4 years ago
• minaskar / zeus
  ⚡️ zeus: Lightning Fast MCMC ⚡️
  ☆228Updated 11 months ago
• sbailey / empca
  Principal Component Analysis (PCA) for Missing and/or Noisy Data
  ☆79Updated 8 years ago
• abmantz / lrgs
  Code to perform multivariate linear regression using Gibbs sampling
  ☆20Updated 2 years ago
• SihaoCheng / scattering_transform
  A webpage for the scattering transform. To calculate, you just need the folder called "scattering".
  ☆48Updated 3 months ago
• jakeret / abcpmc
  Approximate Bayesian Computation Population Monte Carlo
  ☆40Updated 4 years ago
• quatrope / feets
  feATURE eXTRACTOR FOR tIME sERIES
  ☆53Updated last month
• PrincetonUniversity / FastTemplatePeriodogram
  NlogN algorithm for least-squares fitting of periodic templates to noisy, non-equispaced time-series data.
  ☆50Updated 3 years ago
• LocalGroupAstrostatistics2015 / MCMC
  MCMC tutorial for the Local Group Astrostatistics workshop
  ☆14Updated 9 years ago
• tholoien / XDGMM
  A wrapper class for the scikit-learn BaseEstimator class that implements both the astroML and Bovy et al. (2011) XDGMM methods.
  ☆23Updated last year
• isadoranun / FATS
  ☆75Updated 11 months ago
• jobovy / extreme-deconvolution
  Density estimation using Gaussian mixtures in the presence of noisy, heterogeneous and incomplete data
  ☆80Updated 2 months ago
• bayesiains / density-deconvolution
  Code for the Density Deconvolution with Normalizing Flows paper.
  ☆12Updated 4 years ago
• davidwhogg / DataAnalysisRecipes
  chapters of a book Hogg will never write
  ☆90Updated 2 weeks ago