Alternatives and similar repositories for linear-regressions-mixture:

Users that are interested in linear-regressions-mixture are comparing it to the libraries listed below

• slinderman / pypolyagamma
  Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.
  ☆82Updated 4 years ago
• ryantibs / genlasso
  Path algorithm for generalized lasso problems
  ☆32Updated 2 years ago
• ivaleraM / GLFM
  General Latent Feature Modeling for Heterogeneous data
  ☆48Updated 10 months ago
• SheffieldML / GPclust
  Collapsed Variational Bayes
  ☆68Updated 5 years ago
• blei-lab / variational-smc
  Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)
  ☆64Updated 5 years ago
• oxcsml / kerpy
  python code for kernel methods
  ☆38Updated 6 years ago
• msesia / deepknockoffs
  Approximate knockoffs and model-free variable selection.
  ☆52Updated 3 years ago
• avehtari / PSIS
  Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave
  ☆76Updated 11 months ago
• HIPS / pgmult
  Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation
  ☆61Updated 4 years ago
• gabriuma / basis_functions_approach_to_GP
  ☆54Updated 2 years ago
• eth-cscs / abcpy
  ABCpy package
  ☆113Updated 9 months ago
• pierrejacob / unbiasedmcmc
  Unbiased Markov chain Monte Carlo with couplings
  ☆29Updated 2 years ago
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆71Updated 6 months ago
• ryantibs / best-subset
  Comparisons between best subset selection and other popular sparse regression estimators
  ☆86Updated last year
• wesselb / gpar
  Implementation of the Gaussian Process Autoregressive Regression Model
  ☆62Updated last month
• earcher / vilds
  Black box variational inference for state space models
  ☆1Updated 8 years ago
• rcmorehead / simpleabc
  A Python package for Approximate Bayesian Computation
  ☆36Updated 8 years ago
• rgiordan / CovariancesRobustnessVBPaper
  ☆11Updated last year
• davidandrzej / PyIBP
  NumPy implementation of infinite latent feature model (aka Indian Buffet Process or IBP)
  ☆49Updated 6 years ago
• oxcsml / ML_bazaar
  OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.
  ☆93Updated 3 years ago
• judyboon / BASS
  A Bayesian group factor model with structured sparsity
  ☆20Updated 9 years ago
• kasparmartens / NeuralProcesses
  Neural Processes implementation for 1D regression
  ☆65Updated 6 years ago
• selective-inference / Python-software
  Python software for selective inference
  ☆51Updated last year
• jonathan-taylor / selective-inference
  Software for selective inference
  ☆17Updated last year
• dtak / hs-bnn-public
  ☆12Updated 7 years ago
• rajatsen91 / CCIT
  Classifier Conditional Independence Test: A CI test that uses a binary classifier (XGBoost) for CI testing
  ☆46Updated last year
• howardnewyork / rebar
  Model Discrete Parameters In Stan
  ☆11Updated 7 years ago
• jhuggins / viabel
  Efficient, lightweight variational inference and approximation bounds
  ☆43Updated last year
• jameshensman / GPclust
  Clustering time series using Gaussian processes and Variational Bayes.
  ☆39Updated 4 years ago
• jwmi / BayesianMixtures.jl
  Julia package for Bayesian mixture models
  ☆27Updated 4 years ago