Alternatives and similar repositories for selective-inference:

Users that are interested in selective-inference are comparing it to the libraries listed below

• selective-inference / Python-software
  Python software for selective inference
  ☆52Updated last year
• ryantibs / genlasso
  Path algorithm for generalized lasso problems
  ☆32Updated 2 years ago
• regreg / regreg
  A multi-algorithm Python framework for regularized regression
  ☆13Updated last year
• ebonilla / AutoGP
  Code for AutoGP
  ☆26Updated 5 years ago
• EugeneNdiaye / GAPSAFE_SGL
  GAP Safe Screening Rules for Sparse-Group Lasso.
  ☆15Updated 6 years ago
• dtak / hs-bnn-public
  ☆12Updated 7 years ago
• jameshensman / GPclust
  Clustering time series using Gaussian processes and Variational Bayes.
  ☆39Updated 4 years ago
• SheffieldML / GPclust
  Collapsed Variational Bayes
  ☆70Updated 5 years ago
• udellgroup / pyglrm
  The Python wrapper for LowRankModels.jl.
  ☆15Updated 5 years ago
• slinderman / pypolyagamma
  Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.
  ☆82Updated 4 years ago
• Mamba413 / Ball
  Statistical Inference and Sure Independence Screening via Ball Statistics
  ☆30Updated 4 months ago
• hstrey / Hidden-Markov-Models-pymc3
  Implementation of Hidden Markov Models in pymc3
  ☆60Updated 8 years ago
• compops / pmh-tutorial
  Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"
  ☆28Updated 5 years ago
• avehtari / PSIS
  Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave
  ☆76Updated last year
• yaglm / yaglm
  A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-conve…
  ☆56Updated 2 years ago
• judyboon / BASS
  A Bayesian group factor model with structured sparsity
  ☆20Updated 9 years ago
• amspector100 / knockpy
  Knockoffs for controlled variable selection
  ☆34Updated last year
• pmorenoz / HierCPD
  Hierarchical Change-Point Detection
  ☆14Updated 6 years ago
• Leo-Simpson / c-lasso
  c-lasso: a Python package for constrained sparse regression and classification
  ☆32Updated 3 years ago
• wfithian / optimal-inference
  repo for "Optimal Inference After Model Selection"
  ☆11Updated 7 years ago
• cbg-ethz / SGS
  Inference in Bayesian Networks with R
  ☆11Updated 2 years ago
• SheffieldML / vargplvm
  Bayesian GPLVM in MATLAB and R
  ☆74Updated 7 years ago
• cdrovandi / Bayesian-Synthetic-Likelihood
  Code for the Bayesian Synthetic Likelihood paper by Price et al 2018 in the Journal of Computational and Graphical Statistics (volume 27,…
  ☆13Updated 7 years ago
• davidhallac / NetworkLasso
  ☆22Updated 9 years ago
• blei-lab / variational-smc
  Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)
  ☆65Updated 5 years ago
• hichamjanati / mutar
  Multi-task regression in Python
  ☆25Updated 4 years ago
• tminka / fastfit
  Fastfit matlab toolbox
  ☆27Updated 8 years ago
• glmgen / glmgen
  Generalized lasso implementations
  ☆46Updated 5 months ago
• ryantibs / best-subset
  Comparisons between best subset selection and other popular sparse regression estimators
  ☆85Updated last year
• karlnapf / ds3_kernel_testing
  Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"
  ☆26Updated 6 years ago