Alternatives and similar repositories for glmnet_python

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

• civisanalytics / python-glmnet
  A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.
  ☆269Updated last year
• glm-tools / pyglmnet
  Python implementation of elastic-net regularized generalized linear models
  ☆287Updated 2 years ago
• junpenglao / GLMM-in-Python
  Generalized linear mixed-effect model in Python
  ☆183Updated 7 years ago
• madrury / py-glm
  Generalized Linear Models in Sklearn Style
  ☆131Updated 5 years ago
• skggm / skggm
  Scikit-learn compatible estimation of general graphical models
  ☆249Updated 7 months ago
• meeliskull / prg
  Software to create Precision-Recall-Gain curves and calculate area under the curve
  ☆42Updated 3 years ago
• selective-inference / Python-software
  Python software for selective inference
  ☆53Updated 2 years ago
• manifoldai / merf
  Mixed Effects Random Forest
  ☆238Updated last year
• jonsedar / pymc3_vs_pystan
  Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…
  ☆127Updated 9 years ago
• twiecki / WhileMyMCMCGentlySamples
  my blog
  ☆269Updated 3 years ago
• hammerlab / survivalstan
  Library of Stan Models for Survival Analysis
  ☆124Updated 5 years ago
• JingyuHe / XBART
  ☆93Updated last year
• ryantibs / best-subset
  Comparisons between best subset selection and other popular sparse regression estimators
  ☆89Updated 2 years ago
• BayesianTestsML / tutorial
  Tutorial on Bayesian tests for Machine Learning
  ☆78Updated 5 years ago
• ericmjl / bayesian-deep-learning-demystified
  In which I try to demystify the fundamental concepts behind Bayesian deep learning.
  ☆122Updated 8 years ago
• dswah / pyGAM
  [CONTRIBUTORS WELCOME] Generalized Additive Models in Python
  ☆943Updated 3 weeks ago
• Yu-Group / iterative-Random-Forest
  Python implementation of iterative-random-forests
  ☆68Updated 2 years ago
• avehtari / PSIS
  Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave
  ☆79Updated last year
• scikit-learn-contrib / stability-selection
  scikit-learn compatible implementation of stability selection.
  ☆214Updated 2 years ago
• abidlabs / contrastive
  Contrastive PCA
  ☆231Updated 3 months ago
• yngvem / group-lasso
  Group Lasso implementation following the scikit-learn API
  ☆107Updated last year
• kshedden / Statsmodels-MixedLM
  Teaching materials for Python MixedLM (mixed linear models)
  ☆48Updated 8 years ago
• AmazaspShumik / sklearn-bayes
  Python package for Bayesian Machine Learning with scikit-learn API
  ☆522Updated 4 years ago
• AppliedDataSciencePartners / xgboostExplainer
  An R package that makes xgboost models fully interpretable
  ☆258Updated 7 years ago
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆232Updated 4 years ago
• numeristical / introspective
  Repo for the ML_Insights python package
  ☆153Updated 9 months ago
• strawlab / best
  Bayesian estimation supersedes the t test
  ☆145Updated 3 years ago
• judyboon / BASS
  A Bayesian group factor model with structured sparsity
  ☆22Updated 10 years ago
• neurodata / SPORF
  This is the implementation of Sparse Projection Oblique Randomer Forest
  ☆102Updated last year
• fonnesbeck / stan_workshop_2016
  Bayesian Modeling using Stan in R (May/June 2016)
  ☆54Updated 9 years ago