Alternatives and similar repositories for python-glmnet:

Users that are interested in python-glmnet are comparing it to the libraries listed below

• bbalasub1 / glmnet_python
  ☆203Updated last year
• glm-tools / pyglmnet
  Python implementation of elastic-net regularized generalized linear models
  ☆280Updated 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…
  ☆128Updated 8 years ago
• scikit-learn-contrib / forest-confidence-interval
  Confidence intervals for scikit-learn forest algorithms
  ☆285Updated 7 months ago
• junpenglao / GLMM-in-Python
  Generalized linear mixed-effect model in Python
  ☆175Updated 6 years ago
• madrury / py-glm
  Generalized Linear Models in Sklearn Style
  ☆128Updated 4 years ago
• skggm / skggm
  Scikit-learn compatible estimation of general graphical models
  ☆247Updated 11 months ago
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆226Updated 4 years ago
• parsing-science / pymc3_models
  ☆158Updated 2 years ago
• EpistasisLab / scikit-mdr
  A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
  ☆125Updated last year
• hammerlab / survivalstan
  Library of Stan Models for Survival Analysis
  ☆124Updated 4 years ago
• manifoldai / merf
  Mixed Effects Random Forest
  ☆224Updated 8 months ago
• cgevans / scikits-bootstrap
  Python/numpy bootstrap confidence interval estimation.
  ☆176Updated last year
• selective-inference / Python-software
  Python software for selective inference
  ☆52Updated last year
• mpearmain / BayesBoost
  Bayesian Optimization using xgboost and sklearn API
  ☆226Updated 8 years ago
• scikit-learn-contrib / stability-selection
  scikit-learn compatible implementation of stability selection.
  ☆212Updated last year
• powerscorinne / GLRM
  ☆98Updated 7 years ago
• JingyuHe / XBART
  ☆90Updated 2 months ago
• stitchfix / diamond
  Python solver for mixed-effects models
  ☆98Updated 7 years ago
• luke14free / pm-prophet
  GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3
  ☆327Updated 4 years ago
• lmc2179 / bayesian_bootstrap
  bayesian bootstrapping in python
  ☆121Updated 2 years ago
• twiecki / WhileMyMCMCGentlySamples
  my blog
  ☆267Updated 2 years ago
• rhiever / sklearn-benchmarks
  A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.
  ☆211Updated 7 years ago
• strawlab / best
  Bayesian estimation supersedes the t test
  ☆145Updated 3 years ago
• numeristical / introspective
  Repo for the ML_Insights python package
  ☆150Updated last year
• dswah / pyGAM
  [HELP REQUESTED] Generalized Additive Models in Python
  ☆886Updated 8 months ago
• ogrisel / pygbm
  Experimental Gradient Boosting Machines in Python with numba.
  ☆183Updated 6 years ago
• AppliedDataSciencePartners / xgboostExplainer
  An R package that makes xgboost models fully interpretable
  ☆254Updated 6 years ago
• pydata / patsy
  Describing statistical models in Python using symbolic formulas
  ☆964Updated this week
• amueller / patsylearn
  Patsy Adaptors for Scikit-learn
  ☆48Updated 5 years ago