Alternatives and similar repositories for merf:

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

• junpenglao / GLMM-in-Python
  Generalized linear mixed-effect model in Python
  ☆174Updated 6 years ago
• civisanalytics / python-glmnet
  A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.
  ☆264Updated 6 months ago
• scikit-learn-contrib / forest-confidence-interval
  Confidence intervals for scikit-learn forest algorithms
  ☆286Updated 7 months ago
• scikit-learn-contrib / stability-selection
  scikit-learn compatible implementation of stability selection.
  ☆212Updated last year
• hammerlab / survivalstan
  Library of Stan Models for Survival Analysis
  ☆124Updated 4 years ago
• JingyuHe / XBART
  ☆90Updated 2 months ago
• 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
• luke14free / pm-prophet
  GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3
  ☆327Updated 4 years ago
• numeristical / introspective
  Repo for the ML_Insights python package
  ☆149Updated last year
• fabsig / GPBoost
  Combining tree-boosting with Gaussian process and mixed effects models
  ☆587Updated this week
• MBrouns / timeseers
  Time should be taken seer-iously
  ☆314Updated last year
• bbalasub1 / glmnet_python
  ☆201Updated last year
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆226Updated 4 years ago
• eltonlaw / impyute
  Data imputations library to preprocess datasets with missing data
  ☆359Updated 3 years ago
• junpenglao / advance-bayesian-modelling-with-PyMC3
  ☆237Updated 6 years ago
• ja-thomas / autoxgboost
  autoxgboost - Automatic tuning and fitting of xgboost
  ☆122Updated 3 years ago
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆142Updated last year
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆245Updated last year
• Oracen-zz / MIDAS
  Multiple imputation utilising denoising autoencoder for approximate Bayesian inference
  ☆121Updated 4 years ago
• sinhrks / stan-statespace
  Stan models for state space time series
  ☆143Updated 7 years ago
• AppliedDataSciencePartners / xgboostExplainer
  An R package that makes xgboost models fully interpretable
  ☆254Updated 6 years ago
• jamalsenouci / causalimpact
  Python port of CausalImpact R library
  ☆280Updated 10 months ago
• ericmjl / bayesian-analysis-recipes
  A collection of Bayesian data analysis recipes using PyMC3
  ☆555Updated last year
• EthanRosenthal / skits
  scikit-learn-inspired time series
  ☆199Updated 11 months ago
• civisanalytics / civisml-extensions
  scikit-learn-compatible estimators from Civis Analytics
  ☆59Updated 3 years ago
• gm-spacagna / deep-ttf
  Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras
  ☆237Updated 6 years ago
• JakeColtman / bartpy
  Bayesian Additive Regression Trees For Python
  ☆221Updated last year
• blent-ai / ALEPython
  Python Accumulated Local Effects package
  ☆163Updated last year
• meeliskull / prg
  Software to create Precision-Recall-Gain curves and calculate area under the curve
  ☆40Updated 2 years ago
• suinleelab / treeexplainer-study
  Code and documentation for experiments in the TreeExplainer paper
  ☆183Updated 5 years ago