Alternatives and similar repositories for pyGAM

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

• scikit-learn-contrib / project-template
  A template for scikit-learn extensions
  ☆334Updated 6 months ago
• SauceCat / PDPbox
  python partial dependence plot toolbox
  ☆860Updated 10 months ago
• pymc-devs / pymc4
  (Deprecated) Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.
  ☆712Updated 3 years ago
• bambinos / bambi
  BAyesian Model-Building Interface (Bambi) in Python.
  ☆1,184Updated 2 weeks ago
• parrt / random-forest-importances
  Code to compute permutation and drop-column importances in Python scikit-learn models
  ☆619Updated 4 months ago
• scikit-learn-contrib / py-earth
  A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines
  ☆462Updated last year
• andosa / treeinterpreter
  ☆759Updated 2 years ago
• iskandr / fancyimpute
  Multivariate imputation and matrix completion algorithms implemented in Python
  ☆1,275Updated last year
• scikit-learn-contrib / boruta_py
  Python implementations of the Boruta all-relevant feature selection method.
  ☆1,580Updated 11 months ago
• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆643Updated last year
• christophM / rulefit
  Python implementation of the rulefit algorithm
  ☆423Updated last year
• luke14free / pm-prophet
  GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3
  ☆327Updated 4 years ago
• maximtrp / scikit-posthocs
  Multiple Pairwise Comparisons (Post Hoc) Tests in Python
  ☆370Updated 3 months ago
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆857Updated last year
• wwrechard / pydlm
  A python library for Bayesian time series modeling
  ☆485Updated 10 months ago
• GAA-UAM / scikit-fda
  Functional Data Analysis Python package
  ☆330Updated 3 weeks ago
• scikit-learn-contrib / forest-confidence-interval
  Confidence intervals for scikit-learn forest algorithms
  ☆288Updated 3 months ago
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,638Updated 3 months ago
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆230Updated 4 years ago
• manifoldai / merf
  Mixed Effects Random Forest
  ☆232Updated last year
• EpistasisLab / scikit-rebate
  A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
  ☆418Updated 2 years ago
• stanfordmlgroup / ngboost
  Natural Gradient Boosting for Probabilistic Prediction
  ☆1,762Updated 2 weeks ago
• akelleh / causality
  Tools for causal analysis
  ☆1,077Updated 4 months ago
• scikit-learn-contrib / scikit-learn-contrib
  scikit-learn compatible projects
  ☆411Updated 3 months ago
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,783Updated last year
• arvkevi / kneed
  Knee point detection in Python
  ☆783Updated 5 months ago
• ericmjl / bayesian-analysis-recipes
  A collection of Bayesian data analysis recipes using PyMC3
  ☆562Updated last year
• dmbee / seglearn
  Python module for machine learning time series:
  ☆577Updated 2 years ago
• MaxHalford / prince
  Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA
  ☆1,379Updated last month
• fabsig / GPBoost
  Combining tree-boosting with Gaussian process and mixed effects models
  ☆623Updated last week