Alternatives and similar repositories for pmlb

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

• marcotcr / anchor
  Code for "High-Precision Model-Agnostic Explanations" paper
  ☆805Updated 3 years ago
• andosa / treeinterpreter
  ☆759Updated 2 years ago
• dswah / pyGAM
  [CONTRIBUTORS WELCOME] Generalized Additive Models in Python
  ☆911Updated this week
• openml / OpenML
  Open Machine Learning
  ☆702Updated 2 weeks ago
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆857Updated last year
• openml / openml-python
  OpenML's Python API for a World of Data and More 💫
  ☆302Updated this week
• jmschrei / apricot
  apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models qui…
  ☆512Updated 2 months ago
• scikit-learn-contrib / project-template
  A template for scikit-learn extensions
  ☆334Updated 6 months ago
• iskandr / fancyimpute
  Multivariate imputation and matrix completion algorithms implemented in Python
  ☆1,275Updated last year
• rsteca / sklearn-deap
  Use evolutionary algorithms instead of gridsearch in scikit-learn
  ☆773Updated last year
• zygmuntz / hyperband
  Tuning hyperparams fast with Hyperband
  ☆594Updated 6 years ago
• h2oai / mli-resources
  H2O.ai Machine Learning Interpretability Resources
  ☆489Updated 4 years ago
• AmazaspShumik / sklearn-bayes
  Python package for Bayesian Machine Learning with scikit-learn API
  ☆519Updated 3 years ago
• SauceCat / PDPbox
  python partial dependence plot toolbox
  ☆860Updated 11 months ago
• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆644Updated last year
• christophM / rulefit
  Python implementation of the rulefit algorithm
  ☆424Updated last year
• scikit-learn-contrib / scikit-learn-contrib
  scikit-learn compatible projects
  ☆411Updated 4 months ago
• 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
• scikit-learn-contrib / DESlib
  A Python library for dynamic classifier and ensemble selection
  ☆490Updated last year
• jphall663 / interpretable_machine_learning_with_python
  Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …
  ☆681Updated last year
• openml / automlbenchmark
  OpenML AutoML Benchmarking Framework
  ☆432Updated this week
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,643Updated 3 months ago
• csinva / imodels
  Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
  ☆1,486Updated last month
• akelleh / causality
  Tools for causal analysis
  ☆1,077Updated 4 months ago
• adebayoj / fairml
  ☆365Updated 4 years ago
• parrt / random-forest-importances
  Code to compute permutation and drop-column importances in Python scikit-learn models
  ☆619Updated 4 months ago
• TeamHG-Memex / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆2,772Updated 3 months ago
• maximtrp / scikit-posthocs
  Multiple Pairwise Comparisons (Post Hoc) Tests in Python
  ☆371Updated last week
• scikit-learn-contrib / boruta_py
  Python implementations of the Boruta all-relevant feature selection method.
  ☆1,582Updated 11 months ago
• ModelOriented / DALEX
  moDel Agnostic Language for Exploration and eXplanation
  ☆1,433Updated last week