Alternatives and similar repositories for pymfe

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

• amore-labs / gama
  An automated machine learning tool aimed to facilitate AutoML research.
  ☆102Updated last year
• lpfgarcia / ECoL
  Extended Complexity Library in R
  ☆58Updated 5 years ago
• sherbold / autorank
  ☆86Updated 5 months ago
• scikit-learn-contrib / DESlib
  A Python library for dynamic classifier and ensemble selection
  ☆495Updated last year
• salimamoukou / acv00
  ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…
  ☆102Updated 3 years ago
• scikit-learn-contrib / scikit-learn-extra
  scikit-learn contrib estimators
  ☆198Updated 2 weeks ago
• christophM / rulefit
  Python implementation of the rulefit algorithm
  ☆432Updated 2 years ago
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆251Updated last year
• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆282Updated last week
• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆159Updated 3 years ago
• carla-recourse / CARLA
  CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
  ☆298Updated 2 years ago
• mmschlk / iXAI
  Fast and incremental explanations for online machine learning models. Works best with the river framework.
  ☆55Updated last year
• blent-ai / ALEPython
  Python Accumulated Local Effects package
  ☆169Updated 2 years ago
• rivolli / mfe
  Meta-Feature Extractor
  ☆30Updated 3 years ago
• tiagobotari / melime
  Meaningful Local Explanation for Machine Learning Models
  ☆42Updated 2 years ago
• LocalCascadeEnsemble / LCE
  Random Forest or XGBoost? It is Time to Explore LCE
  ☆70Updated 2 years ago
• openml / automlbenchmark
  OpenML AutoML Benchmarking Framework
  ☆445Updated this week
• feedzai / fairgbm
  Train Gradient Boosting models that are both high-performance *and* Fair!
  ☆106Updated this week
• machinelearningnuremberg / WellTunedSimpleNets
  [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
  ☆88Updated 2 years ago
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆211Updated 2 months ago
• cerlymarco / linear-tree
  A python library to build Model Trees with Linear Models at the leaves.
  ☆387Updated last year
• christopherjenness / DBCV
  Python implementation of Density-Based Clustering Validation
  ☆178Updated 2 years ago
• feedzai / timeshap
  TimeSHAP explains Recurrent Neural Network predictions.
  ☆193Updated 2 years ago
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆157Updated last year
• XAI-ANITI / ethik
  A toolbox for fair and explainable machine learning
  ☆55Updated last year
• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆652Updated last year
• ing-bank / probatus
  SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.
  ☆154Updated 8 months ago
• srome / pykliep
  A density ratio estimator package for python using the KLIEP algorithm.
  ☆109Updated 5 years ago
• brendanhasz / probflow
  A Python package for building Bayesian models with TensorFlow or PyTorch
  ☆176Updated 3 years ago
• IFCA-Advanced-Computing / frouros
  Frouros: an open-source Python library for drift detection in machine learning systems.
  ☆243Updated last month