Alternatives and similar repositories for skpm:

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

• sherbold / autorank
  ☆72Updated 3 months ago
• gabrieljaguiar / nemenyi
  Post-hoc Nemenyi test for algorithm statistical comparison.
  ☆21Updated 4 years ago
• ealcobaca / pymfe
  Python Meta-Feature Extractor package.
  ☆126Updated 6 months ago
• gabrieljaguiar / image-meta-feature-extractor
  An image meta-feature extractor for meta-learning tasks.
  ☆12Updated last year
• lpfgarcia / ECoL
  Extended Complexity Library in R
  ☆57Updated 4 years ago
• victorhb / ImbCoL
  R package for data complexity measures for imbalanced classification tasks
  ☆9Updated 3 years ago
• denismr / incremental-ks
  Incremental Kolmogorov Smirnov
  ☆21Updated 5 years ago
• vlosing / driftDatasets
  ☆47Updated 6 years ago
• benedekrozemberczki / shapley
  The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
  ☆218Updated last year
• haugjo / float
  A modular Python framework for standardized evaluation and benchmarking of online learning models.
  ☆9Updated 2 years ago
• janezd / baycomp
  ☆72Updated 8 months ago
• tiagobotari / melime
  Meaningful Local Explanation for Machine Learning Models
  ☆41Updated last year
• charmlab / mace
  Model Agnostic Counterfactual Explanations
  ☆87Updated 2 years ago
• scikit-activeml / scikit-activeml
  scikit-activeml: Python library for active learning on top of scikit-learn
  ☆157Updated this week
• alipsgh / data-streams
  You will find (about) synthetic and real-world data streams in this repository.
  ☆47Updated 3 years ago
• mmschlk / iXAI
  Fast and incremental explanations for online machine learning models. Works best with the river framework.
  ☆52Updated 3 weeks ago
• zzzace2000 / nodegam
  Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"
  ☆43Updated 2 years ago
• interpretml / gam-changer
  Editing machine learning models to reflect human knowledge and values
  ☆123Updated last year
• gbrltv / business_process_encoding
  Business Process Encoding
  ☆12Updated 6 months ago
• riccotti / LORE
  LOcal Rule-based Exlanations
  ☆50Updated last year
• online-ml / deep-river
  ☆124Updated last week
• feedzai / fairgbm
  Train Gradient Boosting models that are both high-performance *and* Fair!
  ☆102Updated 6 months ago
• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆259Updated this week
• 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…
  ☆100Updated 2 years ago
• aida-ugent / fairret
  A fairness library in PyTorch.
  ☆26Updated 5 months ago
• irhete / predictive-monitoring-benchmark
  Comparative experimental evaluation of outcome-oriented predictive monitoring techniques on a benchmark consisting of 24 real-world datas…
  ☆32Updated 3 years ago
• AI4LIFE-GROUP / OpenXAI
  OpenXAI : Towards a Transparent Evaluation of Model Explanations
  ☆237Updated 5 months ago
• SelfExplainML / GamiNet-PyTorch
  ☆12Updated last year
• carla-recourse / CARLA
  CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
  ☆286Updated last year
• fracpete / sklearn-weka-plugin
  Makes Weka algorithms available in scikit-learn, by using python-weka-wrapper3 under the hood.
  ☆16Updated 3 weeks ago