Alternatives and similar repositories for anchor

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

• sosuneko / PDPbox
  python partial dependence plot toolbox
  ☆860Updated 11 months ago
• andosa / treeinterpreter
  ☆759Updated 2 years ago
• lopusz / awesome-interpretable-machine-learning
  ☆915Updated 2 years ago
• h2oai / mli-resources
  H2O.ai Machine Learning Interpretability Resources
  ☆489Updated 4 years ago
• christophM / rulefit
  Python implementation of the rulefit algorithm
  ☆424Updated last year
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆860Updated last year
• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆644Updated last year
• zygmuntz / hyperband
  Tuning hyperparams fast with Hyperband
  ☆595Updated 7 years ago
• 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
• interpretml / DiCE
  Generate Diverse Counterfactual Explanations for any machine learning model.
  ☆1,436Updated last month
• marcotcr / lime-experiments
  Code for all experiments.
  ☆318Updated 4 years ago
• scikit-multilearn / scikit-multilearn
  A scikit-learn based module for multi-label et. al. classification
  ☆945Updated last year
• marcoancona / DeepExplain
  A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also in…
  ☆754Updated 4 years ago
• dswah / pyGAM
  [CONTRIBUTORS WELCOME] Generalized Additive Models in Python
  ☆911Updated last week
• adebayoj / fairml
  ☆366Updated 4 years ago
• dssg / aequitas
  Bias Auditing & Fair ML Toolkit
  ☆727Updated 3 months ago
• vecxoz / vecstack
  Python package for stacking (machine learning technique)
  ☆694Updated last year
• AustinRochford / PyCEbox
  ⬛ Python Individual Conditional Expectation Plot Toolbox
  ☆165Updated 5 years ago
• SeldonIO / alibi
  Algorithms for explaining machine learning models
  ☆2,550Updated 2 months ago
• jmschrei / apricot
  apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models qui…
  ☆513Updated 2 months ago
• scikit-learn-contrib / scikit-learn-contrib
  scikit-learn compatible projects
  ☆411Updated 4 months ago
• interpretml / interpret-community
  Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world d…
  ☆434Updated 6 months ago
• ragulpr / wtte-rnn
  WTTE-RNN a framework for churn and time to event prediction
  ☆778Updated 5 years ago
• TeamHG-Memex / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆2,772Updated 4 months ago
• ModelOriented / DALEX
  moDel Agnostic Language for Exploration and eXplanation
  ☆1,437Updated 3 weeks ago
• Qwicen / node
  Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
  ☆496Updated 4 years ago
• riccotti / LORE
  LOcal Rule-based Exlanations
  ☆51Updated last year
• scikit-learn-contrib / DESlib
  A Python library for dynamic classifier and ensemble selection
  ☆491Updated last year
• scikit-multiflow / scikit-multiflow
  A machine learning package for streaming data in Python. The other ancestor of River.
  ☆782Updated last year
• Trusted-AI / AIX360
  Interpretability and explainability of data and machine learning models
  ☆1,718Updated 5 months ago