Alternatives and similar repositories for anchor

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

• lopusz / awesome-interpretable-machine-learning
  ☆918Updated 2 years ago
• andosa / treeinterpreter
  ☆759Updated 2 years ago
• sosuneko / PDPbox
  python partial dependence plot toolbox
  ☆861Updated last year
• h2oai / mli-resources
  H2O.ai Machine Learning Interpretability Resources
  ☆490Updated 4 years ago
• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆649Updated last year
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆860Updated last year
• christophM / rulefit
  Python implementation of the rulefit algorithm
  ☆425Updated 2 years ago
• 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
• marcoancona / DeepExplain
  A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also in…
  ☆759Updated 5 years ago
• interpretml / DiCE
  Generate Diverse Counterfactual Explanations for any machine learning model.
  ☆1,465Updated 3 months ago
• jmschrei / apricot
  apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models qui…
  ☆519Updated 5 months ago
• iskandr / fancyimpute
  Multivariate imputation and matrix completion algorithms implemented in Python
  ☆1,277Updated 2 years ago
• scikit-multilearn / scikit-multilearn
  A scikit-learn based module for multi-label et. al. classification
  ☆953Updated last year
• interpretml / interpret-community
  Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world d…
  ☆434Updated 9 months ago
• adebayoj / fairml
  ☆368Updated 4 years ago
• vecxoz / vecstack
  Python package for stacking (machine learning technique)
  ☆700Updated last week
• scikit-learn-contrib / DESlib
  A Python library for dynamic classifier and ensemble selection
  ☆493Updated last year
• dssg / aequitas
  Bias Auditing & Fair ML Toolkit
  ☆736Updated this week
• pbiecek / xai_resources
  Interesting resources related to XAI (Explainable Artificial Intelligence)
  ☆840Updated 3 years ago
• marcotcr / lime-experiments
  Code for all experiments.
  ☆319Updated 4 years ago
• SeldonIO / alibi
  Algorithms for explaining machine learning models
  ☆2,575Updated 3 weeks ago
• TeamHG-Memex / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆2,772Updated 6 months ago
• Trusted-AI / AIX360
  Interpretability and explainability of data and machine learning models
  ☆1,745Updated 8 months ago
• dswah / pyGAM
  [CONTRIBUTORS WELCOME] Generalized Additive Models in Python
  ☆925Updated last month
• ragulpr / wtte-rnn
  WTTE-RNN a framework for churn and time to event prediction
  ☆779Updated 5 years ago
• kundajelab / deeplift
  Public facing deeplift repo
  ☆868Updated 3 years ago
• scikit-multiflow / scikit-multiflow
  A machine learning package for streaming data in Python. The other ancestor of River.
  ☆785Updated 2 years ago
• fabianp / mord
  Ordinal regression algorithms
  ☆270Updated 2 years ago
• EpistasisLab / pmlb
  PMLB: A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.
  ☆846Updated 8 months ago