Alternatives and similar repositories for fairkit-learn

Users that are interested in fairkit-learn are comparing it to the libraries listed below

• socialfoundations / error-parity
  Achieve error-rate fairness between societal groups for any score-based classifier.
  ☆19Updated last year
• IBM / inFairness
  PyTorch package to train and audit ML models for Individual Fairness
  ☆66Updated 2 months ago
• aangelopoulos / conformal-risk
  Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…
  ☆67Updated 2 years ago
• dylan-slack / Fooling-LIME-SHAP
  Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
  ☆82Updated 2 years ago
• jjcherian / conditional-conformal
  A package for conformal prediction with conditional guarantees.
  ☆61Updated 4 months ago
• usnistgov / SDNist
  SDNist: Benchmark data and evaluation tools for data synthesizers.
  ☆36Updated this week
• annahedstroem / MetaQuantus
  MetaQuantus is an XAI performance tool to identify reliable evaluation metrics
  ☆37Updated last year
• socialfoundations / folktables
  Datasets derived from US census data
  ☆265Updated last year
• aai-institute / pyDVL
  pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation
  ☆132Updated 2 months ago
• bhaweshiitk / ConformalLLM
  Extending Conformal Prediction to LLMs
  ☆67Updated last year
• interpretml / LLM-Tabular-Memorization-Checker
  Testing Language Models for Memorization of Tabular Datasets.
  ☆34Updated 5 months ago
• layer6ai-labs / TabDPT-inference
  Inference code for "TabDPT: Scaling Tabular Foundation Models on Real Data"
  ☆52Updated this week
• aida-ugent / fairret
  A fairness library in PyTorch.
  ☆29Updated 11 months ago
• interpretml / TalkToEBM
  A Natural Language Interface to Explainable Boosting Machines
  ☆67Updated last year
• microsoft / goodpoints
  A Python package for generating concise, high-quality summaries of a probability distribution
  ☆53Updated 3 months ago
• AI4LIFE-GROUP / OpenXAI
  OpenXAI : Towards a Transparent Evaluation of Model Explanations
  ☆247Updated 11 months ago
• socialfoundations / folktexts
  Evaluate uncertainty, calibration, accuracy, and fairness of LLMs on real-world survey data!
  ☆23Updated 3 months ago
• dilyabareeva / quanda
  A toolkit for quantitative evaluation of data attribution methods.
  ☆50Updated this week
• dandls / moc
  Multi-Objective Counterfactuals
  ☆42Updated 3 years ago
• andreArtelt / ceml
  CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox
  ☆44Updated last month
• tml-tuebingen / nshap
  Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.
  ☆17Updated last year
• iancovert / removal-explanations
  A lightweight implementation of removal-based explanations for ML models.
  ☆59Updated 4 years ago
• Sulam-Group / h-shap
  h-Shap provides an exact, fast, hierarchical implementation of Shapley coefficients for image explanations
  ☆16Updated last year
• easeml / datascope
  Measuring data importance over ML pipelines using the Shapley value.
  ☆43Updated 2 months ago
• carla-recourse / CARLA
  CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
  ☆292Updated last year
• jjbrophy47 / tree_influence
  Influence Estimation for Gradient-Boosted Decision Trees
  ☆29Updated last year
• oxfordinternetinstitute / oxonfair
  Fairness toolkit for pytorch, scikit learn and autogluon
  ☆32Updated 7 months ago
• abacusai / xai-bench
  XAI-Bench is a library for benchmarking feature attribution explainability techniques
  ☆69Updated 2 years ago
• facebookresearch / nbm-spam
  Training and evaluating NBM and SPAM for interpretable machine learning.
  ☆78Updated 2 years ago
• IBM / UQ360
  Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty i…
  ☆267Updated 2 months ago