INSPIRED-GMU / fairkit-learn

Related projects: ⓘ

• IBM / inFairness
  PyTorch package to train and audit ML models for Individual Fairness
  ☆63Updated last year
• socialfoundations / folktables
  Datasets derived from US census data
  ☆232Updated 4 months ago
• socialfoundations / error-parity
  Achieve error-rate fairness between societal groups for any score-based classifier.
  ☆16Updated 4 months ago
• charmlab / recourse
  Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831
  ☆34Updated last year
• bhaweshiitk / ConformalLLM
  Extending Conformal Prediction to LLMs
  ☆53Updated 3 months ago
• ustunb / actionable-recourse
  python tools to check recourse in linear classification
  ☆74Updated 3 years ago
• jcperdomo / performative-prediction
  ☆27Updated 2 years ago
• interpretml / TalkToEBM
  A Natural Language Interface to Explainable Boosting Machines
  ☆59Updated 2 months ago
• interpretml / LLM-Tabular-Memorization-Checker
  Testing Language Models for Memorization of Tabular Datasets.
  ☆26Updated last week
• aangelopoulos / conformal-risk
  Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…
  ☆57Updated last year
• tml-tuebingen / nshap
  Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.
  ☆17Updated 11 months ago
• jmkuebler / auto-tst
  AutoML Two-Sample Test
  ☆18Updated 2 years ago
• DataResponsibly / FairPrep
  FairPrep is a design and evaluation framework for fairness-enhancing interventions that treats data as a first-class citizen.
  ☆11Updated last year
• mit-ll-responsible-ai / responsible-ai-toolbox
  PyTorch-centric library for evaluating and enhancing the robustness of AI technologies
  ☆51Updated 7 months ago
• ykwon0407 / beta_shapley
  Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)
  ☆38Updated last year
• andreArtelt / ceml
  CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox
  ☆42Updated last month
• uvanlp / valda
  A Python Data Valuation Package
  ☆27Updated last year
• dylan-slack / Fooling-LIME-SHAP
  Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
  ☆75Updated last year
• ykwon0407 / fast_dist_shapley
  Efficient Computation and Analysis of Distributional Shapley Values (AISTATS 2021)
  ☆21Updated 11 months ago
• dandls / moc
  Multi-Objective Counterfactuals
  ☆40Updated 2 years ago
• seedatnabeel / Data-SUITE
  Data-SUITE: Data-centric identification of in-distribution incongruous examples (ICML 2022)
  ☆9Updated last year
• iancovert / shapley-regression
  For calculating Shapley values via linear regression.
  ☆61Updated 3 years ago
• marharyta-aleksandrova / conformal-learning
  Code related to different aspects of conformal learning
  ☆15Updated 11 months ago
• opendataval / opendataval
  OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)
  ☆81Updated last month
• ProgBelarus / MultiValidPrediction
  ☆13Updated 2 years ago
• yoshavit / fairml-farm
  A collection of implementations of fair ML algorithms
  ☆11Updated 6 years ago
• vanderschaarlab / evaluating-generative-models
  ☆28Updated last year
• charmlab / mace
  Model Agnostic Counterfactual Explanations
  ☆86Updated last year
• alan-turing-institute / QUIPP-pipeline
  Privacy preserving synthetic data generation workflows
  ☆20Updated 2 years ago
• py-why / pywhy-llm
  Experimental library integrating LLM capabilities to support causal analyses
  ☆70Updated last week