Alternatives and similar repositories for veritas

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

• charmlab / mace
  Model Agnostic Counterfactual Explanations
  ☆88Updated 3 years ago
• socialfoundations / folktables
  Datasets derived from US census data
  ☆273Updated last year
• chenhongge / treeVerification
  [NeurIPS 2019] H. Chen*, H. Zhang*, S. Si, Y. Li, D. Boning and C.-J. Hsieh, Robustness Verification of Tree-based Models (*equal contrib…
  ☆27Updated 6 years ago
• mbilalzafar / fair-classification
  Python code for training fair logistic regression classifiers.
  ☆192Updated 3 years ago
• jmikko / fair_ERM
  Fair Empirical Risk Minimization (FERM)
  ☆37Updated 5 years ago
• talwagner / fair_clustering
  ☆20Updated 6 years ago
• riccotti / LORE
  LOcal Rule-based Exlanations
  ☆54Updated last year
• BorealisAI / private-data-generation
  A toolbox for differentially private data generation
  ☆131Updated 2 years ago
• iancovert / shapley-regression
  For calculating Shapley values via linear regression.
  ☆71Updated 4 years ago
• divyat09 / cf-feasibility
  Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"
  ☆31Updated 2 years ago
• carla-recourse / CARLA
  CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
  ☆297Updated 2 years ago
• andreArtelt / ceml
  CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox
  ☆45Updated 5 months ago
• AI4LIFE-GROUP / OpenXAI
  OpenXAI : Towards a Transparent Evaluation of Model Explanations
  ☆249Updated last year
• MartinPawelczyk / c-chvae
  ☆11Updated 5 years ago
• jcperdomo / performative-prediction
  ☆32Updated 3 years ago
• dylan-slack / Fooling-LIME-SHAP
  Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
  ☆84Updated 2 years ago
• aai-institute / pyDVL
  pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation
  ☆139Updated 2 months ago
• mkusner / counterfactual-fairness
  Code for "Counterfactual Fairness" (NIPS2017)
  ☆55Updated 7 years ago
• opendataval / opendataval
  OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)
  ☆99Updated 9 months ago
• algowatchpenn / GerryFair
  library for fair auditing and learning of classifiers with respect to rich subgroup fairness.
  ☆32Updated 6 years ago
• hbaniecki / adversarial-explainable-ai
  💡 Adversarial attacks on explanations and how to defend them
  ☆328Updated 11 months ago
• socialfoundations / error-parity
  Achieve error-rate fairness between societal groups for any score-based classifier.
  ☆19Updated 3 months ago
• aida-ugent / fairret
  A fairness library in PyTorch.
  ☆32Updated last year
• iancovert / fastshap
  An amortized approach for calculating local Shapley value explanations
  ☆102Updated last year
• daviddao / awesome-data-valuation
  💱 A curated list of data valuation (DV) to design your next data marketplace
  ☆133Updated 9 months ago
• fat-forensics / fat-forensics
  Modular Python Toolbox for Fairness, Accountability and Transparency Forensics
  ☆77Updated 2 years ago
• sherbold / autorank
  ☆86Updated 4 months ago
• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆279Updated this week
• mirkobunse / critdd
  Critical difference diagrams with Python and Tikz
  ☆35Updated last year
• chenhongge / RobustTrees
  [ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples
  ☆67Updated 4 months ago