Alternatives and similar repositories for Compare-xAI

Users that are interested in Compare-xAI are comparing it to the libraries listed below

• Libr-AI / fairlib
  A framework for assessing and improving classification fairness.
  ☆33Updated last year
• abacusai / xai-bench
  XAI-Bench is a library for benchmarking feature attribution explainability techniques
  ☆66Updated 2 years ago
• AI4LIFE-GROUP / LLM_Explainer
  Code for paper: Are Large Language Models Post Hoc Explainers?
  ☆31Updated 10 months ago
• copenlu / xai-benchmark
  A Diagnostic Study of Explainability Techniques for Text Classification
  ☆67Updated 4 years ago
• frankaging / BERT-LRP
  On Explaining Your Explanations of BERT: An Empirical Study with Sequence Classification
  ☆30Updated 2 years ago
• i-gallegos / Fair-LLM-Benchmark
  ☆133Updated last year
• oxfordinternetinstitute / oxonfair
  Fairness toolkit for pytorch, scikit learn and autogluon
  ☆32Updated 5 months ago
• tommasoc80 / AbuseEval
  Data set for LREC 2020 paper "I Feel Offended, Don't Be Abusive!"
  ☆18Updated last year
• microsoft / augmented-interpretable-models
  Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.
  ☆42Updated 3 months ago
• g8a9 / ear
  Code associated with the paper "Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists"
  ☆48Updated 3 years ago
• salesforce / fast-influence-functions
  ☆89Updated last month
• CoderPat / learning-scaffold
  This is the official implementation for the paper "Learning to Scaffold: Optimizing Model Explanations for Teaching"
  ☆19Updated 3 years ago
• peterbhase / ExplanationSearch
  Code for paper "Search Methods for Sufficient, Socially-Aligned Feature Importance Explanations with In-Distribution Counterfactuals"
  ☆18Updated 2 years ago
• HrishikeshVish / Fairpy
  ☆23Updated 10 months ago
• jeffhj / LM_PersonalInfoLeak
  The code and data for "Are Large Pre-Trained Language Models Leaking Your Personal Information?" (Findings of EMNLP '22)
  ☆23Updated 2 years ago
• xiaoyuxin1002 / UQ-PLM
  Uncertainty Quantification with Pre-trained Language Models: An Empirical Analysis
  ☆15Updated 2 years ago
• mtsang / archipelago
  Official Code Repo for the Paper: "How does This Interaction Affect Me? Interpretable Attribution for Feature Interactions", In NeurIPS 2…
  ☆39Updated 2 years ago
• kanekomasahiro / context-debias
  ☆25Updated 3 years ago
• SinaMohseni / Awesome-XAI-Evaluation
  Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems
  ☆74Updated 3 years ago
• successar / instance_attributions_NLP
  ☆17Updated 4 years ago
• sakshiudeshi / Astraea
  Code for "Astraea: Grammar-based Fairness Testing"
  ☆10Updated 3 years ago
• AI4LIFE-GROUP / OpenXAI
  OpenXAI : Towards a Transparent Evaluation of Model Explanations
  ☆247Updated 9 months ago
• McGill-NLP / bias-bench
  ACL 2022: An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models.
  ☆137Updated 5 months ago
• allenai / mice
  ☆26Updated 2 years ago
• HanjieChen / REV
  Code for the paper "REV: Information-Theoretic Evaluation of Free-Text Rationales"
  ☆15Updated last year
• huashen218 / convxai
  CSCW 2023 Best Demo Award: Conversational AI Explanations to Support Human-AI Scientific Writing
  ☆14Updated last year
• tianlu-wang / Identifying-and-Mitigating-Spurious-Correlations-for-Improving-Robustness-in-NLP-Models
  NAACL 2022 Findings
  ☆15Updated 3 years ago
• eth-sri / SynthPAI
  A Synthetic Dataset for Personal Attribute Inference (NeurIPS'24 D&B)
  ☆43Updated 6 months ago
• tml-tuebingen / nshap
  Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.
  ☆17Updated last year
• QData / TextAttack-A2T
  A2T: Towards Improving Adversarial Training of NLP Models (EMNLP 2021 Findings)
  ☆26Updated 3 years ago