Alternatives and similar repositories for xai-aaai2022

Users that are interested in xai-aaai2022 are comparing it to the libraries listed below

• AstraZeneca / awesome-shapley-value
  Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)
  ☆153Updated 3 years ago
• benedekrozemberczki / shapley
  The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
  ☆221Updated 2 years ago
• SinaMohseni / Awesome-XAI-Evaluation
  Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems
  ☆75Updated 3 years ago
• dylan-slack / Fooling-LIME-SHAP
  Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
  ☆84Updated 2 years ago
• pietrobarbiero / pytorch_explain
  PyTorch Explain: Interpretable Deep Learning in Python.
  ☆164Updated last year
• AI4LIFE-GROUP / OpenXAI
  OpenXAI : Towards a Transparent Evaluation of Model Explanations
  ☆249Updated last year
• sayakpaul / robustness-foundation-models
  This repository holds code and other relevant files for the NeurIPS 2022 tutorial: Foundational Robustness of Foundation Models.
  ☆72Updated 2 years ago
• ykwon0407 / beta_shapley
  Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)
  ☆42Updated 3 years ago
• rushrukh / awesome-explainable-ai
  A repository for summaries of recent explainable AI/Interpretable ML approaches
  ☆86Updated last year
• siplab-gt / generative-causal-explanations
  Code for "Generative causal explanations of black-box classifiers"
  ☆35Updated 4 years ago
• wangyongjie-ntu / CFAI
  A collection of algorithms of counterfactual explanations.
  ☆52Updated 4 years ago
• AmrMKayid / nam
  Neural Additive Models (Google Research)
  ☆73Updated 4 years ago
• iancovert / removal-explanations
  A lightweight implementation of removal-based explanations for ML models.
  ☆59Updated 4 years ago
• stefanoteso / awesome-explanatory-supervision
  List of relevant resources for machine learning from explanatory supervision
  ☆161Updated 4 months ago
• abacusai / xai-bench
  XAI-Bench is a library for benchmarking feature attribution explainability techniques
  ☆70Updated 2 years ago
• iancovert / shapley-regression
  For calculating Shapley values via linear regression.
  ☆71Updated 4 years ago
• Innixma / kdd-2022-multimodal-automl-tutorial
  ☆16Updated 3 years ago
• dmitrykazhdan / concept-based-xai
  Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
  ☆55Updated 3 years ago
• d909b / cxplain
  Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.
  ☆132Updated 5 years ago
• mateoespinosa / remix
  Rule Extraction Methods for Interactive eXplainability
  ☆48Updated 3 years ago
• opendataval / opendataval
  OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)
  ☆99Updated 9 months ago
• JieyuZ2 / Awesome-Weak-Supervision
  A curated list of programmatic weak supervision papers and resources
  ☆190Updated 2 years ago
• alexandrainst / responsible-ai
  Responsible AI knowledge base
  ☆108Updated 2 years ago
• epfl-lts2 / GraphMining-TheWebConf2021
  ☆14Updated 4 years ago
• amiratag / DistributionalShapley
  Distributional Shapley: A Distributional Framework for Data Valuation
  ☆30Updated last year
• LARS-research / TabGNN
  ☆51Updated 4 years ago
• hadijomaa / dataset2vec
  ☆33Updated 4 years ago
• dylan-slack / TalkToModel
  TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!
  ☆125Updated 2 years ago
• AstraZeneca / SubTab
  The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"
  ☆150Updated 3 years ago
• bhaweshiitk / ConformalLLM
  Extending Conformal Prediction to LLMs
  ☆68Updated last year