Alternatives and similar repositories for awesome-explanatory-supervision

Users that are interested in awesome-explanatory-supervision are comparing it to the libraries listed below

• csinva / hierarchical-dnn-interpretations
  Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)
  ☆128Updated 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
• dylan-slack / Modeling-Uncertainty-Local-Explainability
  Local explanations with uncertainty 💐!
  ☆40Updated last year
• acmi-lab / cmu-10732-robustness-adaptivity-shift
  Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments
  ☆74Updated 2 years ago
• d909b / cxplain
  Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.
  ☆131Updated 4 years ago
• amiratag / ACE
  Towards Automatic Concept-based Explanations
  ☆159Updated last year
• AI4LIFE-GROUP / OpenXAI
  OpenXAI : Towards a Transparent Evaluation of Model Explanations
  ☆247Updated 9 months ago
• hadijomaa / dataset2vec
  ☆32Updated 3 years ago
• suinleelab / path_explain
  A repository for explaining feature attributions and feature interactions in deep neural networks.
  ☆187Updated 3 years ago
• abacusai / xai-bench
  XAI-Bench is a library for benchmarking feature attribution explainability techniques
  ☆66Updated 2 years ago
• kohpangwei / group-influence-release
  ☆50Updated 2 years ago
• OscarcarLi / PrototypeDL
  Codebase for "Deep Learning for Case-based Reasoning through Prototypes: A Neural Network that Explains Its Predictions" (to appear in AA…
  ☆75Updated 7 years ago
• yongkaiwu / FairAI
  This is a collection of papers and other resources related to fairness.
  ☆94Updated last year
• Jianbo-Lab / L2X
  ☆125Updated 4 years ago
• dylan-slack / Fooling-LIME-SHAP
  Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
  ☆82Updated 2 years ago
• rehmanzafar / xai-iml-sota
  Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human…
  ☆72Updated 2 years ago
• AmanDaVinci / SENN
  Self-Explaining Neural Networks
  ☆42Updated 5 years ago
• JonathanCrabbe / Simplex
  This repository contains the implementation of SimplEx, a method to explain the latent representations of black-box models with the help …
  ☆24Updated 2 years ago
• laura-rieger / deep-explanation-penalization
  Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" ht…
  ☆127Updated 4 years ago
• ZaydH / influence_analysis_papers
  Influence Analysis and Estimation - Survey, Papers, and Taxonomy
  ☆78Updated last year
• charmlab / mace
  Model Agnostic Counterfactual Explanations
  ☆87Updated 2 years ago
• BeenKim / MMD-critic
  ☆134Updated 5 years ago
• iancovert / fastshap
  An amortized approach for calculating local Shapley value explanations
  ☆97Updated last year
• andreysharapov / xaience
  All about explainable AI, algorithmic fairness and more
  ☆109Updated last year
• pietrobarbiero / pytorch_explain
  PyTorch Explain: Interpretable Deep Learning in Python.
  ☆155Updated last year
• siplab-gt / generative-causal-explanations
  Code for "Generative causal explanations of black-box classifiers"
  ☆34Updated 4 years ago
• salesforce / fast-influence-functions
  ☆89Updated last month
• ykwon0407 / beta_shapley
  Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)
  ☆41Updated 2 years ago
• mlfoundations / tableshift
  A benchmark for distribution shift in tabular data
  ☆52Updated 11 months 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