x-y-zhao / BayLime

Related projects: ⓘ

• ZhengzeZhou / slime
  ☆16Updated last year
• dylan-slack / Modeling-Uncertainty-Local-Explainability
  Local explanations with uncertainty 💐!
  ☆38Updated last year
• dylan-slack / Fooling-LIME-SHAP
  Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
  ☆75Updated last year
• rehmanzafar / xai-iml-sota
  Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human…
  ☆69Updated last year
• SinaMohseni / Awesome-XAI-Evaluation
  Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems
  ☆73Updated 2 years ago
• MartinPawel / c-chvae
  ☆11Updated 3 years ago
• charmlab / mace
  Model Agnostic Counterfactual Explanations
  ☆86Updated last year
• abacusai / xai-bench
  XAI-Bench is a library for benchmarking feature attribution explainability techniques
  ☆55Updated last year
• wangyongjie-ntu / CFAI
  A collection of algorithms of counterfactual explanations.
  ☆47Updated 3 years ago
• oscarkey / explanations-by-minimizing-uncertainty
  Code for "Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties"
  ☆19Updated 3 years ago
• steven7woo / fair_regression_reduction
  General fair regression subject to demographic parity constraint. Paper appeared in ICML 2019.
  ☆14Updated 4 years ago
• iancovert / fastshap
  An amortized approach for calculating local Shapley value explanations
  ☆86Updated 9 months 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…
  ☆125Updated 3 years ago
• mlfoundations / tableshift
  A benchmark for distribution shift in tabular data
  ☆40Updated 3 months ago
• aida-ugent / fairret
  A fairness library in PyTorch.
  ☆26Updated last month
• zzzace2000 / nodegam
  Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"
  ☆43Updated 2 years ago
• AIgen / df-posthoc-calibration
  Model-agnostic posthoc calibration without distributional assumptions
  ☆42Updated 11 months ago
• samzabdiel / XAI
  Papers and code of Explainable AI esp. w.r.t. Image classificiation
  ☆191Updated 2 years ago
• ahmedmagdiosman / clevr-xai
  Dataset and code for the CLEVR-XAI dataset.
  ☆27Updated 11 months ago
• chihkuanyeh / concept_exp
  code release for the paper "On Completeness-aware Concept-Based Explanations in Deep Neural Networks"
  ☆51Updated 2 years ago
• iancovert / removal-explanations
  A lightweight implementation of removal-based explanations for ML models.
  ☆56Updated 3 years ago
• dmitrykazhdan / concept-based-xai
  Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
  ☆52Updated 2 years ago
• riccotti / ABELE
  Adversarial Black box Explainer generating Latent Exemplars
  ☆12Updated 2 years ago
• riccotti / LORE
  LOcal Rule-based Exlanations
  ☆47Updated 9 months ago
• ModelOriented / metaMIMIC
  ☆12Updated last year
• iancovert / shapley-regression
  For calculating Shapley values via linear regression.
  ☆61Updated 3 years ago
• andreArtelt / ceml
  CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox
  ☆42Updated last month
• LevinRoman / tabular-transfer-learning
  A repo for transfer learning with deep tabular models
  ☆100Updated last year
• AI4LIFE-GROUP / OpenXAI
  OpenXAI : Towards a Transparent Evaluation of Model Explanations
  ☆227Updated last month
• josephenguehard / time_interpret
  Unified Model Interpretability Library for Time Series
  ☆37Updated 7 months ago