Alternatives and similar repositories for xaience

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

• MarcelRobeer / ContrastiveExplanation
  Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University
  ☆45Updated 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
• dylan-slack / Fooling-LIME-SHAP
  Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
  ☆82Updated 2 years ago
• dssg / fairness_tutorial
  Hands-on tutorial on ML Fairness
  ☆71Updated last year
• giorgiovisani / lime_stability
  ☆33Updated 11 months ago
• iancovert / removal-explanations
  A lightweight implementation of removal-based explanations for ML models.
  ☆59Updated 3 years ago
• carla-recourse / CARLA
  CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
  ☆289Updated last year
• benedekrozemberczki / shapley
  The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
  ☆220Updated last year
• EthicalML / explainability-and-bias
  ☆102Updated last year
• steverab / failing-loudly
  Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.119…
  ☆104Updated last year
• h2oai / mli-resources
  H2O.ai Machine Learning Interpretability Resources
  ☆488Updated 4 years ago
• andreArtelt / ceml
  CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox
  ☆44Updated last month
• hbaniecki / adversarial-explainable-ai
  💡 Adversarial attacks on explanations and how to defend them
  ☆315Updated 6 months ago
• interpretml / gam-changer
  Editing machine learning models to reflect human knowledge and values
  ☆124Updated last year
• corels / pycorels
  Public home of pycorels, the python binding to CORELS
  ☆80Updated 4 years ago
• SelfExplainML / Aletheia
  A Python package for unwrapping ReLU DNNs
  ☆70Updated last year
• charmlab / mace
  Model Agnostic Counterfactual Explanations
  ☆87Updated 2 years ago
• ustunb / actionable-recourse
  python tools to check recourse in linear classification
  ☆76Updated 4 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
• csinva / hierarchical-dnn-interpretations
  Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)
  ☆128Updated 3 years ago
• tiagobotari / melime
  Meaningful Local Explanation for Machine Learning Models
  ☆41Updated 2 years ago
• equialgo / fairness-in-ml
  This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.
  ☆117Updated 4 years ago
• IBM / UQ360
  Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty i…
  ☆267Updated 3 weeks ago
• AI4LIFE-GROUP / OpenXAI
  OpenXAI : Towards a Transparent Evaluation of Model Explanations
  ☆247Updated 9 months ago
• fat-forensics / fat-forensics
  Modular Python Toolbox for Fairness, Accountability and Transparency Forensics
  ☆77Updated last year
• amarasovic / interpretability-literature
  ☆264Updated 5 years ago
• lopusz / awesome-interpretable-machine-learning
  ☆915Updated 2 years ago
• romanlutz / ResponsibleAI
  A collection of news articles, books, and papers on Responsible AI cases. The purpose is to study these cases and learn from them to avoi…
  ☆68Updated 4 years ago
• suinleelab / path_explain
  A repository for explaining feature attributions and feature interactions in deep neural networks.
  ☆187Updated 3 years ago
• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆270Updated last week