Alternatives and similar repositories for ContrXT

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

• riccotti / ABELE
  Adversarial Black box Explainer generating Latent Exemplars
  ☆11Updated 3 years ago
• oxfordinternetinstitute / oxonfair
  Fairness toolkit for pytorch, scikit learn and autogluon
  ☆32Updated 6 months ago
• fairwashing / fairwashing
  Code-repository for the ICML 2020 paper Fairwashing explanations with off-manifold detergent
  ☆12Updated 4 years ago
• chihkuanyeh / concept_exp
  code release for the paper "On Completeness-aware Concept-Based Explanations in Deep Neural Networks"
  ☆53Updated 3 years ago
• SapienzaNLP / ita-bench
  A collection of Italian benchmarks for LLM evaluation
  ☆30Updated last month
• dylan-slack / Fooling-LIME-SHAP
  Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
  ☆82Updated 2 years ago
• deel-ai / xplique
  👋 Xplique is a Neural Networks Explainability Toolbox
  ☆689Updated 8 months ago
• g8a9 / ferret
  A python package for benchmarking interpretability techniques on Transformers.
  ☆213Updated 8 months ago
• riccotti / LORE
  LOcal Rule-based Exlanations
  ☆51Updated last year
• deel-ai / deel-lip
  Build and train Lipschitz constrained networks: TensorFlow implementation of k-Lipschitz layers
  ☆96Updated 3 months ago
• gonenhila / gender_bias_lipstick
  ☆39Updated 6 years ago
• biquality-learn / biquality-learn
  A Python Library for Biquality Learning
  ☆14Updated 2 months ago
• kharrigian / smgeo
  Geolocation Inference for Reddit
  ☆12Updated last year
• x-y-zhao / BayLime
  bayesian lime
  ☆17Updated 10 months ago
• cosmicBboy / themis-ml
  A library that implements fairness-aware machine learning algorithms
  ☆125Updated 4 years ago
• andreArtelt / ceml
  CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox
  ☆44Updated 3 weeks ago
• SinaMohseni / Awesome-XAI-Evaluation
  Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems
  ☆74Updated 3 years ago
• dandls / moc
  Multi-Objective Counterfactuals
  ☆41Updated 2 years ago
• GiulioRossetti / Python-Project-Template
  Minimal template for a Python library project
  ☆11Updated 2 years ago
• Karim-53 / Compare-xAI
  A Unified Approach to Evaluate and Compare Explainable AI methods
  ☆14Updated last year
• uclanlp / reducingbias
  ☆83Updated 4 years ago
• lkopf / cosy
  [NeurIPS 2024] CoSy is an automatic evaluation framework for textual explanations of neurons.
  ☆16Updated last week
• AI4LIFE-GROUP / OpenXAI
  OpenXAI : Towards a Transparent Evaluation of Model Explanations
  ☆247Updated 10 months ago
• MilaNLProc / honest
  A Python package to compute HONEST, a score to measure hurtful sentence completions in language models. Published at NAACL 2021.
  ☆21Updated 2 months ago
• Ighina / CERTIFAI
  A python implementation of CERTIFAI framework for machine learning models' explainability as discussed in https://www.aies-conference.com…
  ☆11Updated 3 years ago
• princetonvisualai / revise-tool
  REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets --- https://arxiv.org/abs/2004.07999
  ☆111Updated 2 years ago
• aida-ugent / fairret
  A fairness library in PyTorch.
  ☆29Updated 11 months ago
• enjakokalj / TransSHAP
  ☆49Updated 2 years ago
• rehmanzafar / xai-iml-sota
  Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human…
  ☆73Updated 2 years ago
• giorgiovisani / lime_stability
  ☆33Updated last year