OpenXAI : Towards a Transparent Evaluation of Model Explanations
☆254Aug 17, 2024Updated last year
Alternatives and similar repositories for OpenXAI
Users that are interested in OpenXAI are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for paper: Are Large Language Models Post Hoc Explainers?☆34Jul 22, 2024Updated last year
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆72Jan 26, 2023Updated 3 years ago
- Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations☆657Mar 9, 2026Updated last month
- Code for paper [Explaining image classifiers by removing input features using generative models] [ACCV 2020] https://arxiv.org/abs/1910.0…☆15Nov 22, 2022Updated 3 years ago
- Explanation Optimization☆13Oct 16, 2020Updated 5 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems☆77Mar 26, 2022Updated 4 years ago
- ☆11Oct 22, 2020Updated 5 years ago
- Code for paper "Search Methods for Sufficient, Socially-Aligned Feature Importance Explanations with In-Distribution Counterfactuals"☆18Oct 17, 2022Updated 3 years ago
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆207May 22, 2024Updated last year
- Code for the CVPR 2020 [ORAL] paper "SAM: The Sensitivity of Attribution Methods to Hyperparameters"☆27Dec 8, 2022Updated 3 years ago
- Local explanations with uncertainty 💐!☆42Aug 8, 2023Updated 2 years ago
- A Unified Approach to Evaluate and Compare Explainable AI methods☆14Jan 19, 2024Updated 2 years ago
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,507Jul 13, 2025Updated 9 months ago
- A python package for benchmarking interpretability techniques on Transformers.☆215Sep 29, 2024Updated last year
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- A Python framework for the quantitative evaluation of eXplainable AI methods☆18Mar 29, 2023Updated 3 years ago
- OCEAN: Optimal Counterfactual Explanations in Tree Ensembles (ICML 2021)☆36Updated this week
- ☆14Dec 4, 2023Updated 2 years ago
- Algorithms for explaining machine learning models☆2,622Oct 17, 2025Updated 5 months ago
- Counterfactual Explanation Based on Gradual Construction for Deep Networks Pytorch☆11Apr 7, 2021Updated 5 years ago
- OmniXAI: A Library for eXplainable AI☆966Jul 23, 2024Updated last year
- Explaining neural decisions contrastively to alternative decisions.☆24Mar 18, 2021Updated 5 years ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Mar 22, 2023Updated 3 years ago
- TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!☆128Aug 3, 2023Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Code for NAACL 2022 paper "Reframing Human-AI Collaboration for Generating Free-Text Explanations"☆30Apr 28, 2023Updated 2 years ago
- Explaining Image Classifiers by Counterfactual Generation☆28Apr 23, 2022Updated 3 years ago
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆82Dec 8, 2022Updated 3 years ago
- Fairness toolkit for pytorch, scikit learn and autogluon☆33Nov 12, 2025Updated 5 months ago
- HIVE: Evaluating the Human Interpretability of Visual Explanations (ECCV 2022)☆22Jan 19, 2023Updated 3 years ago
- Interpretable Explanations of Black Boxes by Meaningful Perturbation Pytorch☆12Aug 30, 2024Updated last year
- Model interpretability and understanding for PyTorch☆5,600Updated this week
- Learning to Estimate Shapley Values with Vision Transformers☆37Mar 4, 2026Updated last month
- CoRelAy is a tool to compose small-scale (single-machine) analysis pipelines.☆31Jul 21, 2025Updated 8 months ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- eXplainable Machine Learning 2022 at MIM UW☆20Jul 1, 2023Updated 2 years ago
- ☆13Jul 26, 2023Updated 2 years ago
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNs☆50Apr 8, 2024Updated 2 years ago
- Probing the limitations of multimodal language models for chemistry and materials research☆23Feb 1, 2026Updated 2 months ago
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆302Oct 2, 2023Updated 2 years ago
- Multi-Objective Counterfactuals☆43Jul 8, 2022Updated 3 years ago
- Dataset and code for the CLEVR-XAI dataset.☆33Oct 3, 2023Updated 2 years ago