altamiracorp / awesome-xai
Awesome Explainable AI (XAI) and Interpretable ML Papers and Resources
☆148Updated 3 years ago
Alternatives and similar repositories for awesome-xai:
Users that are interested in awesome-xai are comparing it to the libraries listed below
- Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems☆73Updated 2 years ago
- Papers and code of Explainable AI esp. w.r.t. Image classificiation☆197Updated 2 years ago
- A collection of research materials on explainable AI/ML☆1,437Updated last month
- A curated list of awesome Fairness in AI resources☆314Updated last year
- In this page, I will provide a list of survey papers on topics related to deep learning and its applications in various fields.☆114Updated 9 months ago
- Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human…☆72Updated 2 years ago
- 💡 Adversarial attacks on explanations and how to defend them☆302Updated 2 weeks ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆236Updated 4 months ago
- Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations☆567Updated last month
- 👽 Out-of-Distribution Detection with PyTorch☆262Updated this week
- A curated list of awesome academic research, books, code of ethics, data sets, institutes, newsletters, principles, podcasts, reports, to…☆58Updated this week
- Responsible AI knowledge base☆98Updated last year
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆283Updated last year
- ☆565Updated last year
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆60Updated last year
- List of relevant resources for machine learning from explanatory supervision☆154Updated 5 months ago
- 👋 Xplique is a Neural Networks Explainability Toolbox☆653Updated 2 months ago
- Explainable AI with Python, published by Packt☆157Updated last year
- A repository for summaries of recent explainable AI/Interpretable ML approaches☆68Updated 2 months ago
- A curated list of trustworthy deep learning papers. Daily updating...☆345Updated this week
- OmniXAI: A Library for eXplainable AI☆882Updated 4 months ago
- 🎓 Advice and resources for thriving and surviving graduate school☆333Updated 2 months ago
- Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are look…☆418Updated 3 months ago
- ☆186Updated 3 years ago
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆120Updated 6 months ago
- Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty i…☆257Updated 3 months ago
- PyTorch code corresponding to my blog series on adversarial examples and (confidence-calibrated) adversarial training.☆68Updated last year
- 😎 A curated list of awesome practical Metric Learning and its applications☆482Updated last year
- Training and evaluating NBM and SPAM for interpretable machine learning.☆76Updated last year
- All about explainable AI, algorithmic fairness and more☆107Updated last year