rehmanzafar / xai-iml-sotaLinks
Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.
☆73Updated 2 years ago
Alternatives and similar repositories for xai-iml-sota
Users that are interested in xai-iml-sota are comparing it to the libraries listed below
Sorting:
- Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems☆74Updated 3 years ago
- All about explainable AI, algorithmic fairness and more☆109Updated last year
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆82Updated 2 years ago
- Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" ht…☆127Updated 4 years ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆247Updated 10 months ago
- 💡 Adversarial attacks on explanations and how to defend them☆318Updated 6 months ago
- ☆12Updated 2 years ago
- Local explanations with uncertainty 💐!☆40Updated last year
- List of relevant resources for machine learning from explanatory supervision☆157Updated 5 months ago
- Neural Additive Models (Google Research)☆70Updated 3 years ago
- Towards Automatic Concept-based Explanations☆159Updated last year
- Model Agnostic Counterfactual Explanations☆87Updated 2 years ago
- Meaningful Local Explanation for Machine Learning Models☆41Updated 2 years ago
- bayesian lime☆17Updated 10 months ago
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)☆128Updated 3 years ago
- Python implementation for evaluating explanations presented in "On the (In)fidelity and Sensitivity for Explanations" in NeurIPS 2019 for…☆25Updated 3 years ago
- The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"☆145Updated 2 years ago
- ☆33Updated last year
- A lightweight implementation of removal-based explanations for ML models.☆59Updated 3 years ago
- A repo for transfer learning with deep tabular models☆104Updated 2 years ago
- Codes for reproducing the contrastive explanation in “Explanations based on the Missing: Towards Contrastive Explanations with Pertinent…☆54Updated 6 years ago
- Modular Python Toolbox for Fairness, Accountability and Transparency Forensics☆77Updated 2 years ago
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆67Updated 2 years ago
- Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.119…☆105Updated last year
- Reliability diagrams visualize whether a classifier model needs calibration☆151Updated 3 years ago
- Papers and code of Explainable AI esp. w.r.t. Image classificiation☆212Updated 2 years ago
- This repository is all about papers and tools of Explainable AI☆36Updated 5 years ago
- Dataset and code for the CLEVR-XAI dataset.☆31Updated last year
- Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University☆44Updated 2 years ago
- Rule Extraction Methods for Interactive eXplainability☆43Updated 3 years ago