rehmanzafar / xai-iml-sotaLinks
Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.
☆74Updated 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:
- All about explainable AI, algorithmic fairness and more☆110Updated last year
- Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems☆74Updated 3 years ago
- Interesting resources related to XAI (Explainable Artificial Intelligence)☆837Updated 3 years ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆247Updated last year
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆84Updated 2 years ago
- 💡 Adversarial attacks on explanations and how to defend them☆327Updated 9 months ago
- A curated list of awesome Fairness in AI resources☆327Updated 2 years ago
- Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" ht…☆128Updated 4 years ago
- Data Shapley: Equitable Valuation of Data for Machine Learning☆279Updated last year
- Model Agnostic Counterfactual Explanations☆87Updated 2 years ago
- Extended Complexity Library in R☆57Updated 4 years ago
- Experiments on Tabular Data Models☆279Updated 2 years ago
- Papers and code of Explainable AI esp. w.r.t. Image classificiation☆215Updated 3 years ago
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)☆129Updated 4 years ago
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆70Updated 2 years ago
- A repo for transfer learning with deep tabular models☆104Updated 2 years ago
- Neural Additive Models (Google Research)☆28Updated last year
- Code and documentation for experiments in the TreeExplainer paper☆187Updated 5 years ago
- Meaningful Local Explanation for Machine Learning Models☆41Updated 2 years ago
- Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true cla…☆245Updated 2 years ago
- ☆602Updated 2 years ago
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆294Updated last year
- For calculating global feature importance using Shapley values.☆275Updated last week
- CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox☆45Updated 3 months ago
- Hands-on tutorial on ML Fairness☆72Updated 2 years ago
- This repository is all about papers and tools of Explainable AI☆36Updated 5 years ago
- List of relevant resources for machine learning from explanatory supervision☆159Updated 2 months ago
- A lightweight implementation of removal-based explanations for ML models.☆58Updated 4 years ago
- Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.119…☆106Updated last year
- Python implementation for evaluating explanations presented in "On the (In)fidelity and Sensitivity for Explanations" in NeurIPS 2019 for…☆25Updated 3 years ago