mini-pw / 2022L-WB-XAI-tabular
Case Study course for DS studies in Spring 2021/22
☆7Updated 2 years ago
Alternatives and similar repositories for 2022L-WB-XAI-tabular:
Users that are interested in 2022L-WB-XAI-tabular are comparing it to the libraries listed below
- 💡 Adversarial attacks on explanations and how to defend them☆310Updated 2 months ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆239Updated 6 months ago
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆82Updated 2 years ago
- Introduction to exploratory data analysis course for Mathematics and data analysis studies in Spring 2022/2023☆15Updated last year
- Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations☆584Updated 2 weeks ago
- Shapley Interactions and Shapley Values for Machine Learning☆322Updated this week
- A list of (post-hoc) XAI for time series☆112Updated 5 months ago
- Experiments on Tabular Data Models☆272Updated last year
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆62Updated 2 years ago
- Interesting resources related to XAI (Explainable Artificial Intelligence)☆820Updated 2 years ago
- A toolkit for quantitative evaluation of data attribution methods.☆39Updated this week
- Papers and code of Explainable AI esp. w.r.t. Image classificiation☆203Updated 2 years ago
- Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human…☆73Updated 2 years ago
- bayesian lime☆17Updated 6 months ago
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆123Updated 8 months ago
- All about explainable AI, algorithmic fairness and more☆107Updated last year
- For calculating Shapley values via linear regression.☆67Updated 3 years ago
- Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems☆74Updated 2 years ago
- LOcal Rule-based Exlanations☆51Updated last year
- For calculating global feature importance using Shapley values.☆264Updated last week
- ☆189Updated 3 years ago
- Official Code Implementation of the paper : XAI for Transformers: Better Explanations through Conservative Propagation☆63Updated 3 years ago
- ☆470Updated 6 months ago
- This repository provides details of the experimental code in the paper: Instance-based Counterfactual Explanations for Time Series Classi…☆18Updated 3 years ago
- 📖These are the concept drift datasets we made, and we open-source the data and corresponding interfaces. Welcome to use them for free if…☆27Updated 10 months ago
- Code associated with my Interpretable AI Book (https://www.manning.com/books/interpretable-ai)☆59Updated 3 years ago
- GLIME is a post-hoc explanation method which is proved to be much more stable and faithful than LIME.☆14Updated 4 months ago
- A repo for transfer learning with deep tabular models☆102Updated 2 years ago
- OmniXAI: A Library for eXplainable AI☆898Updated 6 months ago
- pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation☆116Updated this week