mini-pw / 2022L-WB-XAI-tabularLinks
Case Study course for DS studies in Spring 2021/22
☆8Updated 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
Sorting:
- 💡 Adversarial attacks on explanations and how to defend them☆319Updated 6 months ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆247Updated 10 months ago
- ☆10Updated 8 months ago
- Package for Explanations of Remote Sensing Imagery☆13Updated last month
- Introduction to exploratory data analysis course for Mathematics and data analysis studies in Spring 2022/2023☆16Updated last year
- Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations☆604Updated 4 months ago
- ☆482Updated 10 months ago
- bayesian lime☆17Updated 10 months ago
- Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human…☆73Updated 2 years ago
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆82Updated 2 years ago
- OmniXAI: A Library for eXplainable AI☆932Updated 11 months ago
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,413Updated 3 weeks ago
- For calculating global feature importance using Shapley values.☆271Updated this week
- A list of (post-hoc) XAI for time series☆149Updated 9 months ago
- A collection of research materials on explainable AI/ML☆1,513Updated 3 months ago
- LOcal Rule-based Exlanations☆51Updated last year
- Experiments on Tabular Data Models☆277Updated 2 years ago
- Papers and code of Explainable AI esp. w.r.t. Image classificiation☆212Updated 2 years ago
- Interesting resources related to XAI (Explainable Artificial Intelligence)☆831Updated 3 years ago
- ☆202Updated 4 years ago
- All about explainable AI, algorithmic fairness and more☆110Updated last year
- Counterfactual Explanations for Multivariate Time Series Data☆33Updated last year
- [NeurIPS 2024] CoSy is an automatic evaluation framework for textual explanations of neurons.☆16Updated last week
- This repository provides details of the experimental code in the paper: Instance-based Counterfactual Explanations for Time Series Classi…☆20Updated 4 years ago
- GLIME is a post-hoc explanation method which is proved to be much more stable and faithful than LIME.☆14Updated 8 months ago
- Effector - a Python package for global and regional effect methods☆110Updated last week
- Interpretability and explainability of data and machine learning models☆1,703Updated 4 months ago
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆68Updated 2 years ago
- RuleCOSI is a machine learning package that combine and simplifies tree ensembles and generates a single rule-based classifier that is sm…☆9Updated 5 months ago
- The repositiory for open source solutions designed and deleoped during NLP course conducted by Anna Wróblewska @ Warsaw University of Tec…☆9Updated last year