kdd-lab / XAI-Lib
XAI Library
☆19Updated 9 months ago
Alternatives and similar repositories for XAI-Lib:
Users that are interested in XAI-Lib are comparing it to the libraries listed below
- Model-agnostic posthoc calibration without distributional assumptions☆42Updated last year
- MetaQuantus is an XAI performance tool to identify reliable evaluation metrics☆34Updated last year
- Python scripts to generate Kandinsky- Figures, Patterns and Series (Images and Captions)☆19Updated 4 years ago
- Updated code base for GlanceNets: Interpretable, Leak-proof Concept-based models☆25Updated last year
- Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming☆20Updated last year
- NoiseGrad (and its extension NoiseGrad++) is a method to enhance explanations of artificial neural networks by adding noise to model weig…☆22Updated last year
- Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI☆54Updated 2 years ago
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆35Updated last year
- ☆33Updated 2 years ago
- A python library to discover and mitigate biases in machine learning models and datasets☆20Updated last year
- ☆13Updated last year
- B-LRP is the repository for the paper How Much Can I Trust You? — Quantifying Uncertainties in Explaining Neural Networks☆18Updated 2 years ago
- CAIPI turns LIMEs into trust!☆12Updated 4 years ago
- Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…☆18Updated 3 years ago
- ☆18Updated last year
- A benchmark for distribution shift in tabular data☆52Updated 10 months ago
- A python package for semi-structured deep distributional regression☆22Updated 2 years ago
- Official repository for the ICLR 2023 paper "A Learning Based Hypothesis Test for Harmful Covariate Shift"☆12Updated last year
- Python package for (conditional) independence testing and statistical functions related to causality.☆28Updated 3 months ago
- Explaining dimensionality results using SHAP values☆54Updated 3 months ago
- 👋 Overcomplete is a Vision-based SAE Toolbox☆51Updated last month
- Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.☆49Updated last year
- LENS Project☆48Updated last year
- Python library for analyzing the internal structure of deep neural networks.☆18Updated last year
- TabDPT: Scaling Tabular Foundation Models☆26Updated this week
- Testing Language Models for Memorization of Tabular Datasets.☆33Updated 2 months ago
- Achieve error-rate fairness between societal groups for any score-based classifier.☆17Updated last year
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆66Updated 5 months ago
- Perform inference on algorithm-agnostic variable importance in Python☆20Updated 2 years ago
- A lightweight implementation of removal-based explanations for ML models.☆59Updated 3 years ago