utwente-dmb / xai-papersLinks
☆19Updated last year
Alternatives and similar repositories for xai-papers
Users that are interested in xai-papers are comparing it to the libraries listed below
Sorting:
- For calculating Shapley values via linear regression.☆71Updated 4 years ago
- A repo for transfer learning with deep tabular models☆105Updated 2 years ago
- For calculating global feature importance using Shapley values.☆282Updated last week
- ☆10Updated 2 years ago
- A package for conformal prediction with conditional guarantees.☆67Updated 2 months ago
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆297Updated 2 years ago
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆85Updated 3 years ago
- Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty i…☆267Updated 2 months ago
- Benchmark time series data sets for PyTorch☆36Updated last year
- A lightweight implementation of removal-based explanations for ML models.☆59Updated 4 years ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆72Updated 2 years ago
- Multi-Objective Counterfactuals☆43Updated 3 years ago
- A Natural Language Interface to Explainable Boosting Machines☆68Updated last year
- CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox☆46Updated 6 months ago
- Neural Additive Models (Google Research)☆73Updated 4 years ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆252Updated last year
- Model Agnostic Counterfactual Explanations☆88Updated 3 years ago
- Missing data amputation and exploration functions for Python☆72Updated 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…☆255Updated 2 years ago
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆177Updated last year
- Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models☆173Updated last year
- Reliability diagrams visualize whether a classifier model needs calibration☆162Updated 3 years ago
- An amortized approach for calculating local Shapley value explanations☆104Updated 2 years ago
- Model-agnostic posthoc calibration without distributional assumptions☆42Updated 2 years ago
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆46Updated 3 years ago
- AutoML Two-Sample Test☆19Updated 3 years ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆130Updated 3 years ago
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆159Updated 3 years ago
- Interpret text data with LLMs (sklearn compatible).☆172Updated 2 months ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago