Sulam-Group / h-shapLinks
h-Shap provides an exact, fast, hierarchical implementation of Shapley coefficients for image explanations
☆16Updated last year
Alternatives and similar repositories for h-shap
Users that are interested in h-shap are comparing it to the libraries listed below
Sorting:
- An Empirical Framework for Domain Generalization In Clinical Settings☆30Updated 3 years ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆41Updated 2 years ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆71Updated 2 years ago
- Data Augmentation with Variational Autoencoders (TPAMI)☆143Updated 3 years ago
- Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI☆54Updated 3 years ago
- Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"☆87Updated last year
- A Python package for intrinsic dimension estimation☆93Updated last month
- A lightweight implementation of removal-based explanations for ML models.☆59Updated 4 years ago
- ModelDiff: A Framework for Comparing Learning Algorithms☆59Updated 2 years ago
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆70Updated 2 years ago
- B-LRP is the repository for the paper How Much Can I Trust You? — Quantifying Uncertainties in Explaining Neural Networks☆18Updated 3 years ago
- Neural Additive Models (Google Research)☆73Updated 4 years ago
- A fairness library in PyTorch.☆32Updated last year
- Resources for Machine Learning Explainability☆86Updated last year
- My Research Journal covering various topics that interest me. They're mostly scattered notes and resources.☆34Updated 3 years ago
- Pacmed Labs experiments on uncertainty estimation, focusing on unbalanced tabular data and classification tasks.☆21Updated 4 years ago
- Efficient Computation and Analysis of Distributional Shapley Values (AISTATS 2021)☆22Updated 2 years ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 3 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆44Updated 4 months ago
- A repo for transfer learning with deep tabular models☆104Updated 2 years ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆248Updated last year
- For calculating Shapley values via linear regression.☆71Updated 4 years ago
- Code accompanying paper: Meta-Learning to Improve Pre-Training☆37Updated 3 years ago
- counterfactuals for magnetic resonance images of multiple sclerosis☆26Updated 4 years ago
- Model-agnostic posthoc calibration without distributional assumptions☆42Updated 2 years ago
- 👋 Code for the paper: "Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis" (NeurIPS 2021)☆30Updated 3 years ago
- Model Patching: Closing the Subgroup Performance Gap with Data Augmentation☆42Updated 4 years ago
- Combating hidden stratification with GEORGE☆64Updated 4 years ago
- Tools for training explainable models using attribution priors.☆124Updated 4 years ago