iancovert / fastshap
An amortized approach for calculating local Shapley value explanations
☆94Updated last year
Alternatives and similar repositories for fastshap:
Users that are interested in fastshap are comparing it to the libraries listed below
- For calculating Shapley values via linear regression.☆66Updated 3 years ago
- Model-agnostic posthoc calibration without distributional assumptions☆42Updated last year
- A benchmark for distribution shift in tabular data☆48Updated 7 months ago
- Distributional Shapley: A Distributional Framework for Data Valuation☆30Updated 8 months ago
- A repo for transfer learning with deep tabular models☆100Updated last year
- Neural Additive Models (Google Research)☆26Updated 8 months ago
- Local explanations with uncertainty 💐!☆39Updated last year
- Beta calibration☆27Updated 11 months ago
- The repository contains lists of papers on causality and how relevant techniques are being used to further enhance deep learning era comp…☆88Updated last year
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆43Updated 2 years ago
- OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)☆90Updated last month
- ☆12Updated 2 years ago
- General fair regression subject to demographic parity constraint. Paper appeared in ICML 2019.☆15Updated 4 years ago
- Neural Additive Models (Google Research)☆68Updated 3 years ago
- A Data-Centric library providing a unified interface for state-of-the-art methods for hardness characterisation of data points.☆24Updated this week
- Survey for Distribution Shift☆18Updated 3 years ago
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆30Updated 5 years ago
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆35Updated 8 months ago
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆60Updated last year
- A lightweight implementation of removal-based explanations for ML models.☆57Updated 3 years ago
- Repository for our NeurIPS 2022 paper "Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off" and our NeurIPS 2023 paper…☆54Updated this week
- For calculating global feature importance using Shapley values.☆259Updated this week
- Implementation of Minimax Pareto Fairness framework☆21Updated 4 years ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆75Updated last year
- An Empirical Framework for Domain Generalization In Clinical Settings☆29Updated 2 years ago
- ☆22Updated 5 years ago
- ☆27Updated 5 months ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆40Updated 2 years ago
- ☆36Updated last year
- Pytorch library for model calibration metrics and visualizations as well as recalibration methods. In progress!☆69Updated 2 weeks ago