iancovert / shapley-regression
For calculating Shapley values via linear regression.
☆66Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for shapley-regression
- An amortized approach for calculating local Shapley value explanations☆92Updated 11 months ago
- Neural Additive Models (Google Research)☆67Updated 3 years ago
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆43Updated 2 years ago
- A benchmark for distribution shift in tabular data☆44Updated 5 months ago
- Neural Additive Models (Google Research)☆26Updated 6 months ago
- A repo for transfer learning with deep tabular models☆101Updated last year
- OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)☆88Updated 3 months ago
- A lightweight implementation of removal-based explanations for ML models.☆57Updated 3 years ago
- TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks☆56Updated last week
- For calculating global feature importance using Shapley values.☆253Updated this week
- An Empirical Framework for Domain Generalization In Clinical Settings☆28Updated 2 years ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆60Updated last year
- CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox☆42Updated 3 months ago
- Influence Estimation for Gradient-Boosted Decision Trees☆25Updated 5 months ago
- ☆22Updated 5 years ago
- Local explanations with uncertainty 💐!☆39Updated last year
- Unified Model Interpretability Library for Time Series☆44Updated 10 months ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆76Updated last year
- ☆12Updated 2 years ago
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆79Updated last year
- A collection of algorithms of counterfactual explanations.☆50Updated 3 years ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆40Updated 2 years ago
- Model Agnostic Counterfactual Explanations☆87Updated 2 years ago
- Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems☆31Updated last year
- ☆25Updated last year
- A package for conformal prediction with conditional guarantees.☆47Updated 4 months ago
- ☆25Updated 6 months ago
- A Data-Centric library providing a unified interface for state-of-the-art methods for hardness characterisation of data points.☆23Updated this week
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆57Updated last year
- Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.☆17Updated last year