inouye-lab / feature-shiftLinks
☆12Updated 4 years ago
Alternatives and similar repositories for feature-shift
Users that are interested in feature-shift are comparing it to the libraries listed below
Sorting:
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆48Updated 3 years ago
- For calculating Shapley values via linear regression.☆73Updated 4 years ago
- A benchmark for distribution shift in tabular data☆56Updated last year
- A fairness library in PyTorch.☆32Updated last year
- ☆62Updated 4 years ago
- An amortized approach for calculating local Shapley value explanations☆105Updated 2 years ago
- A repo for transfer learning with deep tabular models☆105Updated 2 years ago
- A package for conformal prediction with conditional guarantees.☆67Updated 4 months ago
- A Data-Centric library providing a unified interface for state-of-the-art methods for hardness characterisation of data points.☆26Updated 11 months ago
- Neural Additive Models (Google Research)☆74Updated 4 years ago
- Inference code for "TabDPT: Scaling Tabular Foundation Models on Real Data"☆73Updated this week
- Multiple-Output Quantile Regression☆16Updated 4 years ago
- Model-agnostic posthoc calibration without distributional assumptions☆42Updated 2 years ago
- pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation☆142Updated 3 weeks ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆74Updated 3 years ago
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆88Updated 2 years ago
- Welcome to Uncertainty Metrics! The goal of this library is to provide an easy-to-use interface for both measuring uncertainty across Goo…☆24Updated 5 years ago
- A curated list of papers and resources about the distribution shift in machine learning.☆124Updated 2 years ago
- Local explanations with uncertainty 💐!☆42Updated 2 years ago
- Vector Quantile Regression☆19Updated 10 months ago
- Repository for Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification (NeurIPS 2024)☆44Updated last year
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆72Updated last year
- Domain adaptation toolbox compatible with scikit-learn and pytorch☆155Updated 3 weeks ago
- Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"☆177Updated last year
- Codebase for information theoretic shapley values to explain predictive uncertainty.This repo contains the code related to the paperWatso…☆22Updated last year
- An Empirical Framework for Domain Generalization In Clinical Settings☆30Updated 3 years ago
- ☆12Updated 3 years ago
- Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.☆76Updated last year
- Implementations of methods proposed in the paper "Conformal Prediction Sets for Graph Neural Networks"☆15Updated 2 years ago
- This repository contains the implementation of Dynamask, a method to identify the features that are salient for a model to issue its pred…☆76Updated 3 years ago