suinleelab / attributionpriorsView external linksLinks
Tools for training explainable models using attribution priors.
☆125Mar 19, 2021Updated 4 years ago
Alternatives and similar repositories for attributionpriors
Users that are interested in attributionpriors are comparing it to the libraries listed below
Sorting:
- Python implementation for evaluating explanations presented in "On the (In)fidelity and Sensitivity for Explanations" in NeurIPS 2019 for…☆25Feb 23, 2022Updated 3 years ago
- A repository for explaining feature attributions and feature interactions in deep neural networks.☆193Jan 16, 2022Updated 4 years ago
- Perform inference on algorithm-agnostic variable importance☆24Sep 25, 2025Updated 4 months ago
- Fast Axiomatic Attribution for Neural Networks (NeurIPS*2021)☆16May 12, 2023Updated 2 years ago
- Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" ht…☆128Mar 22, 2021Updated 4 years ago
- A lightweight implementation of removal-based explanations for ML models.☆59Jul 19, 2021Updated 4 years ago
- Explaining neural decisions contrastively to alternative decisions.☆25Mar 18, 2021Updated 4 years ago
- ☆13Nov 29, 2021Updated 4 years ago
- ☆19Sep 30, 2022Updated 3 years ago
- Implementation of GP-BART algorithm.☆17Dec 28, 2023Updated 2 years ago
- Code for Evaluating Explanations for Reading Comprehension with Realistic Counterfactuals.☆18Apr 25, 2021Updated 4 years ago
- ☆17Apr 14, 2021Updated 4 years ago
- ☆39Apr 29, 2023Updated 2 years ago
- [DEPRECATED] An R package to pre-process bulk EKG data and detect the physiological peaks☆12Aug 22, 2016Updated 9 years ago
- Successive Halving and Hyperband in the mlr3 ecosystem☆18Jul 23, 2025Updated 6 months ago
- Multi-Calibration & Multi-Accuracy Boosting for R☆33Jul 24, 2025Updated 6 months ago
- General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.☆39Jun 21, 2022Updated 3 years ago
- Feature Interaction Interpretability via Interaction Detection☆34Jun 12, 2023Updated 2 years ago
- This is the official implementation for the paper "Learning to Scaffold: Optimizing Model Explanations for Teaching"☆19May 19, 2022Updated 3 years ago
- Code and documentation for experiments in the TreeExplainer paper☆190Oct 4, 2019Updated 6 years ago
- SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks☆14Mar 2, 2023Updated 2 years ago
- This package is archived and further developed under the name RFSurrogates. In this R-package functions are provided to select important …☆11Jul 27, 2023Updated 2 years ago
- This repository contains the implementation of Label-Free XAI, a new framework to adapt explanation methods to unsupervised models. For m…☆25Sep 21, 2022Updated 3 years ago
- Deep Large-Scale Inference UsingKnockoffs☆11Nov 4, 2021Updated 4 years ago
- Reticulate wrapper for hyperopt☆11Jan 14, 2020Updated 6 years ago
- Heterogeneous effects analysis of conjoint experiments using BART☆10Sep 6, 2023Updated 2 years ago
- Diagnostics for confounding of time-varying and other joint exposures☆11Dec 12, 2022Updated 3 years ago
- Explanation Optimization☆13Oct 16, 2020Updated 5 years ago
- Models for explainable recommendation.☆12Jan 19, 2024Updated 2 years ago
- Learn to find the notes on your new musical instrument☆10May 21, 2020Updated 5 years ago
- Tree interpretation methods based on ranger☆13Jan 30, 2026Updated 2 weeks ago
- Fit phenomenological sigmoid and impulse curves with priors to improve interpretability☆10May 29, 2024Updated last year
- A rule-based aproach to explain the output of any machine learning model☆15Apr 4, 2024Updated last year
- For calculating global feature importance using Shapley values.☆284Feb 9, 2026Updated last week
- Benchmark for LP-relaxed robustness verification of ReLU-networks☆42Apr 24, 2019Updated 6 years ago
- Context Selection for Embedding Models☆27Nov 2, 2017Updated 8 years ago
- NeurIPS 2021 | Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information☆34Dec 13, 2021Updated 4 years ago
- An attribution prior for deep learning based on Fourier transforms☆12Dec 17, 2021Updated 4 years ago
- ☆13Jul 2, 2025Updated 7 months ago