suinleelab/deep_attribution_priors

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suinleelab/deep_attribution_priors

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Reference implementation of "Learning Deep Attribution Priors Based On Prior Knowledge"

path_explain

A repository for explaining feature attributions and feature interactions in deep neural networks.

Jupyter Notebook

treeexplainer-study

Code and documentation for experiments in the TreeExplainer paper

attributionpriors

Tools for training explainable models using attribution priors.

Jupyter Notebook

contrastiveVI

MONET

Transparent medical image AI via an image–text foundation model grounded in medical literature

cxr_covid

Code for paper "AI for radiographic COVID-19 detection selects shortcuts over signal"

Jupyter Notebook

vit-shapley

DeepProfile

DeepProfile framework, which learns a variational autoencoder (VAE) network from a vast quantity of publicly available gene expression samples and uses the learned network to encode a low-dimensional representation (LDR) for predicting complex phenotypes

IMPACT

This repository provides the dataset and code of Interpretable machine learning prediction of all-cause mortality.

Jupyter Notebook

cxr_adv

Repository for the paper "An Adversarial Approach for the Robust Classification of Pneumonia from Chest Radiographs"

AIControl.jl

Implementation of the AIControl paper in Julia 1.0

shapley_algorithms

Jupyter Notebook

DeepSHAP

Experiments for DeepSHAP paper.

Jupyter Notebook

MD-AD

Jupyter Notebook

PAUSE

Code for paper "Principled feature attribution for unsupervised gene expression analysis"

Jupyter Notebook

coai

Jupyter Notebook

express

Code for paper "Uncovering expression signatures of synergistic drug response in acute myeloid leukemia by explaining AI ensembles"

Jupyter Notebook

MM-cVAE

Implementation of the moment matching contrastive VAE

HD-AE

Code for paper "Transferable representations of single-cell transcriptomic data"

Jupyter Notebook

derm_audit

deepprofile-study

Code for paper "A deep profile of gene expression across 18 human cancers"

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PHASE

Repository for the PHASE (PHysiologicAl Signal Embeddings) project.

Jupyter Notebook

DIME

Code for the paper "Estimating Conditional Mutual Information for Dynamic Feature Selection"

Useful_Datasets_CSE_527

Jupyter Notebook

ENABLAge

Jupyter Notebook

methylVI

A deep generative model for single-cell methylation data

cl-explainability

Contrastive Corpus Attribution (COCOA)

contrastiveVI-reproducibility

Repository for reproducing contrastiveVI results.

Jupyter Notebook