suinleelab Goto Github PK
Name: Lee Lab @ UW Allen School
Type: Organization
Bio: Explainable AI for Biology and Precision Medicine
Location: University of Washington, Seattle, USA
Name: Lee Lab @ UW Allen School
Type: Organization
Bio: Explainable AI for Biology and Precision Medicine
Location: University of Washington, Seattle, USA
Implementation of the AIControl paper in Julia 1.0
Tools for training explainable models using attribution priors.
Contrastive Corpus Attribution (COCOA)
Cost-Aware AI
Repository for reproducing contrastiveVI results.
Repository for the paper "An Adversarial Approach for the Robust Classification of Pneumonia from Chest Radiographs"
Code for paper "AI for radiographic COVID-19 detection selects shortcuts over signal"
Reference implementation of "Learning Deep Attribution Priors Based On Prior Knowledge"
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
Data for "A deep profile of gene expression across 18 human cancers"
Code for paper "A deep profile of gene expression across 18 human cancers"
Experiments for DeepSHAP paper.
Code for the paper "Estimating Conditional Mutual Information for Dynamic Feature Selection"
Code for paper "Uncovering expression signatures of synergistic drug response in acute myeloid leukemia by explaining AI ensembles"
Code for paper "Transferable representations of single-cell transcriptomic data"
This repository provides the dataset and code of Interpretable machine learning prediction of all-cause mortality.
A deep generative model for single-cell methylation data
Implementation of the moment matching contrastive VAE
Transparent medical image AI via an image–text foundation model grounded in medical literature
Pathway Communities
A repository for explaining feature attributions and feature interactions in deep neural networks.
Code for paper "Principled feature attribution for unsupervised gene expression analysis"
Repository for the PHASE (PHysiologicAl Signal Embeddings) project.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.