chanwkimlab Goto Github PK
Name: Chanwoo Kim
Type: User
Company: University of Washington
Bio: Ph.D. student in CS at UW @suinleelab
Location: Seattle, WA
Blog: https://chanwoo.kim
Name: Chanwoo Kim
Type: User
Company: University of Washington
Bio: Ph.D. student in CS at UW @suinleelab
Location: Seattle, WA
Blog: https://chanwoo.kim
Tools for training explainable models using attribution priors.
Sequential regulatory activity predictions with deep convolutional neural networks.
Config files for my GitHub profile.
Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering
dart-fss-example
Upload test
R package with data sets and clustering results from Duò et al (F1000Research 2018)
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
An amortized approach for calculating local Shapley value explanations
GAT (Generic Genome-Wide Association Tool)
Estimate local SNP heritability and genetic covariance from GWAS summary association statistics.
Ressources of histopathology datasets
LD Score Regression (LDSC)
MarcoPolo is a clustering-free approach to the exploration of bimodally expressed genes along with group information in single-cell RNA-seq data
Phenome-wide association study of the major histocompatibility complex region in the Korean population identifies novel association signals
A repository for explaining feature attributions and feature interactions in deep neural networks.
DeepSEA implements in PyTorch
Regional Heritability Analysis is a software package for estimating regional heritability of small genomic segments.
R package to identify genes with differential distributions in single-cell RNA-seq
R package for analyzing single-cell RNA-seq data
A game theoretic approach to explain the output of any machine learning model.
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
Code and documentation for experiments in the TreeExplainer paper
A playbook for systematically maximizing the performance of deep learning models.
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.