Discover 4pygmalion/EHAN Open Source project

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Created over 3 years ago
Updated over 3 years ago

4pygmalion

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Interpretable Prediction of Vascular Diseases from Electronic Health Records via Deep Attention Networks

ASC3

3ASC: variant prioritization tool leveraging multiple instance learning for rare Mendelian disease genomic testing

Jupyter Notebook

SimCLR

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

Jupyter Notebook

LaRa

LaRA: Large-language-model based semantic similarity for RAre disease

Python

Federated_learning-filtering-non-influence-data

Influence function with tensorflow v2

Jupyter Notebook

drag_data_for_developmental_delay

Classification model for children with developmental delay using game log touch data published JMIR serious game

Python

ppedge

privacy preserving edge computing

Jupyter Notebook

QuantizerKS

Searcher using DART database to Analyze the current Market

Python

implant-shell-type

Developing a deep learning model to predict the breast implant texture types with ultrasonographic image: feasibility study

Jupyter Notebook

Transformer_tf2

Transformer implemented in TensorFlow 2.x

Python

GAT_tensorflow

GAT with tensorflow 2.x implementation

Jupyter Notebook

4pygmalion.github.io

HTML

mlflow

Easy to deploy MLFlow(machine learning lifecycle system)

Shell

ln_invasion_breast_ca

Jupyter Notebook

Conditional-RETAIN

Interpretable Conditional Recurrent Neural Network published Journal of medical internet research : mhealth and uhealth

Python

on-demand-mobile-deeplearning

On-demand deep learning for mobile computing

Jupyter Notebook

Segmentation4Chest

Competion in Rayence Co for multiple segmentation of lung and cardia region

Jupyter Notebook

4pygmalion/EHAN

4pygmalion

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