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Ho Heon Kim's Projects

asc3 icon asc3

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

conditional-retain icon conditional-retain

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

contoso-chat icon contoso-chat

This sample has the full End2End process of creating RAG application with Prompt Flow and AI Studio. It includes GPT 3.5 Turbo LLM application code, evaluations, deployment automation with AZD CLI, GitHub actions for evaluation and deployment and intent mapping for multiple LLM task mapping.

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[ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"

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

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Group Equivariant Convolutional Neural Networks

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

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

mlflow icon mlflow

Easy to deploy MLFlow(machine learning lifecycle system)

ppedge icon ppedge

privacy preserving edge computing

pytorch_influence_functions icon pytorch_influence_functions

This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence Functions by Pang Wei Koh and Percy Liang.

quantizerks icon quantizerks

Searcher using DART database to Analyze the current Market

resys4rd icon resys4rd

Disease-causing variant recommendation system for Rare diseases

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

stain_dino icon stain_dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

staingan icon staingan

StainGAN easy training & prediction repository (forked)

tcga icon tcga

The Cancer Genome Atlas

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