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Name: Seunghoi Kim
Type: User
Company: University College London(UCL)
Bio: PhD student in Medical Imaging @UCL AI research intern @AstraZeneca
Location: London
Name: Seunghoi Kim
Type: User
Company: University College London(UCL)
Bio: PhD student in Medical Imaging @UCL AI research intern @AstraZeneca
Location: London
Implementation of Multi-view CNN for 3D classification evaluated on MoodleNet40 dataset.
A repository for various 3D point cloud networks including PointNet, DGCNN and PointCNN...
Adversarial Graph Convolutional Network for 3D point cloud segmentation
Classification of household goods using ensemble approach.
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
A collection of resources and papers on Diffusion Models
Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)
Implementation of various channel-wise attention modules
Data analytics on Denmark weather
🚀 PyTorch Implementation of "Progressive Distillation for Fast Sampling of Diffusion Models(v-diffusion)"
An official repository for 'A 3D Conditional Diffusion Model for Image Quality Transfer - An Application to Low-Field MRI' presented at NeurIPS DGM4H 2023
some simple face tracking using opencv
GAGCN: Generative Adversarial Graph Convolutional Network for 3D Point Cloud Semantic Segmentation
Code release for the paper Generative Modeling With Inverse Heat Dissipation
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
Image processing coursework on NonLocalMean using MATLAB
Long-term tracking of human skin areas on thermal images for monitoring vital signs
Used KNN (k=3), MLP(Multi-layer perceptron) and CNN
top 25% using SVM
Learnable-Pooling
Simple, minimal implementation of the Mamba SSM in one file of PyTorch.
Medical Diffusion: This repository contains the code to our paper Medical Diffusion: Denoising Diffusion Probabilistic Models for 3D Medical Image Synthesis
Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.
This repository seeks to investigate the usage of Cascades of Convolutional Neural Networks for Magnetic Resonance Image reconstruction.
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.