edshkim98

GAGCN

GAGCN: Generative Adversarial Graph Convolutional Network for 3D Point Cloud Semantic Segmentation

3DPointcloud

A repository for various 3D point cloud networks including PointNet, DGCNN and PointCNN...

3DMultiviewCNN

Implementation of Multi-view CNN for 3D classification evaluated on MoodleNet40 dataset.

ChannelwiseAttention

Implementation of various channel-wise attention modules

ProtectiveBehaviourRecognition

Emopain dataset

DiffusionIQT

An official repository for 'A 3D Conditional Diffusion Model for Image Quality Transfer - An Application to Low-Field MRI' presented at NeurIPS DGM4H 2023

IR_FaceTrackingwithGAN

Long-term tracking of human skin areas on thermal images for monitoring vital signs

NewsTopicClassification

Text classification using BBC dataset from Kaggle

OilSeepSegmentation

Transfer learning with deeplabv3-resnet101

OneClassAD

One-class learning project for anomaly detection using real industrial dataset

AGCN

Adversarial Graph Convolutional Network for 3D point cloud segmentation

ImageProcessing-NonLocalMean

Image processing coursework on NonLocalMean using MATLAB

MyLifeStory

✨ Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com

AIChallenge_Lotte

Classification of household goods using ensemble approach.

anodetection

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

array_to_latex

Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models

Awesome-Diffusion-Models-in-Medical-Imaging

Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)

COMPMRI_python_demos

diffusion_distiller

🚀 PyTorch Implementation of "Progressive Distillation for Fast Sampling of Diffusion Models(v-diffusion)"

facetracking_opencv

some simple face tracking using opencv

HeatDiffusion

Code release for the paper Generative Modeling With Inverse Heat Dissipation

imagen-pytorch

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

kaggle_MNIST

Used KNN (k=3), MLP(Multi-layer perceptron) and CNN

kaggle_Titanic

top 25% using SVM

medicaldiffusion

Medical Diffusion: This repository contains the code to our paper Medical Diffusion: Denoising Diffusion Probabilistic Models for 3D Medical Image Synthesis

MedicalNet

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.

MR_KspaceSample

This repository seeks to investigate the usage of Cascades of Convolutional Neural Networks for Magnetic Resonance Image reconstruction.

pix2pix_implementation

image to image transition from raw thermal images to rgb images

UCI_Automobile

I used GBM, XGBoost, Linear and Ridge regression to predict 'normalized-losses'