edshkim98

3DMultiviewCNN

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

3DPointcloud

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

AGCN

Adversarial Graph Convolutional Network for 3D point cloud segmentation

ChannelwiseAttention

Implementation of various channel-wise attention modules

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

GAGCN

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

ImageLabelerPyQT

Image labelling tool using PyQT. Originally developed to label image restoration tasks.

IR_FaceTrackingwithGAN

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

LocalDiffusion-Hallucination

Official code for 'Tackling Structural Hallucination in Image Translation with Local Diffusion' (ECCV'24 Oral)

ProtectiveBehaviourRecognition

Emopain dataset

edshkim98/GAGCN

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

edshkim98/LocalDiffusion-Hallucination

Official code for 'Tackling Structural Hallucination in Image Translation with Local Diffusion' (ECCV'24 Oral)

edshkim98/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

edshkim98/3DPointcloud

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

edshkim98/3DMultiviewCNN

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

edshkim98/ChannelwiseAttention

Implementation of various channel-wise attention modules

edshkim98/ProtectiveBehaviourRecognition

Emopain dataset

edshkim98/AGCN

Adversarial Graph Convolutional Network for 3D point cloud segmentation

edshkim98/IR_FaceTrackingwithGAN

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

edshkim98/NewsTopicClassification

Text classification using BBC dataset from Kaggle

edshkim98/OilSeepSegmentation

Transfer learning with deeplabv3-resnet101

edshkim98/OneClassAD

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

edshkim98/ImageLabelerPyQT

Image labelling tool using PyQT. Originally developed to label image restoration tasks.

edshkim98/MyLifeStory

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

edshkim98/AIChallenge_Lotte

Classification of household goods using ensemble approach.

edshkim98/anodetection

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

edshkim98/array_to_latex

edshkim98/Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models

edshkim98/Awesome-Diffusion-Models-in-Medical-Imaging

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

edshkim98/COMPMRI_python_demos

edshkim98/diffusion_distiller

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

edshkim98/HeatDiffusion

Code release for the paper Generative Modeling With Inverse Heat Dissipation

edshkim98/imagen-pytorch

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

edshkim98/kaggle_MNIST

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

edshkim98/LearnablePooling

Learnable-Pooling

edshkim98/mamba-minimal

Simple, minimal implementation of the Mamba SSM in one file of PyTorch.

edshkim98/medicaldiffusion

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

edshkim98/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.

edshkim98/UCI_Automobile

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

edshkim98/VisionMamba

Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model