edshkim98
PhD student in Medical Imaging @UCL AI research intern @AstraZeneca
University College London(UCL)London
edshkim98's Stars
facebookresearch/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
huggingface/pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
diff-usion/Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
lucidrains/imagen-pytorch
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
Project-MONAI/MONAI
AI Toolkit for Healthcare Imaging
openvinotoolkit/anomalib
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
hustvl/Vim
[ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
torch-points3d/torch-points3d
Pytorch framework for doing deep learning on point clouds.
Tencent/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.
amirhossein-kz/Awesome-Diffusion-Models-in-Medical-Imaging
Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)
The-AI-Summer/self-attention-cv
Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.
ge-xing/SegMamba
SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation
gudovskiy/cflow-ad
Official PyTorch code for WACV 2022 paper "CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows"
csguoh/Awesome-Mamba-in-Low-Level-Vision
A paper list of recent mamba efforts for low-level vision.
xmindflow/Awesome_Mamba
Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis
zhoudaxia233/EfficientUnet-PyTorch
A PyTorch 1.0 Implementation of Unet with EfficientNet as encoder
josephcslater/array_to_latex
bymi15/react-edit-text
Simple 'click to edit' editable text component for React
BioMedAI-UCSC/InverseSR
[Early Accepted at MICCAI 2023] Pytorch Code of "InverseSR: 3D Brain MRI Super-Resolution Using a Latent Diffusion Model"
moucheng2017/EM-BPL-Semi-Seg
[MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation
rmsouza01/CD-Deep-Cascade-MR-Reconstruction
This repository seeks to investigate the usage of Cascades of Convolutional Neural Networks for Magnetic Resonance Image reconstruction.
edshkim98/GAGCN
GAGCN: Generative Adversarial Graph Convolutional Network for 3D Point Cloud Semantic Segmentation
edshkim98/3DPointcloud
A repository for various 3D point cloud networks including PointNet, DGCNN and PointCNN...
wanderingweights/Weight_Fix_Networks
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
mobarakol/DARES_MedICSS2024
ICSResearch/LP