Joeycho's starred repositories
segment-anything-2
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
connected-components-3d
Connected components on discrete and continuous multilabel 3D & 2D images. Handles 26, 18, and 6 connected variants; periodic boundaries (4, 8, & 6)
surface-distance
Library to compute surface distance based performance metrics for segmentation tasks.
Journal-Club
The RISE Journal Club aims to create a friendly environment to discuss the latest state-of-the-art papers in the areas of medical image analysis, AI and computer vision. The moderators will briefly introduce the paper and then moderate a discussion where everyone is welcome to provide their thoughts and ask any questions on the paper.
TotalSegmentator
Tool for robust segmentation of >100 important anatomical structures in CT and MR images
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
info-nce-pytorch
PyTorch implementation of the InfoNCE loss for self-supervised learning.
torchmetrics
Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.
pytorch-msssim
Fast and differentiable MS-SSIM and SSIM for pytorch.
pytorch-lightning
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
ml-glossary
Machine learning glossary
roughness-index-distance
Roughness Index and Roughness Distance for Benchmarking Medical Segmentation
ModelsGenesis
[MICCAI 2019] [MEDIA 2020] Models Genesis
deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
awesome-gan-for-medical-imaging
Awesome GAN for Medical Imaging
segmentation_models.pytorch
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
react-planner
:pencil2: A React Component for plans design. Draw a 2D floorplan and navigate it in 3D mode.
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
php-d3-lib
Library for implementing d3.js functionality via PHP class
raytracing.github.io
Main Web Site (Online Books)