rosenty Goto Github PK

attention-is-all-you-need-paper

Original transformer paper: Implementation of Vaswani, Ashish, et al. "Attention is all you need." Advances in neural information processing systems. 2017.

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

bluelight

a browser-based DICOM viewer

codinginterviewchinese2

《剑指Offer》第二版源代码（Clone from: https://github.com/zhedahht/CodingInterviewChinese2）

conehead

A collapsed-cone convolution radiotherapy dose calculation algorithm

cs-book

计算机类常用电子书整理，并且附带下载链接，包括Java，Python，Linux，Go，C，C++，数据结构与算法，人工智能，计算机基础，面试，设计模式，数据库，前端等书籍

cvpr2023-papers-with-code

CVPR 2023 论文和开源项目合集

dcmrtstruct2nii

DICOM RT-Struct to mask

dicom-contour

dicom2ply

Convert DICOM-RT Structures to a PLY Point Cloud

dicom_3d_reconstruction

Based on VTK and python

dicomrt_tools

egsnrc

EGSnrc toolkit for Monte Carlo simulation of ionizing radiation — Trousse d'outils logiciels pour la simulation Monte Carlo du rayonnement ionisant

fluencemapopt

A nonconvex optimization approach to IMRT planning with dose-volume constraints

itk-vtk-viewer

2D / 3D web image, mesh, and point set viewer using itk.js and vtk.js

jikescu

即刻川大

lastxueshang

matrad_vmat_crash

nabn

platipy

Processing Library and Analysis Toolkit for Medical Imaging in Python

polydata_to_imagedata

Convert from vtkPolyData to vtkImageData.

pytorch-nested-unet

PyTorch implementation of UNet++ (Nested U-Net).

react-vtkjs-viewport

VTK.js image viewport component in React

rt-utils

A minimal Python library to facilitate the creation and manipulation of DICOM RTStructs.

simpleitk-notebooks

Jupyter notebooks for learning how to use SimpleITK

transunet

This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

transunet_pytorch

tutorials

MONAI Tutorials

update

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch