Stars
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
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 rela…
[MICCAI 2023] MedNeXt is a fully ConvNeXt architecture for 3D medical image segmentation.
A simple ConvNext model for 2D or 3D image classification using NIfTI files
https://www.youtube.com/playlist?list=PLHae9ggVvqPgyRQQOtENr6hK0m1UquGaG
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
3D U-Net model for volumetric semantic segmentation written in pytorch
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source …
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
The swiss army knife of lossless video/audio editing
This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.
An open-source deep learning framework for tooth enumeration and segmentation in intraoral photos
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
Simple batch script that automates blocking apps from accessing internet using windows inbuilt firewall
Jupyter notebooks for the code samples of the book "Deep Learning with Python"