#计算机科学#The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on deal...
A framework for data augmentation for 2D and 3D image classification and segmentation
nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that wer...
[MICCAI 2023] MedNeXt is a fully ConvNeXt architecture for 3D medical image segmentation.
#计算机科学#PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Open-Sora: 完全开源的高效复现类Sora视频生成方案
Segment Anything in Medical Images
U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation
This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.
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.
Mamba SSM architecture
Pytorch implementation of "LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation"
(ACM TOMM) This is the official code repository for "VM-UNet: Vision Mamba UNet for Medical Image Segmentation".
#计算机科学#MONAI 是一个基于 PyTorch 的开源框架,用于医疗影像深度学习,是 PyTorch 生态系统的一部分。 其目标是:
Tool for robust segmentation of >100 important anatomical structures in CT and MR images
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
#自然语言处理#为 Jax、PyTorch 和 TensorFlow 打造的先进的自然语言处理
Official code for "FeatUp: A Model-Agnostic Frameworkfor Features at Any Resolution" ICLR 2024
#计算机科学#Unsupervised Learning for Image Registration
[ECCV2024] API code for T-Rex2: Towards Generic Object Detection via Text-Visual Prompt Synergy
0 条讨论