pytorch_connectomics

Connectomics toolkit

A deep learning framework for automatic and semi-automatic segmentation of 3D image stacks in connectomics

PyTorch Connectomics: segmentation toolbox for EM connectomics

GitHub

171 stars
6 watching
77 forks
Language: Python
last commit: 4 months ago
Linked from 1 awesome list

biomedical-image-processingcomputer-visionconnectomicsdeep-learningmicroscopyneurosciencepytorchsegmentation

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
kaiyangzhou/dassl.pytorch A PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision. 1,217
zhanghang1989/pytorch-encoding A Python framework for building deep learning models with optimized encoding layers and batch normalization. 2,041
speedinghzl/pytorch-segmentation-toolbox Provides PyTorch implementations of deep learning models for semantic segmentation 772
media-smart/vedaseg A PyTorch-based toolbox for building and training semantic segmentation models 410
zijundeng/pytorch-semantic-segmentation Provides PyTorch implementations of various models and pipelines for semantic segmentation in deep learning. 1,724
4uiiurz1/pytorch-res2net Implementations of deep learning architectures using PyTorch for image classification tasks on various datasets. 112
isht7/pytorch-deeplab-resnet A deep learning model implementation of the DeepLab ResNet architecture for image segmentation tasks. 602
bloodaxe/pytorch-toolbelt A comprehensive Python library with PyTorch extensions for rapid prototyping and machine learning model development. 1,520
mateuszbuda/brain-segmentation-pytorch A PyTorch implementation of the U-Net architecture for brain MRI segmentation using pre-trained weights and a specific deep learning algorithm 719
dmarnerides/pydlt A PyTorch-based toolbox for building and training deep learning models with ease. 204
jacobgil/pytorch-pruning This project provides a PyTorch implementation of pruning techniques to reduce the computational resources required for neural network inference. 875
mattmacy/vnet.pytorch A PyTorch implementation of V-Net for volumetric medical image segmentation 694
oyam/pytorch-dpns PyTorch implementation of a deep learning model for image segmentation 90
zsef123/efficientnets-pytorch A PyTorch implementation of EfficientNet for computer vision tasks 309
ethanhe42/u-net A convolutional neural network architecture for biomedical image segmentation 426