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3d-cyclegan-pytorch-medimaging

Pytorch pipeline for 3D image domain translation using Cycle-Generative-Adversarial-networks, without paired examples.

3d-mri-brain-tumor-segmentation-using-autoencoder-regularization

Pytorch implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. [https://arxiv.org/abs/1810.11654]

3d-patch-based-keras-unet

A modular, 3D unet built in keras for 3D medical image segmentation. Also includes useful classes for extracting and training on 3D patches for data augmentation or memory efficiency.

3d-resnets-pytorch

3D ResNets for Action Recognition (CVPR 2018)

3dcnn

3D convolutional neural network for video classification

3dunetcnn

Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

adverserial-autoencoder-keras

Keras Implementation of adverserial autoencoder (AAE)

amazing-semantic-segmentation

Amazing Semantic Segmentation on Tensorflow && keras (include FCN, UNet, SegNet, PSPNet, PAN, RefineNet, DeepLabV3, DeepLabV3+, DenseASPP, BiSegNet)

amr-benchmark

A Unified Implementation of Several Baseline Deep Learning Models for Automatic Modulation Recognition

anatomy_modality_decomposition

SDNet Keras implementation

ares

A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.

automated-manual-comparison

Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.

automatic-modulation-classification

Some Code for Master Thesis - Research on Deep Learning Based Modulation Recognition Technologies

awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

awesome-federated-learning

Federated Learning Library: https://fedml.ai

awesome-pytorch-chinese

【干货】史上最全的PyTorch学习资源汇总

bidet

This is the official pytorch implementation for paper: BiDet: An Efficient Binarized Object Detector, which is accepted by CVPR2020.

blockchain

区块链 - 中文资源

boundary-loss

Official code for "Boundary loss for highly unbalanced segmentation", runner-up for best paper award at MIDL 2019. Extended version in MedIA, volume 67, January 2021.

brain-segmentation

Deep learning based skull stripping and FLAIR abnormality segmentation in brain MRI using U-Net

brain_mask

3D deep convolutional neural network based segmentation and brain masking tool for multi-modal brain MRI

brain_tumor_segmentation

brats2018-tumor-segmentation

We provide DeepMedic and 3D UNet in pytorch for brain tumore segmentation. We also integrate location information with DeepMedic and 3D UNet by adding additional brain parcellation with original MR images.

capslayer

CapsLayer: An advanced library for capsule theory

cotr

[MICCAI2021] CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation

covid-19-cxr

covid-19-detection

The implementation of "A Weakly-supervised Framework for COVID-19 Classification and Lesion Localization from Chest CT"

csuthesis

中南大学研究生学位论文LaTex模版（博士和硕士）

cutmiximagedatagenerator_for_keras

Keras implementation of CutMix regularizer

d-cca

A Decomposition-based Canonical Correlation Analysis for High-dimensional Datasets (JASA-20 paper)