132 Open source projects that are alternatives of or similar to Magic-VNet

The implementation of 3D-UNet using PyTorch

U-Net for biomedical image segmentation

RESTful PACS server with plugins

Attention Unet model with post process for retina optic disc segmention

3D点云语义分割汇总，所有顶会论文以及一些arxiv上的最新论文

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 were used to develop and evaluate the performance of the proposed method.

Implementation of Resnet-50 with and without CBAM in PyTorch v1.8. Implementation tested on Intel Image Classification dataset from https://www.kaggle.com/puneet6060/intel-image-classification.

Reproduce some methods in semi-supervised papers.

Topic clustering library built on Transformer embeddings and cosine similarity metrics.Compatible with all BERT base transformers from huggingface.

The aim of this repository is to show a baseline model for text classification by implementing a LSTM-based model coded in PyTorch. In order to provide a better understanding of the model, it will be used a Tweets dataset provided by Kaggle.

Pytorch implementation of Paper by Google Research - Representation Learning for Information Extraction from Form-like Documents.

ViNet Pushing the limits of Visual Modality for Audio Visual Saliency Prediction

A deep learning framework for detecting lesions in CT scans from Deep Lesion dataset

PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN

MRQy is a quality assurance and checking tool for quantitative assessment of magnetic resonance imaging (MRI) data.

[CVPR 2021] Few-shot 3D Point Cloud Semantic Segmentation

Paper list of deep learning on point clouds.

🍀 Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)

An unofficial toy implementation for NVAE 《A Deep Hierarchical Variational Autoencoder》

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

Official PyTorch and MATLAB implementations of our MICCAI 2020 paper "FocusLiteNN: High Efficiency Focus Quality Assessment for Digital Pathology"

[AAAI 2020] Code release for "Domain Conditioned Adaptation Network" https://arxiv.org/abs/2005.06717

A clean and lucid implementation of cycleGAN using PyTorch

Highly efficient PyTorch version of the Semi-hard Triplet loss ⚡️

A PyTorch Implementation of "Optimization of Molecules via Deep Reinforcement Learning".

Intensity normalization of multi-channel MRI images using the method proposed by Nyul et al. 2000

Awesome Pytorch Tutorials

Code for the ACL 19 paper "Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards"

TubeTK is an open-source toolkit for the segmentation, registration, and analysis of tubes and surfaces in images, developed by Kitware, Inc.

Pytorch implementation of the Loc2Vec with some modifications for speed

[TPAMI Under Submission] Generative Multi-Label Zero-Shot Learning

Its a social networking chat-bot trained on Reddit dataset . It supports open bounded queries developed on the concept of Neural Machine Translation. Beware of its being sarcastic just like its creator 😝 BDW it uses Pytorch framework and Python3.

The PyTorch re-implement of a 3D CNN Tracker to extract coronary artery centerlines with state-of-the-art (SOTA) performance. (paper: 'Coronary artery centerline extraction in cardiac CT angiography using a CNN-based orientation classifier')

Meta-repository of screening mammography classifiers

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

Implementation of DeepMind's Deep Generative Model of Radar (DGMR) https://arxiv.org/abs/2104.00954

Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity

A little viewer for visualizing medical images and respective labels

An implementation of the research paper "Retina Blood Vessel Segmentation Using A U-Net Based Convolutional Neural Network"

Medical Image Vision Operators, such as RoIAlign, DCNv1, DCNv2 and NMS for both 2/3D images.

This repo is official PyTorch implementation of MobileHumanPose: Toward real-time 3D human pose estimation in mobile devices(CVPRW 2021).

Surgical Image Guidance and Healthcare Toolkit

Online Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)

Hierarchical probabilistic 3D U-Net, with attention mechanisms (—𝘈𝘵𝘵𝘦𝘯𝘵𝘪𝘰𝘯 𝘜-𝘕𝘦𝘵, 𝘚𝘌𝘙𝘦𝘴𝘕𝘦𝘵) and a nested decoder structure with deep supervision (—𝘜𝘕𝘦𝘵++). Built in TensorFlow 2.5. Configured for voxel-level clinically significant prostate cancer detection in multi-channel 3D bpMRI scans.

PyTorch Implementation for Neural Graph Collaborative Filtering

Sequential patch-based segmentation for medical image

Building an ACL tear detector to spot knee injuries from MRIs with PyTorch (MRNet)

Implement of Dynamic Model Pruning with Feedback with pytorch

Executables for ROMEO unwrapping for Linux, Windows and Mac OSX

A tool for precisely placing 3D landmarks on 3D facial scans based on the paper "Multi-view Consensus CNN for 3D Facial Landmark Placement"

Source code for our "TitleStylist" paper at ACL 2020

🔥 OpenPose api wrapper in PyTorch.

Code and dataset for the IJCAI 2021 paper "Document-level Relation Extraction as Semantic Segmentation".

A pipeline to extract vessels from MR images and perform analysis.

PyTorch implementation of EfficientNetV2 family

Code for CheXpert Challenge 2019 Top 1 && Top 2 solution

Implementation of Sparse Shift Layer and Active Shift Layer (3D, 4D, 5D tensors) for PyTorch(CPU,GPU)

Pytorch Implementation of Depth Map Prediction from a Single Image using a Multi-Scale Deep Network

Specialized tools for MRI

[ECCV 2020] Official Pytorch implementation for "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification". SOTA results for ZSL and GZSL