131 Open source projects that are alternatives of or similar to ViT-V-Net_for_3D_Image_Registration_Pytorch

TransMorph: Transformer for Unsupervised Medical Image Registration (PyTorch)

[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

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!

The code in this repository is from my master thesis. This project aims to automatically segment carotid from 3D MR brain image, and use the segmented carotid to extract Time-Activity-Curve from PET images. It mainly involves 3D image coregistration, vessel segmentation, partial valume correction.

LiBai(李白): A Toolbox for Large-Scale Distributed Parallel Training

A Python implementation of the model described in our publication "A convolutional neural network for common-coordinate registration of high-resolution histology images" developed principally for applications to registration of spatial transcriptomics image data.

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.

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

Implementation of Conv-based and Vit-based networks designed for CIFAR.

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

Modular Tracking Framework

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 EfficientNetV2 family

Official PyTorch Implementation of Long-Short Transformer (NeurIPS 2021).

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

Reproduce some methods in semi-supervised papers.

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

SOTA Semantic Segmentation Models in PyTorch

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

Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paper

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

Pytorch implementation of the Loc2Vec with some modifications for speed

🔥 OpenPose api wrapper in PyTorch.

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

Neuro-Symbolic Visual Question Answering on Sort-of-CLEVR using PyTorch

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

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

A PyTorch implementation of "MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer".

VNet for 3d volume segmentation

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

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

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

Official implement of Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer

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

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.

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

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

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.

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

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

The official code for “DocTr: Document Image Transformer for Geometric Unwarping and Illumination Correction”, ACM MM, Oral Paper, 2021.

PyTorch Implementation for Neural Graph Collaborative Filtering

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

The implementation of 3D-UNet using PyTorch

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Source code for our "TitleStylist" paper at ACL 2020

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Official PyTorch implementation of our ECCV 2022 paper "Sliced Recursive Transformer"

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A repo containing code covering various aspects of deep learning on Pytorch. Great for beginners and intermediate in the field

Pytorch implementation of Feature Generation for Long-Tail Classification by Rahul Vigneswaran, Marc T Law, Vineeth N Balasubramaniam and Makarand Tapaswi

This repository contains demos I made with the Transformers library by HuggingFace.

Nightlight: Astronomic Image Processing