axkoenig / autoencoderLinks
A Convolutional Autoencoder in PyTorch Lightning
☆16Updated 10 months ago
Alternatives and similar repositories for autoencoder
Users that are interested in autoencoder are comparing it to the libraries listed below
Sorting:
- This repo contains the 3D implementation of the commonly used attention mechanism for imaging.☆46Updated 2 years ago
- A toy example of VAE-regression network☆72Updated 5 years ago
- 3D Bayesian Convolutional Neural Network (BCNN) for Credible Geometric Uncertainty. Code for the paper: https://arxiv.org/abs/1910.10793☆62Updated 2 years ago
- The Tensorflow, Keras implementation of Swin-Transformer and Swin-UNET☆120Updated last year
- Medical Imaging, Denoising Autoencoder, Sparse Denoising Autoencoder (SDAE) End-to-end and Layer Wise Pretraining☆47Updated 6 years ago
- 1D and 2D Segmentation Models with options such as Deep Supervision, Guided Attention, BiConvLSTM, Autoencoder, etc.☆32Updated 11 months ago
- ☆34Updated 3 years ago
- Calculating fractal dimensions with box-counting☆29Updated 4 years ago
- Custom Loss Functions in Keras☆28Updated 4 years ago
- Keras Implementation of U-Net, R2U-Net, Attention U-Net, Attention R2U-Net.☆119Updated 5 years ago
- Tensorflow implementation of Residual U-Net☆31Updated 2 years ago
- ☆85Updated 5 years ago
- ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Re…☆230Updated 4 years ago
- Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study☆185Updated 2 years ago
- BT-Unet: A self-supervised learning framework☆33Updated 2 years ago
- Tensorflow implementations of ConvNeXt V1 + V2 models w/ weights, including conversion and evaluation scripts.☆11Updated 7 months ago
- Deep Convolutional Autoencoders for reconstructing magnetic resonance images of the healthy brain☆39Updated 4 years ago
- Unofficial PyTorch implementation for f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks.☆35Updated 3 years ago
- This repository introduces different Explainable AI approaches and demonstrates how they can be implemented with PyTorch and torchvision.…☆30Updated 2 years ago
- ☆37Updated 3 years ago
- This repository contains code used to train U-Net on a multi-class segmentation dataset.☆59Updated 2 years ago
- Multi-Input Deep Neural Networks with PyTorch-Lightning - Combine Image and Tabular Data☆66Updated last year
- Residual Auto Encoder...☆22Updated 6 years ago
- Pytorch implementaion of UNet, Deep ResUnet and ONet models for the brain tumor segmentation task☆71Updated 2 years ago
- UNet++, UNet, SegNet and DeepLabv3 implemented in Keras for MoNuSeg dataset☆18Updated 5 years ago
- An unsupervised (or self-supervised) loss function for binary image segmentation (TensorFlow)☆69Updated 3 years ago
- VAE, Variational Autoencoder, Deep Learning, Medical Imaging☆21Updated 3 years ago
- Collection of different Unet Variant suchas VggUnet, ResUnet, DenseUnet, Unet. AttUnet, MobileNetUnet, NestedUNet, R2AttUNet, R2UNet, SEU…☆101Updated 2 years ago
- Pytorch Bayesian UNet model for segmentation and uncertainty prediction☆24Updated 2 years ago
- ☆122Updated 2 years ago