axkoenig / autoencoderLinks
A Convolutional Autoencoder in PyTorch Lightning
☆17Updated last year
Alternatives and similar repositories for autoencoder
Users that are interested in autoencoder are comparing it to the libraries listed below
Sorting:
- Multi-Input Deep Neural Networks with PyTorch-Lightning - Combine Image and Tabular Data☆66Updated 2 years ago
- "pip install unet": PyTorch Implementation of 1D, 2D and 3D U-Net architecture.☆190Updated last year
- 3D Bayesian Convolutional Neural Network (BCNN) for Credible Geometric Uncertainty. Code for the paper: https://arxiv.org/abs/1910.10793☆65Updated 2 years ago
- ☆33Updated 4 years ago
- 1D and 2D Segmentation Models with options such as Deep Supervision, Guided Attention, BiConvLSTM, Autoencoder, etc.☆32Updated last year
- This repo contains the 3D implementation of the commonly used attention mechanism for imaging.☆50Updated 3 years ago
- Pytorch Deep Clustering with Convolutional Autoencoders implementation☆108Updated 5 years ago
- A toy example of VAE-regression network☆74Updated 5 years ago
- Calculating fractal dimensions with box-counting☆30Updated 5 years ago
- ☆130Updated 3 years ago
- Migrate to PyTorch. Re-implementation of Bayesian Convolutional Neural Networks (BCNNs)☆59Updated 5 years ago
- A simple guide to a vanilla CNN for regression, potentially useful for engineering applications.☆48Updated 5 years ago
- ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Re…☆232Updated 5 years ago
- This repository contains code used to train U-Net on a multi-class segmentation dataset.☆60Updated 2 years ago
- Pytorch Bayesian UNet model for segmentation and uncertainty prediction☆30Updated 3 years ago
- Demo of Multi-scale Deep Convolutional Neural Networks☆54Updated 3 years ago
- The Tensorflow, Keras implementation of Swin-Transformer and Swin-UNET☆124Updated last year
- Semantic organ segmentation for hyperspectral images.☆45Updated last month
- Deep Convolutional Autoencoders for reconstructing magnetic resonance images of the healthy brain☆39Updated 4 years ago
- Structure tensor 2D and 3D implementation for Python.☆59Updated 2 months ago
- A library that helps you split image into small, overlappable patches, and merge patches into original image.☆229Updated last year
- A Python package for sparse representations and dictionary learning, including matching pursuit, K-SVD and applications.☆92Updated 9 months ago
- ☆88Updated 6 years ago
- Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study☆186Updated 2 years ago
- Code for the master thesis "Probabilistic Regression using Conditional Generative Adversarial Networks"☆36Updated 4 months ago
- Pytorch implementations of various types of autoencoders☆65Updated 7 years ago
- VAE, Variational Autoencoder, Deep Learning, Medical Imaging☆21Updated 3 years ago
- Models Supported: Inception [v1, v2, v3, v4], SE-Inception, Inception_ResNet [v1, v2], SE-Inception_ResNet (1D and 2D version with DEMO f…☆37Updated 4 years ago
- NumPy and Tensorflow implementation of the Multidimensional Contrast Limited Adaptive Histogram Equalization (MCLAHE) procedure☆49Updated 3 years ago
- Bayesian U-Net for Keras☆11Updated 6 years ago