axkoenig / autoencoder

Related projects: ⓘ

• sandialabs / bcnn
  3D Bayesian Convolutional Neural Network (BCNN) for Credible Geometric Uncertainty. Code for the paper: https://arxiv.org/abs/1910.10793
  ☆59Updated last year
• duennbart / masterthesis_VAE
  VAE, Variational Autoencoder, Deep Learning, Medical Imaging
  ☆19Updated 2 years ago
• MarkusRosen / pytorch_multi_input_example
  Multi-Input Deep Neural Networks with PyTorch-Lightning - Combine Image and Tabular Data
  ☆65Updated 9 months ago
• AdrianArnaiz / Brain-MRI-Autoencoder
  Deep Convolutional Autoencoders for reconstructing magnetic resonance images of the healthy brain
  ☆35Updated 3 years ago
• asimniazi63 / semantic-segnmentation
  UNet++, UNet, SegNet and DeepLabv3 implemented in Keras for MoNuSeg dataset
  ☆16Updated 4 years ago
• yuta-hi / pytorch_bayesian_unet
  Migrate to PyTorch. Re-implementation of Bayesian Convolutional Neural Networks (BCNNs)
  ☆57Updated 4 years ago
• sladewinter / ConvLSTM
  ☆31Updated 3 years ago
• laugh12321 / 3D-Attention-Keras
  This repo contains the 3D implementation of the commonly used attention mechanism for imaging.
  ☆41Updated 2 years ago
• QingyuZhao / VAE-for-Regression
  A toy example of VAE-regression network
  ☆70Updated 4 years ago
• brian-xu / FractalDimension
  Calculating fractal dimensions with box-counting
  ☆20Updated 3 years ago
• elena-ecn / optuna-optimization-for-PyTorch-CNN
  Hyperparameter optimization study for a PyTorch CNN with Optuna.
  ☆13Updated 2 years ago
• seb5666 / cnn_gaussian_process_uncertainty
  Use Gaussian processes to estimate CNN classification uncertainty
  ☆12Updated 6 years ago
• awsaf49 / TransUNet-tf
  Tensorflow Implementation of TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation
  ☆36Updated 11 months ago
• TanyaChutani / Squeeze-and-Excitation-Networks-ResNet50-Tf2.0
  A Tensorflow 2.0 implementation of Squeeze and Excitation ResNet50 Networks (SEResNet)
  ☆14Updated 4 years ago
• junyuchen245 / Unsuprevised_Seg_via_CNN
  An unsupervised (or self-supervised) loss function for binary image segmentation.
  ☆68Updated 2 years ago
• yingkaisha / keras-vision-transformer
  The Tensorflow, Keras implementation of Swin-Transformer and Swin-UNET
  ☆116Updated 4 months ago
• danielenricocahall / Keras-Weighted-Hausdorff-Distance-Loss
  Custom Loss Functions in Keras
  ☆28Updated 3 years ago
• arbellea / LSTM-UNet
  ☆83Updated 4 years ago
• syorami / Autoencoders-Variants
  Pytorch implementations of various types of autoencoders
  ☆66Updated 5 years ago
• g2archie / UNet-MRI-Reconstruction
  ☆30Updated last year
• mabagheri / CGAN
  Keras implementation of Conditional Generative Adversarial Nets (CGAN)
  ☆17Updated 3 years ago
• NirmalElamon / UNet-model-for-Segmentation
  A transfer learning approach for segmenting images using U-Net model
  ☆36Updated 6 years ago
• nspunn1993 / BT-Unet
  BT-Unet: A self-supervised learning framework
  ☆29Updated last year
• moyiliyi / Residual-Attention-Network-for-Image-Classification-2D-3D-pytorch-implement
  2D and 3D(volume) verison of Residual Attention Network
  ☆17Updated 3 years ago
• tha-santacruz / BayesianUNet
  Pytorch Bayesian UNet model for segmentation and uncertainty prediction
  ☆16Updated 2 years ago
• Nishanksingla / UNet-with-ResBlock
  UNet architecture and Keras code with ResBlock for segmentation
  ☆27Updated 4 years ago
• naomifridman / Unet_Brain_tumor_segmentation
  Deep learning Brain tumor segmentation, BRATS2019
  ☆48Updated 4 years ago
• kartikgill / Autoencoders
  ☆11Updated 3 years ago
• hazratali / MI-GAN
  Code repo for paper on Generative Adversarial Networks for Medical Imaging
  ☆10Updated 4 years ago
• nsarang / ImageDenoisingAutoencdoer
  Denoising images with a Deep Convolutional Autoencoder - Implemented in Keras
  ☆35Updated 5 years ago