Alternatives and similar repositories for ImageDenoisingAutoencdoer

Users that are interested in ImageDenoisingAutoencdoer are comparing it to the libraries listed below

• tuvovan / Vision_Transformer_Keras
  Keras Implementation of Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)
  ☆97Updated 4 years ago
• nikhilroxtomar / Polyp-Segmentation-using-UNET-in-TensorFlow-2.0
  Implementing polyp segmentation using the U-Net and CVC-612 dataset.
  ☆67Updated 4 years ago
• nikhilroxtomar / UNet-Segmentation-in-Keras-TensorFlow
  UNet is a fully convolutional network(FCN) that does image segmentation. Its goal is to predict each pixel's class. It is built upon the …
  ☆145Updated 2 years ago
• RayXie29 / SENet_Keras
  Implementation of Squeeze-and-Excitiation Network on Keras
  ☆22Updated 6 years ago
• deadskull7 / One-Stop-for-COVID-19-Infection-and-Lung-Segmentation-plus-Classification
  ✋🏼🛑 This one stop project is a complete COVID-19 detection package comprising of 3 tasks: • Task 1 --> COVID-19 Classification • Task 2…
  ☆69Updated 4 years ago
• hasibzunair / adversarial-lesions
  [PMB'2020] Melanoma Detection using Adversarial Training and Deep Transfer Learning
  ☆32Updated 2 years ago
• nikhilroxtomar / Deep-Residual-Unet
  ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Re…
  ☆235Updated 5 years ago
• menon92 / WaveletCNN
  Wavelet CNN, Texture Classification in Keras
  ☆54Updated 3 years ago
• arp95 / cbam_cnn_architectures_image_classification
  Spatial and Channel Attention in CNN Architectures for Image Classification task
  ☆27Updated 5 years ago
• JudeWells / keras_anomaly_detection
  CNN based autoencoder combined with kernel density estimation for colour image anomaly detection / novelty detection. Built using Tensfor…
  ☆36Updated 5 years ago
• anindox8 / Ensemble-of-Multi-Scale-CNN-for-Dermatoscopy-Classification
  Fully supervised binary classification of skin lesions from dermatoscopic images using an ensemble of diverse CNN architectures (Efficien…
  ☆49Updated 4 years ago
• neemiasbsilva / regression-in-CNNs-applied-to-plant-leaf-count
  Regression in Convolutional Neural Network applied to Plant Leaf Count
  ☆19Updated 3 years ago
• ashishpatel26 / Vision-Transformer-Keras-Tensorflow-Pytorch-Examples
  Tensorflow implementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformer
  ☆109Updated 4 years ago
• samson6460 / tf_keras_gradcamplusplus
  tensorflow.keras implementation of gradcam and gradcam++
  ☆45Updated 2 years ago
• yingkaisha / keras-vision-transformer
  The Tensorflow, Keras implementation of Swin-Transformer and Swin-UNET
  ☆122Updated last year
• archsyscall / ConvNets-TensorFlow2
  ⛵️ Implementation a variety of popular Image Classification Models using TensorFlow2. [ResNet, GoogLeNet, VGG, Inception-v3, Inception-v4…
  ☆106Updated 5 years ago
• eclique / keras-gradcam
  Keras implementation of GradCAM.
  ☆115Updated 6 years ago
• Rohit-Kundu / Traditional-Feature-Extraction
  Feature Extraction is an integral step for Image Processing jobs. This repository contains the python codes for Traditional Feature Extra…
  ☆32Updated 4 years ago
• narendra09b / Image-Feature-Extraction-Transfer-Learning
  CNN Architectures : VGG, Resnet, InceptionNet, XceptionNet
  ☆10Updated 6 years ago
• sovit-123 / image-deblurring-using-deep-learning
  PyTorch implementation of image deblurring using deep learning. Use a simple convolutional autoencoder neural network to deblur Gaussian …
  ☆27Updated 2 years ago
• MarkusRosen / pytorch_multi_input_example
  Multi-Input Deep Neural Networks with PyTorch-Lightning - Combine Image and Tabular Data
  ☆66Updated last year
• rewasood / Super-Resolution-in-Medical-Imaging-using-SRGAN
  This repository contains code for the super resolution of medical images using SRGAN and other comparative models, such as SRCNN, SRResNe…
  ☆14Updated 7 years ago
• nitwmanish / Conditional-GANs-CGANs
  Jupyter Notebook on Conditional GAN
  ☆13Updated 6 years ago
• chintan1995 / Image-Denoising-using-Deep-Learning
  ☆79Updated 2 months ago
• isears / tf_clahe
  CLAHE implemented in python TF ops
  ☆25Updated 4 years ago
• zakariamejdoul / ground-truth-gan-segmentation
  In this project, we will apply the CGAN approach for ground truth segmentation operation of satellite images with OpenCV and Tensorflow.
  ☆19Updated 3 years ago
• teja0508 / Image_Preprocessing_Techniques
  image-preprocessing-techniques
  ☆74Updated 4 years ago
• dimitreOliveira / APTOS2019BlindnessDetection
  (Bronze medal - 163rd place - Top 6%) Repository for the "APTOS 2019 Blindness Detection" Kaggle competition.
  ☆34Updated 6 years ago
• hoang-ho / Skin_Lesions_Classification_DCNNs
  Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification
  ☆71Updated 5 years ago
• nikhilroxtomar / Semantic-Segmentation-Architecture
  A repository contains the code for various semantic segmentation in TensorFlow and PyTorch framework.
  ☆161Updated 4 months ago