There are 4 repositories under vgg19 topic.
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Tensorflow implementation of the SRGAN algorithm for single image super-resolution
ImageNet pre-trained models with batch normalization for the Caffe framework
VggML (ICPR 2018, Beijing)
A program that can add an artistic touch to any image.
VGG16 Net implementation from PyTorch Examples scripts for ImageNet dataset
Multiclass image classification using Convolutional Neural Network
Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation
Neural Style implementation in PyTorch! :art:
Generative Adversarial Network for single image super-resolution in high content screening microscopy images
Implementation of style transfer by tensorflow, for detail please see the paper "Image Style Transfer Using Convolutional Neural Networks"(CVPR2016)
The VGG16 and VGG19 networks in caffe with jupyter notebook
Tensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)
Implementation of the paper : Deep image analogy
Pre-trained VGG-Net Model for image classification using tensorflow
Fast and Accurate User constrained Thumbnail Generation using Adaptive Convolutions. | ICASSP 2019 [ORAL]
Optimal deep texture generation and style transfer based on Eric Risser's paper
Transferring the style of one image to the contents of another image, using PyTorch and VGG19.
Deepdream experiment implemented using Keras and VGG19 convnet
Multi-Sensor Image (infrared and visible) Fusion using deep learning framework, Principal Component Analysis, Discrete Wavelet Transform
This code mainly implement the paper ' Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization ' by TensorFlow
Multi-Sensor Image (infrared and visible) Fusion using deep learning framework, Principal Component Analysis, Discrete Wavelet Transform
Implement lenet and vgg19 by tensorflow with dataset mnist using tfrecord
Image classification models on CIFAR10 dataset using pytorch
Repository containing scripts to train and test a neural network whose goal is to detect presence of COVID-19
My PyTorch implementation of CNNs. All networks in this repository are using CIFAR-100 dataset for training.
Implementation of 'merge' architecture for generating image captions from paper "What is the Role of Recurrent Neural Networks (RNNs) in an Image Caption Generator?" using Keras. Dataset used is Flickr8k available on Kaggle.
In this repository you will find everything you need to know about Convolutional Neural Network, and how to implement the most famous CNN architectures in both Keras and PyTorch. (I'm working on implementing those Architectures using MxNet and Caffe)
PyTorch version of the paper: "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
Models Supported: VGG11, VGG13, VGG16, VGG16_v2, VGG19 (1D and 2D versions with DEMO for Classification and Regression).
Independent Research Project on Automatic Detection Of Lumpy Skin Disease Using Deep Learning Techniques.
📝 Tensorflow.js pretrained model of VGG-19