VGG-19 Signature Verification using Transfer Learning

Introduce and implement the Neural Style

A web application that classifies an uploaded image into a disaster type, utilizing Angular

Neural style transfer is a process of transferring style from an image to another using deep learning.

This repo is about Transfer Learning Implementation using pretrained models(VGG16 & VGG19)

Este projeto contém dois classificadores de imagens. O primeiro utilizando extração de características e o segundo utilizando fine-tunning.

Prediction of cancer using Image Classification of Chest Xray scans.

My university final year project 'An Implementation of Multiple Improvements to Neural Style Transfer.'

Grayscale image colorization using a U-Net CNN (with VGG-19) and perceptual loss.

An implementation of Neural Style transfer using keras and VGG19 model

Links to my works, where a variety of generative models are implemented using TensorFlow and PyTorch. Among the implemented models are Autoencoder, VAE, GAN, Pix2Pix, among others.

Transfer style of an image to another using Convolutional Neural Networks.

Deep Learning Neural Style Transfer TensorFlow Assignment

Implementation of 2D Neural Style Transfer in a manner proposed in an original paper, along with optimization for preserving content image colors.

Implementation of Image Style Transfer using PyTorch

This is the repository for the course Computational Imaging project with the subject: Combination of Convolutional Neural Network and Markov Random Field for image synthesis.

A datathon to build a model to scan the image of an eye of a patient and find if the gender of the patient is male or female.

Transfer Learning- VGG19 vs ResNet50 on Celebrity Faces Data