A lightweight, multithreaded Python package for sketching, column selection, leverage scores and related computations.
Apply Gram matrix and pretrained VGG19 Convolutional Neural Network to analyze and draw a picture in given artistic styles.
Image Style Transfer Using Convolutional Neural Networks : Implementation of the paper "A Neural Algorithm of Artistic Style" by Leon A. Gatys
Performance benchmark for Parmap and Parany
This repository contains my code solutions to Udacity's coursework 'Intro to Deep Learning with PyTorch'.
Original Implementation of Neural Style Transfer in pytorch. Inspection has been performed into the working of thereof by changing the hyperparameters.
Style transfer to style image
A PyTorch project implementing neural style transfer using the VGG19 model, combining the content of one image with the style of another for artistic transformations.
Season Style Transfer: Creating season changing video using Style Transfer
Image translation model using CycleGAN architecture coupled with perceptual style loss
Using VGG16 to extract content and style features in pictures and combining them to get a new picture
Implementation of Neural Style Transfer algorithm with PyTorch library
Use pre-trained VGG19 feature extractor section to apply style tranfer to given content image
This is python code for the implementation of the paper a Neural Algorithm for Artistic Style
Project based on Neural Style Transfer, implemented using a CycleGan architecture
A classic Neural Style Transfer utilizing InceptionV3 for extracting style and content image features!
CodeCanvas consist neural style transfer models to blend the content of one image with another, allowing users to create visually stunning compositions effortlessly.
Task: Neural Style Transfer. The implemented solution uses a CycleGan architecture.
Adding artistic features from a painting to an image using a convolutional neural network
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