Implementation of Neural Style Transfer algorithm with PyTorch library
-
Updated
Dec 15, 2021 - Python
Implementation of Neural Style Transfer algorithm with PyTorch library
Project based on Neural Style Transfer, implemented using a CycleGan architecture
Task: Neural Style Transfer. The implemented solution uses a CycleGan architecture.
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.
Original Implementation of Neural Style Transfer in pytorch. Inspection has been performed into the working of thereof by changing the hyperparameters.
Apply Gram matrix and pretrained VGG19 Convolutional Neural Network to analyze and draw a picture in given artistic styles.
A lightweight, multithreaded Python package for sketching, column selection, leverage scores and related computations.
Add a description, image, and links to the gram-matrix topic page so that developers can more easily learn about it.
To associate your repository with the gram-matrix topic, visit your repo's landing page and select "manage topics."