This repo contains all the notebooks mentioned in blog.

Start here

CNN image style transfer 🎨.

Code of our recently published attack FDA: Feature Disruptive Attack. Colab Notebook: https://colab.research.google.com/drive/1WhkKCrzFq5b7SNrbLUfdLVo5-WK5mLJh

Implementation of Deep-learning techniques in pytorch

Jupyter Notebooks made in Google Colaboratory for my projects.

Implementation of the fast neural style transfer algorithm on Keras. Includes Jupyter notebooks, python script and web app.

A set of ML/DL project notebooks.

This repository contains blogs and notebooks related to my learning of neural style transfer

Jupyter notebooks for image variation generation with Flux.1 Redux dev. Able to run on Google Colab Free Tier

A Colab notebook that makes easier to run YuE-exllamav2 on Google Collaboratory

A jupyter notebook describing the theory behind a working Style Transfer ai example.

CNN image style transfer 🎨

In this notebook, we’ll recreate a style transfer method that is outlined in the paper, Image Style Transfer Using Convolutional Neural Networks, by Gatys in PyTorch.

Implementation of Neural Style Transfer based on the original paper by Gatys et al., with adaptations from Deep Learning with Python by François Chollet. This notebook allows you to experiment with style transfer, content reconstruction, and style reconstruction to explore and gain a deeper understanding of how Neural Style Transfer (NST) works.

This Python notebook presents a Neural Style Transfer project, an image processing technique based on neural networks. It allows you to combine the styles of a source image (style reference image) with the content of a target image to generate a new image.