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Multiple notebooks which allow the use of various machine learning methods to generate or modify multimedia content

A curated list of awesome Diffusion notebooks, tools, software, tutorials and resources.

🎨 An authorial set of fundamental Python recipes on Creative Coding and Computer Art.

Artistic visualization of vector fields created with Matplotlib and Jupyter Notebook

Colab notebooks for GAN tutorials.

An IPython notebook explaining the concepts of Variational Autoencoders and building one using Keras to generate new faces.

This repository contains notebooks showcasing various generative models, including DCGAN and VAE for anime face generation, an Autoencoder for converting photos to sketches, a captioning model using an attention mechanism for an image caption generator, and more.

Gen AI uses GANs to generate CIFAR-10-like images. The custom GAN model comprises a Generator and a Discriminator. Users can train the model and generate images using Jupyter Notebooks or Google Colab.

Notebook for running Stable Diffusion – the Generative AI alternative to Dall-E and Midjourney – on IPUs

A simple jupyter notebook that will help you fine tune your own Instruct Pix2Pix Stable Diffusion model.

A collection of Haskell examples / experiments written as IHaskell notebooks.

Utils and Notebooks for building deep-learing model with superpaper

Pixel Sorting algorithm implemented in Python with NumPy.

This library contains executable notebooks (colab) with a Generative Art of Deep Neural Networks

A collection of Jupyter notebooks that can be used to generate images using various Stable Diffusion checkpoints

An AI algorithm to stylize one image with another. Repository consists of two notebooks: basic NST implementation from scratch and Fast-NST pre-defined sample code for comparison.