An IPython notebook explaining the concepts of Variational Autoencoders and building one using Keras to generate new faces.
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Updated
Feb 16, 2020 - Jupyter Notebook
An IPython notebook explaining the concepts of Variational Autoencoders and building one using Keras to generate new faces.
Utils and Notebooks for building deep-learing model with superpaper
Artistic visualization of vector fields created with Matplotlib and Jupyter Notebook
Colab notebooks for GAN tutorials.
A curated list of awesome Diffusion notebooks, tools, software, tutorials and resources.
This library contains executable notebooks (colab) with a Generative Art of Deep Neural Networks
🎨 An authorial set of fundamental Python recipes on Creative Coding and Computer Art.
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.
A collection of Haskell examples / experiments written as IHaskell notebooks.
Notebook for running Stable Diffusion – the Generative AI alternative to Dall-E and Midjourney – on IPUs
Multiple notebooks which allow the use of various machine learning methods to generate or modify multimedia content
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.
Pixel Sorting algorithm implemented in Python with NumPy.
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A simple jupyter notebook that will help you fine tune your own Instruct Pix2Pix Stable Diffusion model.
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.
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