Colab notebook running Stable Difussion XL.
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Updated
Sep 26, 2023 - Jupyter Notebook
Colab notebook running Stable Difussion XL.
notebooks implementing the different libraries of Synthetic Data Vault (SDV) for generating synthetic data
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow
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.
Readable Implement of GANs with PyTorch. One model, one notebook.
Contains colab notebooks and files pertaining to the course "Generative Deep Learning with TensorFlow" on Coursera.
Collection and implementation of a variety of machine learning code examples (notebooks and Python scripts) and projects.
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.
We propose a Seed-Augment-Train/Transfer (SAT) framework that contains a synthetic seed image dataset generation procedure for languages with different numeral systems using freely available open font file datasets
An IPython notebook explaining the concepts of Variational Autoencoders and building one using Keras to generate new faces.
Some recent state-of-the-art generative models in ONE notebook: (MIX-)?(GAN|WGAN|BigGAN|MHingeGAN|AMGAN|StyleGAN|StyleGAN2)(\+ADA|\+CR|\+EMA|\+GP|\+R1|\+SA|\+SN)*
🌌The Jupyter Notebook behind ThisNightSkyDoesNotExist - Train a StyleGan2-ADA on a custom image dataset scrapped from Instagram!
Easy-to-follow Pytorch tutorial Notebook for Multi-Agent-Diverse-Generative-Adversarial-Networks
An extensive library of AI resources including books, courses, papers, guides, articles, tutorials, notebooks, AI field advancements and more.
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