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Getting started Developer guides Code examples Computer Vision Natural Language Processing Structured Data Timeseries Generative Deep Learning Denoising Diffusion Implicit Models A walk through latent space with Stable Diffusion 3 DreamBooth Denoising Diffusion Probabilistic Models Teach StableDiffusion new concepts via Textual Inversion Fine-tuning Stable Diffusion Variational AutoEncoder GAN overriding Model.train_step WGAN-GP overriding Model.train_step Conditional GAN CycleGAN Data-efficient GANs with Adaptive Discriminator Augmentation Deep Dream GauGAN for conditional image generation PixelCNN Face image generation with StyleGAN Vector-Quantized Variational Autoencoders A walk through latent space with Stable Diffusion Neural style transfer Neural Style Transfer with AdaIN GPT2 Text Generation with KerasHub GPT text generation from scratch with KerasHub Text generation with a miniature GPT Character-level text generation with LSTM Text Generation using FNet Music Generation with Transformer Models Drug Molecule Generation with VAE WGAN-GP with R-GCN for the generation of small molecular graphs Density estimation using Real NVP Audio Data Reinforcement Learning Graph Data Quick Keras Recipes Keras 3 API documentation Keras 2 API documentation KerasTuner: Hyperparam Tuning KerasHub: Pretrained Models KerasRS
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Code examples
Computer Vision Natural Language Processing Structured Data Timeseries Generative Deep Learning Denoising Diffusion Implicit Models A walk through latent space with Stable Diffusion 3 DreamBooth Denoising Diffusion Probabilistic Models Teach StableDiffusion new concepts via Textual Inversion Fine-tuning Stable Diffusion Variational AutoEncoder GAN overriding Model.train_step WGAN-GP overriding Model.train_step Conditional GAN CycleGAN Data-efficient GANs with Adaptive Discriminator Augmentation Deep Dream GauGAN for conditional image generation PixelCNN Face image generation with StyleGAN Vector-Quantized Variational Autoencoders A walk through latent space with Stable Diffusion Neural style transfer Neural Style Transfer with AdaIN GPT2 Text Generation with KerasHub GPT text generation from scratch with KerasHub Text generation with a miniature GPT Character-level text generation with LSTM Text Generation using FNet Music Generation with Transformer Models Drug Molecule Generation with VAE WGAN-GP with R-GCN for the generation of small molecular graphs Density estimation using Real NVP Audio Data Reinforcement Learning Graph Data Quick Keras Recipes
► Code examples / Generative Deep Learning

Generative Deep Learning

Image generation

★
V3
Denoising Diffusion Implicit Models
★
V3
A walk through latent space with Stable Diffusion 3
V2
DreamBooth
V2
Denoising Diffusion Probabilistic Models
V2
Teach StableDiffusion new concepts via Textual Inversion
V2
Fine-tuning Stable Diffusion
V3
Variational AutoEncoder
V3
GAN overriding Model.train_step
V3
WGAN-GP overriding Model.train_step
V3
Conditional GAN
V3
CycleGAN
V3
Data-efficient GANs with Adaptive Discriminator Augmentation
V3
Deep Dream
V3
GauGAN for conditional image generation
V3
PixelCNN
V2
Face image generation with StyleGAN
V2
Vector-Quantized Variational Autoencoders
V3
A walk through latent space with Stable Diffusion

Style transfer

V3
Neural style transfer
V2
Neural Style Transfer with AdaIN

Text generation

★
V3
GPT2 Text Generation with KerasHub
V3
GPT text generation from scratch with KerasHub
V3
Text generation with a miniature GPT
V3
Character-level text generation with LSTM
V2
Text Generation using FNet

Audio generation

V3
Music Generation with Transformer Models

Graph generation

V3
Drug Molecule Generation with VAE
V2
WGAN-GP with R-GCN for the generation of small molecular graphs

Other

V2
Density estimation using Real NVP

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