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Discover 14 open source projects
Showing 1-14 of 14 projects
ddbourgin/numpy-ml
A comprehensive machine learning library in Python with implementations of various algorithms and models.
openai/DALL-E
A PyTorch package for the discrete VAE used in DALL·E, an AI model for generating images from text prompts.
openai/jukebox
A generative model for creating music, implemented in Python with PyTorch.
AntixK/PyTorch-VAE
A collection of Variational Autoencoders (VAEs) implemented in PyTorch for deep learning research and applications.
wiseodd/generative-models
A collection of generative machine learning models like GANs and VAEs in PyTorch and TensorFlow.
pkuliyi2015/multidiffusion-upscaler-for-automatic1111
Plugin for Stable Diffusion WebUI that optimizes large image generation through tiled diffusion and VAE techniques.
hwalsuklee/tensorflow-generative-model-collections
Collection of popular generative models in TensorFlow for developers interested in AI tools
clementchadebec/benchmark_VAE
A benchmark for evaluating different implementations of Variational Autoencoders (VAEs) in PyTorch.
PacktPublishing/Advanced-Deep-Learning-with-Keras
Advanced Deep Learning with Keras book for learning deep learning concepts using the Keras framework
rosinality/vq-vae-2-pytorch
An open-source PyTorch implementation of the VQ-VAE-2 model for generating diverse high-fidelity images.
bojone/vae
A simple implementation of VAE (Variational Autoencoder) and CVAE (Conditional Variational Autoencoder) using Keras for AI/ML developers.
jmtomczak/intro_dgm
Introductory examples and tutorials on deep generative modeling techniques like VAEs, GANs, and score-based models.
jaanli/variational-autoencoder
Variational autoencoder implementation in TensorFlow and PyTorch, including inverse autoregressive flow.
alexandre01/deepsvg
A PyTorch library for deep learning with SVG data, enabling the generation of vector graphics animations.
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