There are 9 repositories under vae topic.
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
A Collection of Variational Autoencoders (VAE) in PyTorch.
Collection of generative models in Tensorflow
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
Advanced Deep Learning with Keras, published by Packt
Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
Vector Quantized VAEs - PyTorch Implementation
VPoser: Variational Human Pose Prior
Experiments for understanding disentanglement in VAE latent representations
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations
List of Molecular and Material design using Generative AI and Deep Learning
A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).
Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch
PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349
PyTorch implementation of VQ-VAE by Aäron van den Oord et al.
Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
Tensorflow implementation of variational auto-encoder for MNIST
Dataset to assess the disentanglement properties of unsupervised learning methods
Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation :star2:
This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
Optimus: the first large-scale pre-trained VAE language model
Pytorch implementation of BERT4Rec and Netflix VAE.
Tacotron 2 - PyTorch implementation with faster-than-realtime inference modified to enable cross lingual voice cloning.
Recurrent Variational Autoencoder that generates sequential data implemented with pytorch
Official implementation of "DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents"
Pytorch implementation of Hyperspherical Variational Auto-Encoders
PyTorch Implementation of PortaSpeech: Portable and High-Quality Generative Text-to-Speech
Lstm variational auto-encoder for time series anomaly detection and features extraction