A Collection of Variational Autoencoders (VAE) in PyTorch.
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Updated
Mar 21, 2025 - Python
A Collection of Variational Autoencoders (VAE) in PyTorch.
Easy generative modeling in PyTorch
(FTML 2021) Official implementation of Dynamical VAEs
Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling
[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"
Voxel-Based Variational Autoencoders, VAE GUI, and Convnets for Classification
Deep and Machine Learning for Microscopy
Variational Graph Recurrent Neural Networks - PyTorch
Ladder Variational Autoencoders (LVAE) in PyTorch
This repository tries to provide unsupervised deep learning models with Pytorch
Deep active inference agents using Monte-Carlo methods
Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)
Computer code collated for use with Artificial Intelligence Engines book by JV Stone
Code for the Paper: "Conditional Variational Capsule Network for Open Set Recognition", Y. Guo, G. Camporese, W. Yang, A. Sperduti, L. Ballan, ICCV, 2021.
Generator loss to reduce mode-collapse and to improve the generated samples quality.
Official PyTorch implementation of A Quaternion-Valued Variational Autoencoder (QVAE).
Model Zoo for Generative Models.
PyTorch re-implementation of [Structured Inference Networks for Nonlinear State Space Models, AAAI 17]
Orgainzed Digital Intelligent Network (O.D.I.N)
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