Variational Autoencoder Models Generative AI Tools
Implementations and research of VAE architectures for generative tasks across domains (images, audio, sequences, graphs). Does NOT include other generative models like GANs as primary focus, nor applications using pre-built VAE libraries without model development.
There are 26 variational autoencoder models tools tracked. The highest-rated is EdoardoBotta/RQ-VAE-Recommender at 42/100 with 747 stars.
Get all 26 projects as JSON
curl "https://pt-edge.onrender.com/api/v1/datasets/quality?domain=generative-ai&subcategory=variational-autoencoder-models&limit=20"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
| # | Tool | Score | Tier |
|---|---|---|---|
| 1 |
EdoardoBotta/RQ-VAE-Recommender
[Pytorch] Generative retrieval model using semantic IDs from "Recommender... |
|
Emerging |
| 2 |
is0383kk/SymbolEmergence-VAE-GMM
Symbol emergence using Variational Auto-Encoder and Gaussian Mixture Model... |
|
Emerging |
| 3 |
is0383kk/Dirichlet-VAE
Dirichlet-Variational Auto-Encoder by PyTorch |
|
Experimental |
| 4 |
Bhavik-Ardeshna/pytorch-VAE
Variational Autoencoder and a Disentangled version (beta-VAE) implementation... |
|
Experimental |
| 5 |
farhad-dalirani/Controllable-Face-Generation-VAE
A controllable generative model using a Convolutional Variational... |
|
Experimental |
| 6 |
code-with-idrees/Denoising-Autoencoder-Cifar10
PyTorch DAE that denoises CIFAR-10 images — 24.62 dB PSNR, 0.8225 SSIM, 182K... |
|
Experimental |
| 7 |
julian-dqtr/plasma
Inferring physical plasma parameters (Frequency/Tension) and generating... |
|
Experimental |
| 8 |
tiboitel/poke-vae
poke-vae implements a Variational Autoencoder (VAE) in PyTorch to encode and... |
|
Experimental |
| 9 |
TommasoTarchi/enc_chain
Study on the loss of data variability in (generative) variational... |
|
Experimental |
| 10 |
joseph-nagel/vae-intro
VAEs with PyTorch + Lightning |
|
Experimental |
| 11 |
EdoardoBotta/Gaussian-Mixture-VAE
[Pytorch] Minimal implementation of a Variational Autoencoder (VAE) with... |
|
Experimental |
| 12 |
is0383kk/Pytorch_VAE-GMM
Implementation of mutual learning model between VAE and GMM. |
|
Experimental |
| 13 |
shawn2030/StochasticVAE
Implementing a new kind of Variational AutoEncoder which works on Stochastic... |
|
Experimental |
| 14 |
arghyaxcodes/Image_Generation_VAES
This project demonstrates image generation using Variational Autoencoders... |
|
Experimental |
| 15 |
terencetaothucb/CVAE-Rapid-SOH-Estimation-for-Retired-Batteries-Using-Generated-Data
Code for PulseBat dataset. We use conditional variational autoencoder to... |
|
Experimental |
| 16 |
MSD-IRIMAS/SVAE-4-HMG
A Supervised VAE Based Gen Model for Human Motion |
|
Experimental |
| 17 |
ai4biomedicine/surgVAE
JAMIA: A Novel Generative Multi-Task Representation Learning Approach for... |
|
Experimental |
| 18 |
theveryhim/CVAE
Generating and exploring handwritten digits from the MNIST dataset |
|
Experimental |
| 19 |
theveryhim/TemporalGraphVAE
Capturing probabilistic dynamics in graph evolution |
|
Experimental |
| 20 |
mcbosch/VAE-Tutorial-Scratch
Here we have the basic models to build a variational autoencoder from... |
|
Experimental |
| 21 |
jaychampaneri14/autoencoder-compression
Variational Autoencoder for image compression and generation |
|
Experimental |
| 22 |
eren23/one_layer_image_gen
A PyTorch implementation replicating the core logic of FAE (Feature... |
|
Experimental |
| 23 |
mdhabibi/Neural-Compression-with-Autoencoders
Exploring advanced autoencoder architectures for efficient data compression... |
|
Experimental |
| 24 |
theveryhim/Generative-models
Training a generative model(VQ-VAE) for image generation |
|
Experimental |
| 25 |
calebclayreagor/brain-waves-vae
Variational autoencoder for zebrafish neural activity |
|
Experimental |
| 26 |
msaadx/VAE-Image-Generation
This repository contains an implementation of a Variational Autoencoder... |
|
Experimental |