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 39 variational autoencoder models tools tracked. The highest-rated is EdoardoBotta/RQ-VAE-Recommender at 49/100 with 747 stars.

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#	Tool	Score	Tier	Stars	Language
1	EdoardoBotta/RQ-VAE-Recommender [Pytorch] Generative retrieval model using semantic IDs from "Recommender...	49	Emerging	747	Python
2	is0383kk/SymbolEmergence-VAE-GMM Symbol emergence using Variational Auto-Encoder and Gaussian Mixture Model...	37	Emerging	8	Python
3	is0383kk/Dirichlet-VAE Dirichlet-Variational Auto-Encoder by PyTorch	31	Emerging	24	Jupyter Notebook
4	Bhavik-Ardeshna/pytorch-VAE Variational Autoencoder and a Disentangled version (beta-VAE) implementation...	31	Emerging	3	Python
5	farhad-dalirani/Controllable-Face-Generation-VAE A controllable generative model using a Convolutional Variational...	30	Emerging	2	Python
6	EdoardoBotta/Gaussian-Mixture-VAE [Pytorch] Minimal implementation of a Variational Autoencoder (VAE) with...	26	Experimental	7	Python
7	shawn2030/StochasticVAE Implementing a new kind of Variational AutoEncoder which works on Stochastic...	24	Experimental	2	Python
8	julian-dqtr/plasma Inferring physical plasma parameters (Frequency/Tension) and generating...	24	Experimental	1	Python
9	terencetaothucb/CVAE-Rapid-SOH-Estimation-for-Retired-Batteries-Using-Generated-Data Code for PulseBat dataset. We use conditional variational autoencoder to...	23	Experimental	16	Python
10	code-with-idrees/Denoising-Autoencoder-Cifar10 PyTorch DAE that denoises CIFAR-10 images — 24.62 dB PSNR, 0.8225 SSIM, 182K...	22	Experimental	—	Jupyter Notebook
11	MSD-IRIMAS/SVAE-4-HMG A Supervised VAE Based Gen Model for Human Motion	22	Experimental	5	Python
12	tiboitel/poke-vae poke-vae implements a Variational Autoencoder (VAE) in PyTorch to encode and...	22	Experimental	1	Python
13	ai4biomedicine/surgVAE JAMIA: A Novel Generative Multi-Task Representation Learning Approach for...	22	Experimental	5	Python
14	joseph-nagel/vae-intro VAEs with PyTorch + Lightning	21	Experimental	—	Jupyter Notebook
15	is0383kk/Pytorch_VAE-GMM Implementation of mutual learning model between VAE and GMM.	21	Experimental	29	Python
16	TommasoTarchi/enc_chain Study on the loss of data variability in (generative) variational...	21	Experimental	—	Python
17	arghyaxcodes/Image_Generation_VAES This project demonstrates image generation using Variational Autoencoders...	20	Experimental	1	Jupyter Notebook
18	mdhabibi/Neural-Compression-with-Autoencoders Exploring advanced autoencoder architectures for efficient data compression...	18	Experimental	2	Jupyter Notebook
19	msaadx/VAE-Image-Generation This repository contains an implementation of a Variational Autoencoder...	17	Experimental	1	Jupyter Notebook
20	theveryhim/TemporalGraphVAE Capturing probabilistic dynamics in graph evolution	17	Experimental	—	Jupyter Notebook
21	theveryhim/CVAE Generating and exploring handwritten digits from the MNIST dataset	17	Experimental	—	Jupyter Notebook
22	calebclayreagor/brain-waves-vae Variational autoencoder for zebrafish neural activity	17	Experimental	1	Python
23	eren23/one_layer_image_gen A PyTorch implementation replicating the core logic of FAE (Feature...	16	Experimental	12	Jupyter Notebook
24	jaychampaneri14/autoencoder-compression Variational Autoencoder for image compression and generation	13	Experimental	—	Python
25	theveryhim/Generative-models Training a generative model(VQ-VAE) for image generation	13	Experimental	—	Jupyter Notebook
26	S-razmi/Real_NVP Implementing Real-NVP from Scratch in Pytorch	12	Experimental	5	Jupyter Notebook
27	Sheev13/vae PyTorch implementation of a variational autoencoder (VAE) for use on...	12	Experimental	6	Jupyter Notebook
28	iambankaratharva/VAE-and-GANs Implementation of VAEs and GANs from scratch.	11	Experimental	—	Jupyter Notebook
29	umarwaseeem/vae-cifar-10 variational autoencoder trained on cifar-10 dataset for generative image modelling	11	Experimental	—	Jupyter Notebook
30	kreasof-ai/deep-compression-autoencoder DC-AE (Deep Compression Autoencoder)	11	Experimental	—	Jupyter Notebook
31	umarwaseeem/cvae-cifar-10 conditional variational encoder to conditionally generate images for a...	11	Experimental	—	Jupyter Notebook
32	kianzohoury/VAE A comparative analysis of autoencoders, variational autoencoders (VAEs), and...	11	Experimental	—	Python
33	mcbosch/VAE-Tutorial-Scratch Here we have the basic models to build a variational autoencoder from...	11	Experimental	—	Python
34	msaadx/Variational-Autoencoder-Generating-Fake-Signatures This repository implements a Variational Autoencoder (VAE) using PyTorch to...	11	Experimental	—	Jupyter Notebook
35	TiboBruneel/Thesis-VAE-Models This repository contains the VAE models source code that was used in the...	11	Experimental	—	Python
36	Nishant2018/AutoEncoder-Generative-AI-MNIST Autoencoders are a type of neural network used for unsupervised learning. In...	10	Experimental	2	Jupyter Notebook
37	Nihar3453/variational-autoencoder-facegen A Variational Autoencoder (VAE) for face image reconstruction with slight...	10	Experimental	1	Jupyter Notebook
38	Nishant2018/DeNoising-Conv.-AutoEncoder Denoising autoencoders are powerful neural networks used to remove noise...	10	Experimental	2	Jupyter Notebook
39	CoderSahel/AI-Enabled-Choreography Variational Autoencoder (VAE) with LSTM layers to generate short dance...	10	Experimental	2	Jupyter Notebook