VAE

A variational autoencoder (VAE) is a generative model that combines deep learning with Bayesian inference to learn compact latent representations of data. VAEs are widely used for image generation, anomaly detection, and data augmentation.

GitHub: https://github.com/topics/vae
Wikipedia: https://en.wikipedia.org/wiki/Variational_autoencoder
Aliases: variational-autoencoder,
Last updated: 2026-03-23 00:28:36 UTC
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https://github.com/jersongb22/vae-tensorflow-pytorch

plotly python pytorch tensorflow vae

Last synced: 20 Mar 2025

https://github.com/adrianyuu/qualification-deep-learning

A qualification project for teaching as an assistant at SLC in the COMP6826001 Deep Learning course.

dcnn ssl vae

Last synced: 02 Apr 2025

https://github.com/sathya-ml/multimodal-vrnn-vae

A PyTorch implementation of multimodal VRNN and VAE.

conditional-generation generative-model multimodal multimodal-deep-learning multimodal-learning vae vae-implementation vae-pytorch variational-autoencoder vrnn

Last synced: 24 Feb 2025

https://github.com/lmizner/ece239_signalsandsystems

Course work from UCLA's ECE239 - Special Topics in Signals and Systems

conditional-ddpm deep-q-network denoising-diffusion-probabilistic-models dqn gans generative-adversarial-network generative-ai minigpt vae variational-autoencoder

Last synced: 02 Apr 2025

https://github.com/enhuiz/food-gen

A collection of generative models for fake foods.

fake-foods gan pytorch torchzq vae

Last synced: 25 Feb 2025

https://github.com/jiagengchang/myevae

MyeVAE. A multi-modal variation autoencoder with sub-task supervised latent subspace. Used for predicting mortality risk in newly diagnosed myeloma patients.

multi-omics-integration pytorch scikit-learn-pipelines survival-regression vae

Last synced: 05 Oct 2025

https://github.com/epigos/learning-pytorch

Implementation of deep learning models using Pytorch

autoencoder cnn computer-vision deep-learning gan generative-adversarial-network lstm mlp pytorch transfer-learning vae variational-autoencoder

Last synced: 22 Mar 2025

https://github.com/pearisli/visgen

Provide easy-to-understand implementations of classic/popular generative models in computer vision

animeface computer-vision diffusion gan generative pytorch vae

Last synced: 06 Oct 2025

https://github.com/parshakova/apsn

latent-variable-models policy-gradient pytorch question-answering semi-supervised-learning vae

Last synced: 07 Oct 2025

https://github.com/mehdijamalkhah/deep-learning-course-homeworks-s2024

Deep Learning course, Spring 2024, Sharif University of Technology, Dr. Soleymani

bert-fine-tuning cnn diffusion-models dino gan gpt itransformer pytorch rnn stable-diffusion unet vae yolo

Last synced: 03 Mar 2025

https://github.com/kirili4ik/deep-generative-models

Deep Generative Models that I have implemented, trained and experimented with.

gan generative-models glow pix2pix pytorch stargan vae

Last synced: 18 Oct 2025

https://github.com/mahshid1378/tacotron2

Tacotron 2 - PyTorch implementation with faster-than-realtime inference

english pytorch speech-synthesis text-to-speech tts vae

Last synced: 28 Mar 2025

https://github.com/mehassanhmood/computervision

Image generation using Variation Autoencoders and Genrative adversarial Networks.

computer-vision deep-learning gans genrative-ai vae

Last synced: 27 Mar 2025

https://github.com/frankroeder/dreamduck

World Models Experiments for Duckietown

baselines deep-learning dreaming duckietown ducks gym gym-environment mixture-density-networks ppo2 reinforcement-learning self-driving self-driving-car vae

Last synced: 30 Oct 2025

https://github.com/revanrie/variational-autoencoder-on-fashionmnist

This repository features a Variational Autoencoder (VAE) built with PyTorch, designed to compress and generate FashionMNIST images. Explore the model's latent space and gain insights into its workings while leveraging the power of deep learning! 🐙💻

deep-learning fashion-mnist generative-models image-generation latent-space python pytorch representation-learning tensorflow unsupervised-learning vae variational-autoencoder

Last synced: 11 Sep 2025

https://github.com/siruku6/thesis-trial

trial to reproduce the result mentioned in thesis

advantage dqn lunar-lander pytorch reinforcement-learning vae

Last synced: 11 Oct 2025

https://github.com/prasunroy/mcma

:fire: Exploring Mutual Cross-Modal Attention for Context-Aware Human Affordance Generation (official code).

affordance-generation cross-attention human-pose vae

Last synced: 09 Sep 2025

https://github.com/dantas-ds/vae-meandering-rivers

Implementation of a Variational Autoencoder (VAE) for meandering river images using PyTorch

deep-learning image-generation machine-learning meandering-rivers pytorch vae variational-autoencoder

Last synced: 21 Jan 2026

https://github.com/jersongb22/generativedeeplearning

Links to my works, where a variety of generative models are implemented using TensorFlow and PyTorch. Among the implemented models are Autoencoder, VAE, GAN, Pix2Pix, among others.

autoencoder cnn cyclegan gan generative-deep-learning neural-style-transfer pix2pix plotly python pytorch tensorflow u-net vae vgg-19

Last synced: 13 Oct 2025

https://github.com/saadamir1/vae-gan-comparison

Comprehensive comparison of VAE vs GAN architectures for image generation on CIFAR-10 dataset with quantitative evaluation metrics

cifar10 deep-learning gan generative-models image-generation machine-learning neural-networks tensorflow vae

Last synced: 26 Jun 2025

https://github.com/klane/playground

Computer vision playground

cnn gan mnist pytorch tensorflow vae

Last synced: 06 Apr 2025

https://github.com/mmcenta/discrete-embeddings

Diverse VAE experiments and implementations in TensorFlow.

vae vq-vae

Last synced: 13 Sep 2025

https://github.com/matheussoranco/vae-for-molecule-generation

A VAE model for molecules generation

artificial-intelligence deep-learning molecular-modeling molecule-generation vae

Last synced: 17 Oct 2025

https://github.com/suzuki-2001/pytorch-provlae

Pytorch Implementation of proVLAE

3dshapes beta-vae disentangled-representations disentanglement imagenet mnist pytorch vae

Last synced: 22 Jan 2026

https://github.com/legalaspro/modern_ai_foundations

A collection of implementations exploring modern AI architectures and foundational models.

cvae diffusion-models flowmatching vae vae-pytorch vision-transformer visual-language-models vlms

Last synced: 23 Jun 2025

https://github.com/bjam24/agh-machine-learning

This projects were made for the Machine Learning course at the AGH UST in 2024/2025. Obtained maximum grade 5.0.

agh arima arimax arma autoarima autoencoder cvae dbn dlinear ets gan lime linear nlinear rbm sarima sarimax shap vae

Last synced: 20 Jun 2025

https://github.com/alpha-131/fictive-frames

Fictive Frames is text-to-image synthesis model, employing variational autoencoders, transformers, and UNET architecture. By encoding textual descriptions into latent spaces, it generates high-quality images, optimizing parameter efficiency. This innovative approach streamlines content creation, catering to diverse industries.

diffusion-models transformers vae

Last synced: 15 Mar 2026

https://github.com/muhammadsaadx/variational-autoencoder-generating-fake-signatures

This repository implements a Variational Autoencoder (VAE) using PyTorch to generate synthetic signatures. The model encodes real signatures into a latent space, samples using the reparameterization trick, and reconstructs them via a decoder. Training optimizes reconstruction loss and KL divergence for smooth latent representations.

generative-ai synthetic-image-generation vae variational-autoencoder

Last synced: 12 Mar 2025

https://github.com/cori4nder/vae-meandering-rivers

Implementation of a Variational Autoencoder (VAE) for meandering river images using PyTorch

deep-learning image-generation machine-learning meandering-rivers pytorch vae variational-autoencoder

Last synced: 12 Apr 2025

https://github.com/mvinyard/flexinet

flexinet: flexible torch neural network composition

dimension-reduction neural-networks pytorch torch vae

Last synced: 28 Dec 2025

https://github.com/serezd/gen_adversarial

Code for Paper: "Pre-trained Multiple Latent Variable Generative Models are good defenders against Adversarial Attacks"

adversarial-attacks adversarial-purification gan mlvgm pytorch vae

Last synced: 31 Mar 2025

https://github.com/vidursatija/vq-vae

PyTorch implementation for Neural Discrete Representation Learning https://arxiv.org/abs/1711.00937

pytorch vae vq-vae

Last synced: 15 Mar 2025

https://github.com/sixleopard/stable-diffusion

Custom Stable Diffusion Model for ADNI dataset. Generates new Brain MRI's either with or without Alzheimer's Disease depending on input. Could be used as supplimentry data for training an early Alzheimer's Disease detection model

adni ai deep-learning meachine-learning nural-network stable-diffusion unet vae variational-autoencoder