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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.

Here are 568 public repositories matching this topic...

ddbourgin / numpy-ml

Machine learning, in numpy

machine-learning reinforcement-learning word2vec lstm neural-networks gaussian-mixture-models vae topic-modeling attention resnet bayesian-inference wavenet mfcc knn gaussian-processes hidden-markov-models gradient-boosting wgan-gp good-turing-smoothing

Updated Oct 29, 2023
Python

AntixK / PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

deep-learning reproducible-research architecture pytorch vae beta-vae paper-implementations gumbel-softmax celeba-dataset wae variational-autoencoders pytorch-implementation dfc-vae iwae vqvae vae-implementation pytorch-vae

Updated Mar 21, 2025
Python

wiseodd / generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

machine-learning tensorflow pytorch gan generative-model vae restricted-boltzmann-machine rbm

Updated Mar 24, 2024
Python

hwalsuklee / tensorflow-generative-model-collections

Collection of generative models in Tensorflow

Updated Aug 8, 2022
Python

PacktPublishing / Advanced-Deep-Learning-with-Keras

Advanced Deep Learning with Keras, published by Packt

reinforcement-learning deep-learning keras gan autoencoder vae

Updated Mar 2, 2026
Python

clementchadebec / benchmark_VAE

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

benchmarking reproducible-research pytorch comparison vae pixel-cnn reproducibility beta-vae vae-gan normalizing-flows variational-autoencoder vq-vae wasserstein-autoencoder vae-implementation vae-pytorch

Updated Jul 31, 2024
Python

jaanli / variational-autoencoder

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

learning machine-learning deep-neural-networks deep-learning tensorflow deep pytorch vae unsupervised-learning variational-inference probabilistic-graphical-models variational-autoencoder autoregressive-neural-networks

Updated Apr 24, 2024
Python

ritheshkumar95 / pytorch-vqvae

Vector Quantized VAEs - PyTorch Implementation

deep-learning pytorch vae generative-models vq-vae

Updated Jul 12, 2023
Python

YannDubs / disentangling-vae

Experiments for understanding disentanglement in VAE latent representations

deep-learning reproducible-research pytorch mnist chairs-dataset vae representation-learning unsupervised-learning beta-vae celeba variational-autoencoder disentanglement dsprites fashion-mnist disentangled-representations factor-vae beta-tcvae

Updated Feb 2, 2023
Python

EdoardoBotta / RQ-VAE-Recommender

[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"

retrieval recommender recommendation-system vae recommender-system recommendation generative variational-autoencoder variational-autoencoders gumbel retrieval-systems recommendersystems generative-ai generative-retrieval semantic-ids semantic-id

Updated Apr 1, 2026
Python

timbmg / VAE-CVAE-MNIST

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

deep-learning pytorch mnist vae latent-variable-models cvae variational-autoencoder

Updated May 30, 2025
Python

ikostrikov / TensorFlow-VAE-GAN-DRAW

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).

tensorflow draw recurrent-neural-networks gan vae

Updated Apr 18, 2017
Python

timbmg / Sentence-VAE

PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349

nlp deep-learning neural-network pytorch generative-model vae ptb

Updated Mar 18, 2026
Python

1Konny / Beta-VAE

Pytorch implementation of β-VAE

chairs-dataset vae unsupervised-learning beta-vae celeba dsprites disentangled-representations

Updated Dec 29, 2020
Python

nadavbh12 / VQ-VAE

Minimalist implementation of VQ-VAE in Pytorch

deep-neural-networks deep-learning pytorch mnist vae vq-vae

Updated Jun 3, 2021
Python

yudi-mars / daisyRec

Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison" (RecSys2020)

afm slim pytorch collaborative-filtering matrix-factorization vae recommender-system factorization-machines ease k-nearest-neighbors item2vec deepfm neural-collaborative-filtering neumf cdae nfm svdpp biasmf

Updated Aug 8, 2024
Python

hwalsuklee / tensorflow-mnist-VAE

Tensorflow implementation of variational auto-encoder for MNIST

tensorflow mnist autoencoder vae dae denoising-autoencoders variational-autoencoder

Updated Apr 11, 2017
Python

navneet-nmk / pytorch-rl

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

Updated Jul 14, 2019
Python

jaywonchung / BERT4Rec-VAE-Pytorch

Pytorch implementation of BERT4Rec and Netflix VAE.

pytorch ae recommendation-system vae dae bert4rec

Updated Jul 6, 2023
Python

ChunyuanLI / Optimus

Optimus: the first large-scale pre-trained VAE language model

vae pretrained-models language-model vae-pytorch

Updated Sep 6, 2023
Python

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Website: github.com/topics/vae
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