variational-autoencoders

There are 11 repositories under variational-autoencoders topic.

AntixK / PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
architecture beta-vae celeba-dataset deep-learning dfc-vae gumbel-softmax iwae paper-implementations pytorch pytorch-implementation pytorch-vae reproducible-research vae vae-implementation variational-autoencoders vqvae wae
Language:Python 7419
EdoardoBotta / RQ-VAE-Recommender
[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"
generative-ai recommendation-system recommender-system retrieval-systems variational-autoencoder variational-autoencoders generative gumbel recommendation recommender retrieval vae recommendersystems generative-retrieval semantic-id semantic-ids
Language:Python 608
SimonKohl / probabilistic_unet
A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
u-net variational-inference semantic-segmentation generative-models variational-autoencoders neurips neurips-2018 nips nips-2018
Language:Jupyter Notebook 561
js05212 / BayesianDeepLearning-Survey
Bayesian Deep Learning: A Survey
bayesian-deep-learning bdl variational-autoencoders survey arxiv bayesian neural-networks deep-learning machine-learning
519
EugenHotaj / pytorch-generative
Easy generative modeling in PyTorch
image-generation autoregressive-neural-networks pixelcnn pixelsnail image-gpt generative-models vq-vae paper-implementations vd-vae beta-vae variational-autoencoders pytorch-generative
Language:Python 438
FranxYao / Deep-Generative-Models-for-Natural-Language-Processing
DGMs for NLP. A roadmap.
generative-model generative-text text-generation generative-models latent-variable-models variational-inference variational-autoencoders generative-adversarial-networks normalizing-flows parsing approximate-inference graphical-models natural-language-processing mcmc markov-chain-monte-carlo structured-prediction gradient-estimation discrete-structures language-model decoding
393
biomedia-mira / deepscm
Repository for Deep Structural Causal Models for Tractable Counterfactual Inference
causal-inference deep-learning counterfactuals variational-autoencoders normalizing-flows
Language:Jupyter Notebook 289
hoangcuong2011 / Good-Papers
I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers
deep-learning machine-learning natural-language-processing computer-vision gaussian-processes variational-autoencoders neural-machine-translation neural-network convolutional-networks semi-supervised-learning variational-inference kernel-learning representation-learning deep-kernel-learning
284
jmtomczak / vae_vampprior
Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling
deep-learning representation-learning generative-model variational-autoencoders
Language:Python 234
XiaoyuBIE1994 / DVAE
(FTML 2021) Official implementation of Dynamical VAEs
deep-learning generative-model variational-autoencoders
Language:Python 233
atomai
pycroscopy / atomai
Deep and Machine Learning for Microscopy
microscopy materials machine-learning materials-science deep-learning multivariate-analysis fully-convolutional-networks variational-autoencoders ensemble-learning google-colaboratory jupyter-notebook pytorch semantic-segmentation electron-microscopy scanning-probe-microscopy deep-kernel-learning imaging
Language:Python 214
ajbrock / Generative-and-Discriminative-Voxel-Modeling
Voxel-Based Variational Autoencoders, VAE GUI, and Convnets for Classification
machine-learning deep-learning variational-autoencoders convnet gui
Language:Python 212
greenelab / tybalt
Training and evaluating a variational autoencoder for pan-cancer gene expression data
cancer-genomics deep-learning unsupervised-learning gene-expression variational-autoencoder script tool analysis autoencoder variational-autoencoders cancer
Language:HTML 172
VGraphRNN / VGRNN
Variational Graph Recurrent Neural Networks - PyTorch
variational-autoencoder graph-auto-encoder representation-learning variational-inference graph-convolutional-networks graph-embedding node-embedding graph-neural-networks graph-neural-network variational-autoencoders graph-representation-learning dynamic-graphs link-prediction
Language:Python 117
zfountas / deep-active-inference-mc
Deep active inference agents using Monte-Carlo methods
active-inference cognitive-architectures cognitive-science machine-learning-models variational-autoencoders variational-inference model-based-reinforcement-learning dsprites animal-ai disentangled-representations monte-carlo-tree-search monte-carlo-methods
Language:Python 93
addtt / ladder-vae-pytorch
Ladder Variational Autoencoders (LVAE) in PyTorch
pytorch generative-models vae variational-inference ladder-vae unsupervised-learning variational-autoencoders ladder-variational-autoencoders representation-learning
Language:Python 92
eelxpeng / UnsupervisedDeepLearning-Pytorch
This repository tries to provide unsupervised deep learning models with Pytorch
unsupervised deep-learning pytorch autoencoder denoising-autoencoders variational-autoencoders generative-adversarial-network
Language:Python 90
jmtomczak / vae_householder_flow
Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)
deep-learning variational-autoencoders representation-learning normalizing-flows generative-model
Language:Python 75
jgvfwstone / ArtificialIntelligenceEngines
Computer code collated for use with Artificial Intelligence Engines book by JV Stone
learning perceptron gan hopfield-neural-network boltzmann-machine variational-autoencoders perceptron-neural-networks artificial-intelligence machine-learning backpropagation deep-learning neural-networks reinforcement-learning deeplearning
Language:Python 65
LynnHo / VAE-Tensorflow
(beta-)VAE Tensorflow
tensorflow vae variational-autoencoders
Language:Python 50
guglielmocamporese / cvaecaposr
Code for the Paper: "Conditional Variational Capsule Network for Open Set Recognition", Y. Guo, G. Camporese, W. Yang, A. Sperduti, L. Ballan, ICCV, 2021.
openset-recognition incremental-learning variational-autoencoders capsule-networks
Language:Python 46
ericmjl / flu-sequence-predictor
An experimental deep learning & genotype network-based system for predicting new influenza protein sequences.
bokeh deep-learning flask flu flu-forecaster gaussian-processes influenza influenza-protein-sequences protein-sequences pymc vaccine variational-autoencoders
Language:Jupyter Notebook 36
cavaunpeu / flight-delays
Transfer learning for flight-delay prediction via variational autoencoders in Keras
variational-autoencoders transfer-learning keras
Language:Jupyter Notebook 34
M-Elfeki / GDPP
Generator loss to reduce mode-collapse and to improve the generated samples quality.
determinantal-point-processes generative-adversarial-networks generative-model tensorflow variational-autoencoders
Language:Python 34
eleGAN23 / QVAE
Official PyTorch implementation of A Quaternion-Valued Variational Autoencoder (QVAE).
vae vae-pytorch quaternions generative-models variational-autoencoder quaternion-neural-networks pytorch-vae variational-autoencoders entropy entropy-measures quaternion-domain vaes icassp
Language:Python 31
caetas / GenerativeZoo
Model Zoo for Generative Models.
artificial-intelligence deep-learning diffusion-models generative-adversarial-network generative-model score-based-generative-modeling variational-autoencoders flow-matching normalizing-flows
Language:Python 26
meiyulee / continuous_Bernoulli
There are C language computer programs about the simulator, transformation, and test statistic of continuous Bernoulli distribution. More than that, the book contains continuous Binomial distribution and continuous Trinomial distribution.
deep-learning deep-neural-networks deeplearning variational-autoencoder continuous-bernoulli deeplearning-ai vae-implementation autoencoders c cpp vae variational-autoencoders point-estimator test-statistic simulator statistical-analysis
Language:C++ 25
yjlolo / pytorch-deep-markov-model
PyTorch re-implementation of [Structured Inference Networks for Nonlinear State Space Models, AAAI 17]
aaai markov-model pytorch-implementation reimplementation sequential-data variational-autoencoders variational-inference
Language:Python 24
trungnt13 / odin-ai
Orgainzed Digital Intelligent Network (O.D.I.N)
deep-learning deep-neural-networks speech-processing image-processing natural-language-processing text-processing probabilistic-programming probabilistic-graphical-models graph-algorithms bayesian-methods machine-learning variational-autoencoder variational-autoencoders factor-vae semi-supervised-learning disentangled-representations disentanglement-learning generative-model
Language:Python 23
XiaoyuBIE1994 / DVAE_SE
(TASLP 2022) Unsupervised speech enhancement using DVAEs
generative-model speech-processing unsupervised-machine-learning variational-autoencoders variational-inference
Language:Python 23
dhanushkamath / VariationalAutoencoder
An IPython notebook explaining the concepts of Variational Autoencoders and building one using Keras to generate new faces.
artificial-intelligence artificial-neural-networks computer-vision convolutional-neural-networks deep-learning faces generative-adversarial-network generative-adversarial-networks generative-art generative-model keras keras-implementations keras-models keras-tutorials machine-learning neural-network neural-networks python tensorflow variational-autoencoders
Language:Jupyter Notebook 22
sbavon / Deep-Feature-Consistent-Variational-AutoEncoder-in-Tensorflow
implement Deep Feature Consisten Variational Autoencoder in Tensorflow
vae dfc-vae variational-autoencoder variational-autoencoders deep-learning perceptual-losses generative-model generative-models
Language:Python 21
automl / SVGe
Smooth Variational Graph Embeddings for Efficient Neural Architecture Search
automl neural-architecture-search nas bayesian-optimization variational-autoencoders graph-neural-networks
Language:Python 15
georgosgeorgos / hierarchical-few-shot-generative-models
Code for "SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation" @ ICML 2022
few-shot-generation hierarchical-generative-models generative-model variational-autoencoders
Language:Python 15
yjchoe / alphaGAN
A PyTorch implementation of alpha-GAN
deep-learning generative-adversarial-networks variational-autoencoders pytorch tensorboard
Language:Python 15
gdikov / adversarial-variational-bayes
A Keras/TensorFlow-based implementation of Adversarial Variational Bayes by L. Mescheder et al.
variational-autoencoders avb keras
Language:Python 12

variational-autoencoders

AntixK / PyTorch-VAE

EdoardoBotta / RQ-VAE-Recommender

SimonKohl / probabilistic_unet

js05212 / BayesianDeepLearning-Survey

EugenHotaj / pytorch-generative

FranxYao / Deep-Generative-Models-for-Natural-Language-Processing

biomedia-mira / deepscm

hoangcuong2011 / Good-Papers

jmtomczak / vae_vampprior

XiaoyuBIE1994 / DVAE

pycroscopy / atomai

ajbrock / Generative-and-Discriminative-Voxel-Modeling

greenelab / tybalt

VGraphRNN / VGRNN

zfountas / deep-active-inference-mc

addtt / ladder-vae-pytorch

eelxpeng / UnsupervisedDeepLearning-Pytorch

jmtomczak / vae_householder_flow

jgvfwstone / ArtificialIntelligenceEngines

LynnHo / VAE-Tensorflow

guglielmocamporese / cvaecaposr

ericmjl / flu-sequence-predictor

cavaunpeu / flight-delays

M-Elfeki / GDPP

eleGAN23 / QVAE

caetas / GenerativeZoo

meiyulee / continuous_Bernoulli

yjlolo / pytorch-deep-markov-model

trungnt13 / odin-ai

XiaoyuBIE1994 / DVAE_SE

dhanushkamath / VariationalAutoencoder

sbavon / Deep-Feature-Consistent-Variational-AutoEncoder-in-Tensorflow

automl / SVGe

georgosgeorgos / hierarchical-few-shot-generative-models

yjchoe / alphaGAN

gdikov / adversarial-variational-bayes