variational-autoencoder

There are 16 repositories under variational-autoencoder topic.

hwalsuklee / tensorflow-generative-model-collections
Collection of generative models in Tensorflow
gan vae cgan infogan acgan lsgan wgan dragan ebgan variational-autoencoder began tensorflow mnist fashion-mnist wgan-gp cvae generative-adversarial-networks generative-model generative-models improved-wgan
Language:Python 3903
krasserm / bayesian-machine-learning
Notebooks about Bayesian methods for machine learning
machine-learning bayesian-methods bayesian-machine-learning gaussian-processes bayesian-optimization variational-autoencoder
Language:Jupyter Notebook 1753
clementchadebec / benchmark_VAE
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
vae benchmarking beta-vae comparison normalizing-flows pixel-cnn pytorch reproducibility reproducible-research vae-gan vae-implementation vae-pytorch variational-autoencoder vq-vae wasserstein-autoencoder
Language:Python 1694
GMvandeVen / continual-learning
PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.
deep-learning artificial-neural-networks continual-learning lifelong-learning incremental-learning replay distillation generative-models variational-autoencoder elastic-weight-consolidation replay-through-feedback icarl gradient-episodic-memory task-incremental-learning class-incremental-learning domain-incremental-learning
Language:Jupyter Notebook 1466
RubensZimbres / Repo-2017
My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano
anomaly-detection deep-learning autoencoder keras keras-models denoising-autoencoders generative-adversarial-network glove keras-layer word2vec nlp natural-language-processing sentiment-analysis opencv segnet resnet-50 variational-autoencoder t-sne svm-classifier latent-dirichlet-allocation
Language:Python 1187
scverse / scvi-tools
Deep probabilistic analysis of single-cell and spatial omics data
scrna-seq variational-bayes variational-autoencoder cite-seq single-cell-genomics single-cell-rna-seq deep-generative-model human-cell-atlas scverse deep-learning
Language:Python 1137
jaanli / variational-autoencoder
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
vae machine-learning tensorflow variational-autoencoder variational-inference probabilistic-graphical-models deep learning deep-learning deep-neural-networks pytorch unsupervised-learning autoregressive-neural-networks
Language:Python 1120
wubinzzu / NeuRec
Next RecSys Library
recommender-systems neural-networks collaborative-filtering deep-learning tensorflow variational-autoencoder autoencoder convolutional-neural-networks adversarial-learning sequential gcn social-network
Language:Python 1036
jmtomczak / intro_dgm
"Deep Generative Modeling": Introductory Examples
deep-generative-modelling variational-autoencoder flow-based-modeling autoregressive-modeling pytorch generative-adversarial-network energy-based-model neural-compression deep-learning generative-ai score-based-generative-modeling
Language:Jupyter Notebook 890
YannDubs / disentangling-vae
Experiments for understanding disentanglement in VAE latent representations
beta-vae factor-vae vae variational-autoencoder unsupervised-learning celeba dsprites beta-tcvae disentangled-representations chairs-dataset mnist fashion-mnist representation-learning reproducible-research deep-learning pytorch disentanglement
Language:Python 769
matthewvowels1 / Awesome-VAEs
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
vae variational-autoencoder awesome-list disentanglement disentangled-representations representation-learning deep-learning generative-model unsupervised-learning variational-inference variational-auto-encoder variational-bayes
755
VincentStimper / normalizing-flows
PyTorch implementation of normalizing flow models
normalizing-flow variational-autoencoder variational-inference real-nvp residual-flow glow pytorch neural-spline-flow density-estimation invertible-neural-networks
Language:Python 615
EndlessSora / focal-frequency-loss
[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis
generative-models loss-function frequency-domain frequency-analysis complementary autoencoder variational-autoencoder gan pix2pix spade loss image-reconstruction image-synthesis stylegan2 iccv2021 generative-adversarial-network generic image-generation
Language:Python 597
timbmg / VAE-CVAE-MNIST
Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch
cvae deep-learning latent-variable-models mnist pytorch vae variational-autoencoder
Language:Python 555
dawenl / vae_cf
Variational autoencoders for collaborative filtering
bayesian-inference collaborative-filtering recommender-systems variational-autoencoder
Language:Jupyter Notebook 524
hwalsuklee / tensorflow-mnist-VAE
Tensorflow implementation of variational auto-encoder for MNIST
tensorflow mnist vae variational-autoencoder denoising-autoencoders autoencoder dae
Language:Python 491
navneet-nmk / pytorch-rl
This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
dqn reinforcement-learning deep-learning deep-reinforcement-learning pytorch gym ddpg rl-algorithms openai openai-gym robotics experience-replay mujoco mujoco-py policy-gradient gan generative-adversarial-network vae vae-gan variational-autoencoder
Language:Python 441
EleutherAI / DALLE-mtf
Open-AI's DALL-E for large scale training in mesh-tensorflow.
artificial-intelligence transformers multimodal text-to-image variational-autoencoder autoregressive
Language:Python 436
lin-shuyu / VAE-LSTM-for-anomaly-detection
We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.
anomaly-detection unsupervised-learning variational-autoencoder time-series tensorflow
Language:Jupyter Notebook 402
nicola-decao / s-vae-pytorch
Pytorch implementation of Hyperspherical Variational Auto-Encoders
deep-learning hyperspherical-vae machine-learning manifold-learning pytorch vae variational-autoencoder von-mises-fisher
Language:Python 337
omerbsezer / Generative_Models_Tutorial_with_Demo
Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..
variational-autoencoder generative-adversarial-network gans dcgan cyclegan generative-model tutorial tutorial-code variational-inference gaussian-mixture-models auto-regressive-model bayesian-classifiers
Language:Jupyter Notebook 323
snakeztc / NeuralDialog-CVAE
Tensorflow Implementation of Knowledge-Guided CVAE for dialog generation ACL 2017. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU
dialogue-systems end-to-end deep-learning generative-model variational-autoencoder chatbot variational-bayes cvae
Language:OpenEdge ABL 309
alexlee-gk / video_prediction
Stochastic Adversarial Video Prediction
video-prediction stochastic adversarial vae variational-autoencoder generative-adversarial-network gan vae-gan video-generation
Language:Python 300
TimyadNyda / Variational-Lstm-Autoencoder
Lstm variational auto-encoder for time series anomaly detection and features extraction
vae anomaly-detection variational-autoencoder deep-learning time-series tensorflow
Language:Python 296
sksq96 / pytorch-vae
A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch
variational-autoencoder vae convolutional-neural-networks
Language:Jupyter Notebook 288
edgarschnfld / CADA-VAE-PyTorch
Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)
zero-shot-learning generalized-zero-shot-learning few-shot-learning vae variational-autoencoder
Language:Python 281
Chung-I / Variational-Recurrent-Autoencoder-Tensorflow
A tensorflow implementation of "Generating Sentences from a Continuous Space"
tensorflow vae variational-autoencoder recurrent-neural-networks
Language:Python 228
nicola-decao / s-vae-tf
Tensorflow implementation of Hyperspherical Variational Auto-Encoders
tensorflow vae von-mises-fisher machine-learning deep-learning manifold-learning variational-autoencoder hyperspherical-vae
Language:Python 219
GMvandeVen / brain-inspired-replay
A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).
artificial-neural-networks brain-inspired continual-learning deep-learning distillation elastic-weight-consolidation generative-replay incremental-learning internal-replay lifelong-learning permuted-mnist replay replay-through-feedback split-cifar100 split-mnist synaptic-intelligence variational-autoencoder
Language:Python 216
hsinyilin19 / ResNetVAE
Variational AutoEncoder + ResNet Transfer Learning
vae variational-autoencoder transfer-learning resnet
Language:Python 211
silviutroscot / CodeSLAM
Implementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)
deep-learning pytorch paper-implementations slam representation-learning autoencoder variational-autoencoder vision computer-vision representations-learning
Language:Python 190
taldatech / soft-intro-vae-pytorch
[CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders"
vae-pytorch vae pytorch cvpr2021 soft-introvae soft-intro-vae variational-autoencoder image-generation density-estimation
Language:Jupyter Notebook 186
msmbuilder / vde
Variational Autoencoder for Dimensionality Reduction of Time-Series
variational-autoencoder molecular-dynamics computational-chemistry computational-biology time-series deep-learning pytorch python
Language:Jupyter Notebook 183
nicola-decao / BNAF
Pytorch implementation of Block Neural Autoregressive Flow
normalizing-flows neural-networks density-estimation variational-autoencoder
Language:Python 173
StefanDenn3r / Unsupervised_Anomaly_Detection_Brain_MRI
Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study
deep-learning unsupervised-learning anomaly-detection segmentation mri gan autoencoder variational-autoencoder
Language:Python 171

variational-autoencoder

hwalsuklee / tensorflow-generative-model-collections

krasserm / bayesian-machine-learning

clementchadebec / benchmark_VAE

GMvandeVen / continual-learning

RubensZimbres / Repo-2017

scverse / scvi-tools

jaanli / variational-autoencoder

wubinzzu / NeuRec

jmtomczak / intro_dgm

YannDubs / disentangling-vae

matthewvowels1 / Awesome-VAEs

VincentStimper / normalizing-flows

EndlessSora / focal-frequency-loss

timbmg / VAE-CVAE-MNIST

dawenl / vae_cf

hwalsuklee / tensorflow-mnist-VAE

navneet-nmk / pytorch-rl

EleutherAI / DALLE-mtf

lin-shuyu / VAE-LSTM-for-anomaly-detection

nicola-decao / s-vae-pytorch

omerbsezer / Generative_Models_Tutorial_with_Demo

snakeztc / NeuralDialog-CVAE

alexlee-gk / video_prediction

TimyadNyda / Variational-Lstm-Autoencoder

sksq96 / pytorch-vae

edgarschnfld / CADA-VAE-PyTorch

Chung-I / Variational-Recurrent-Autoencoder-Tensorflow

nicola-decao / s-vae-tf

GMvandeVen / brain-inspired-replay

hsinyilin19 / ResNetVAE

silviutroscot / CodeSLAM

taldatech / soft-intro-vae-pytorch

msmbuilder / vde

yzwxx / vae-celebA

nicola-decao / BNAF

StefanDenn3r / Unsupervised_Anomaly_Detection_Brain_MRI