vae

There are 10 repositories under vae topic.

ddbourgin / numpy-ml
Machine learning, in numpy
machine-learning neural-networks topic-modeling gaussian-mixture-models hidden-markov-models gradient-boosting bayesian-inference wavenet vae resnet lstm wgan-gp attention reinforcement-learning good-turing-smoothing knn mfcc gaussian-processes word2vec
Language:Python 16145
wiseodd / generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
gan generative-model machine-learning pytorch rbm restricted-boltzmann-machine tensorflow vae
Language:Python 7400
AntixK / PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
pytorch pytorch-implementation vae vae-implementation deep-learning reproducible-research paper-implementations pytorch-vae variational-autoencoders architecture beta-vae vqvae gumbel-softmax celeba-dataset iwae wae dfc-vae
Language:Python 7338
hwalsuklee / tensorflow-generative-model-collections
Collection of generative models in Tensorflow
acgan began cgan cvae dragan ebgan fashion-mnist gan generative-adversarial-networks generative-model generative-models improved-wgan infogan lsgan mnist tensorflow vae variational-autoencoder wgan wgan-gp
Language:Python 3918
PacktPublishing / Advanced-Deep-Learning-with-Keras
Advanced Deep Learning with Keras, published by Packt
autoencoder deep-learning gan keras reinforcement-learning vae
Language:Python 1942
amirhossein-kz / Awesome-Diffusion-Models-in-Medical-Imaging
Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)
ddpm denoising diffusion diffusion-models generation generative-models medical-imaging reconstruction sde segmentation vae ncsn deep-learning machine-learning score-based score-matching
1922
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 1899
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 1162
ritheshkumar95 / pytorch-vqvae
Vector Quantized VAEs - PyTorch Implementation
deep-learning generative-models pytorch vae vq-vae
Language:Python 931
nghorbani / human_body_prior
VPoser: Variational Human Pose Prior
human motion pose pose-estimation prior vae
Language:Jupyter Notebook 861
YannDubs / disentangling-vae
Experiments for understanding disentanglement in VAE latent representations
beta-tcvae beta-vae celeba chairs-dataset deep-learning disentangled-representations disentanglement dsprites factor-vae fashion-mnist mnist pytorch representation-learning reproducible-research unsupervised-learning vae variational-autoencoder
Language:Python 814
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
811
AspirinCode / papers-for-molecular-design-using-DL
List of Molecular and Material design using Generative AI and Deep Learning
deep-generative-models diffusion drug-design energy-based-model gan generative-ai gnns lstm material-design molecular-design prompt-learning reinforcement-learning rnn score-based-generative-models transformer vae
771
msurtsukov / neural-ode
Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations
pytorch jupyter-notebook neural-ode vae
Language:Jupyter Notebook 745
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 625
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).
draw gan recurrent-neural-networks tensorflow vae
Language:Python 597
timbmg / Sentence-VAE
PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349
deep-learning generative-model neural-network nlp ptb pytorch vae
Language:Python 591
zalandoresearch / pytorch-vq-vae
PyTorch implementation of VQ-VAE by Aäron van den Oord et al.
deep-learning pytorch vae vq-vae
Language:Jupyter Notebook 559
AmazingDD / 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 biasmf cdae collaborative-filtering deepfm ease factorization-machines item2vec k-nearest-neighbors matrix-factorization neumf neural-collaborative-filtering nfm pytorch recommender-system slim svdpp vae
Language:Python 552
nadavbh12 / VQ-VAE
Minimalist implementation of VQ-VAE in Pytorch
vae deep-learning mnist deep-neural-networks vq-vae pytorch
Language:Python 538
1Konny / Beta-VAE
Pytorch implementation of β-VAE
beta-vae vae disentangled-representations unsupervised-learning celeba chairs-dataset dsprites
Language:Python 536
shayneobrien / generative-models
Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
autoencoder began discriminator dragan fgan fishergan gan generative-adversarial-network generative-models infogan lsgan machine-learning mmgan nsgan python pytorch ragan vae wasserstein wgan
Language:Jupyter Notebook 500
google-deepmind / dsprites-dataset
Dataset to assess the disentanglement properties of unsupervised learning methods
vae beta-vae disentanglement dataset dsprites
Language:Jupyter Notebook 498
hwalsuklee / tensorflow-mnist-VAE
Tensorflow implementation of variational auto-encoder for MNIST
tensorflow mnist vae variational-autoencoder denoising-autoencoders autoencoder dae
Language:Python 496
Schlumberger / joint-vae
Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation :star2:
disentangled-representations disentanglement gumbel-softmax vae generative-models pytorch
Language:Jupyter Notebook 464
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 443
Lofi
jacbz / Lofi
ML-supported lo-fi music generator
flask lofi lofi-music machine-learning music pytorch tonejs typescript vae
Language:TypeScript 406
jaywonchung / BERT4Rec-VAE-Pytorch
Pytorch implementation of BERT4Rec and Netflix VAE.
recommendation-system bert4rec ae dae vae pytorch
Language:Python 393
ChunyuanLI / Optimus
Optimus: the first large-scale pre-trained VAE language model
pretrained-models vae language-model vae-pytorch
Language:Python 385
pkmital / pycadl
Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"
deep-learning neural-network tutorial mooc gan vae vae-gan pixelcnn wavenet magenta nsynth tensorflow celeba cyclegan dcgan word2vec glove autoregressive conditional course
Language:Python 366
kpandey008 / DiffuseVAE
Official implementation of "DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents"
controllable-generation ddpm diffusion-models generative-model latent-variable-models vae
Language:Python 361
nicola-decao / s-vae-pytorch
Pytorch implementation of Hyperspherical Variational Auto-Encoders
pytorch vae variational-autoencoder von-mises-fisher machine-learning deep-learning manifold-learning hyperspherical-vae
Language:Python 361
deterministic-algorithms-lab / Cross-Lingual-Voice-Cloning
Tacotron 2 - PyTorch implementation with faster-than-realtime inference modified to enable cross lingual voice cloning.
multi-lingual pytorch text-to-speech vae voice-cloning
Language:Jupyter Notebook 360
kefirski / pytorch_RVAE
Recurrent Variational Autoencoder that generates sequential data implemented with pytorch
deep-learning nlp python pytorch vae
Language:Python 360
keonlee9420 / PortaSpeech
PyTorch Implementation of PortaSpeech: Portable and High-Quality Generative Text-to-Speech
text-to-speech normalizing-flows generative-model deep-neural-networks pytorch tts speech-synthesis neural-tts non-autoregressive portable-tts vae fastspeech hifi-gan non-ar mel-gan high-quality
Language:Python 333
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 321

vae

ddbourgin / numpy-ml

wiseodd / generative-models

AntixK / PyTorch-VAE

hwalsuklee / tensorflow-generative-model-collections

PacktPublishing / Advanced-Deep-Learning-with-Keras

amirhossein-kz / Awesome-Diffusion-Models-in-Medical-Imaging

clementchadebec / benchmark_VAE

jaanli / variational-autoencoder

ritheshkumar95 / pytorch-vqvae

nghorbani / human_body_prior

YannDubs / disentangling-vae

matthewvowels1 / Awesome-VAEs

AspirinCode / papers-for-molecular-design-using-DL

msurtsukov / neural-ode

timbmg / VAE-CVAE-MNIST

ikostrikov / TensorFlow-VAE-GAN-DRAW

timbmg / Sentence-VAE

zalandoresearch / pytorch-vq-vae

AmazingDD / daisyRec

nadavbh12 / VQ-VAE

1Konny / Beta-VAE

shayneobrien / generative-models

google-deepmind / dsprites-dataset

hwalsuklee / tensorflow-mnist-VAE

Schlumberger / joint-vae

navneet-nmk / pytorch-rl

jacbz / Lofi

jaywonchung / BERT4Rec-VAE-Pytorch

ChunyuanLI / Optimus

pkmital / pycadl

kpandey008 / DiffuseVAE

nicola-decao / s-vae-pytorch

deterministic-algorithms-lab / Cross-Lingual-Voice-Cloning

kefirski / pytorch_RVAE

keonlee9420 / PortaSpeech

TimyadNyda / Variational-Lstm-Autoencoder