Search Results - RepositoryStats

tensorflow-generative-model-collections hwalsuklee

848

3.9k

apache-2.0

158

Collection of generative models in Tensorflow

Created 2017-08-24

76 commits to master branch, last one 7 years ago

benchmark_VAE clementchadebec

174

1.9k

apache-2.0

17

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

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

Created 2021-10-02

373 commits to main branch, last one 8 months ago

bayesian-machine-learning krasserm

469

1.9k

apache-2.0

76

Notebooks about Bayesian methods for machine learning

bayesian-methods machine-learning gaussian-processes bayesian-optimization variational-autoencoder bayesian-machine-learning

Created 2018-03-19

136 commits to dev branch, last one about a year ago

continual-learning GMvandeVen

323

1.7k

mit

27

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.

icarl replay distillation deep-learning generative-models lifelong-learning continual-learning incremental-learning replay-through-feedback variational-autoencoder gradient-episodic-memory task-incremental-learning artificial-neural-networks class-incremental-learning domain-incremental-learning elastic-weight-consolidation

Created 2018-09-26

49 commits to master branch, last one 11 days ago

scvi-tools scverse

383

1.4k

bsd-3-clause

25

Deep probabilistic analysis of single-cell and spatial omics data

scverse cite-seq scrna-seq deep-learning human-cell-atlas variational-bayes single-cell-rna-seq single-cell-genomics deep-generative-model variational-autoencoder

Created 2017-09-06

4,204 commits to main branch, last one 3 days ago

Repo-2017 RubensZimbres

678

1.2k

unknown

124

My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano

Created 2016-12-17

320 commits to master branch, last one 3 years ago

variational-autoencoder jaanli

258

1.2k

mit

32

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

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

Created 2016-08-15

59 commits to master branch, last one 11 months ago

intro_dgm jmtomczak

184

1.2k

mit

28

"Deep Generative Modeling": Introductory Examples

pytorch deep-learning generative-ai energy-based-model neural-compression flow-based-modeling autoregressive-modeling variational-autoencoder deep-generative-modelling generative-adversarial-network score-based-generative-modeling

Created 2021-01-23

67 commits to main branch, last one 6 months ago

NeuRec wubinzzu

219

1.1k

unknown

41

Next RecSys Library

gcn sequential tensorflow autoencoder deep-learning social-network neural-networks recommender-systems adversarial-learning collaborative-filtering variational-autoencoder convolutional-neural-networks

Created 2019-02-25

217 commits to master branch, last one 3 years ago

normalizing-flows VincentStimper

121

813

mit

13

PyTorch implementation of normalizing flow models

glow pytorch real-nvp residual-flow normalizing-flow density-estimation neural-spline-flow variational-inference variational-autoencoder invertible-neural-networks

Created 2020-01-28

757 commits to master branch, last one 7 months ago

disentangling-vae YannDubs

145

812

other

13

Experiments for understanding disentanglement in VAE latent representations

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

Created 2019-01-30

270 commits to master branch, last one 2 years ago

Awesome-VAEs matthewvowels1

76

805

unknown

31

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

vae awesome-list deep-learning disentanglement generative-model variational-bayes unsupervised-learning variational-inference representation-learning variational-autoencoder variational-auto-encoder disentangled-representations

Created 2019-08-12

57 commits to master branch, last one 3 years ago

focal-frequency-loss EndlessSora

64

653

mit

37

[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis

gan loss spade generic pix2pix iccv2021 stylegan2 autoencoder complementary loss-function image-synthesis frequency-domain image-generation generative-models frequency-analysis image-reconstruction variational-autoencoder generative-adversarial-network

Created 2020-12-22

15 commits to master branch, last one 7 months ago

VAE-CVAE-MNIST timbmg

107

622

unknown

6

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

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

Created 2018-02-26

32 commits to master branch, last one 2 months ago

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

91

502

unknown

8

We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.

tensorflow time-series anomaly-detection unsupervised-learning variational-autoencoder

Created 2020-02-13

43 commits to master branch, last one 4 years ago

DALLE-mtf EleutherAI

46

433

mit

28

Open-AI's DALL-E for large scale training in mesh-tensorflow.

multimodal transformers text-to-image autoregressive artificial-intelligence variational-autoencoder

Created 2021-01-09

35 commits to main branch, last one 4 years ago

CADA-VAE-PyTorch edgarschnfld

56

288

mit

4

Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)

vae few-shot-learning zero-shot-learning variational-autoencoder generalized-zero-shot-learning

Created 2019-01-07

41 commits to master branch, last one 4 years ago

Awesome-VQVAE rese1f

9

262

mit

11

A collection of resources and papers on Vector Quantized Variational Autoencoder (VQ-VAE) and its application

vq-vae machine-learning artificial-intelligence representation-learning variational-autoencoder

Created 2023-03-12

43 commits to main branch, last one about a month ago

brain-inspired-replay GMvandeVen

65

234

mit

7

A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).

replay split-mnist distillation deep-learning brain-inspired permuted-mnist split-cifar100 internal-replay generative-replay lifelong-learning continual-learning incremental-learning synaptic-intelligence replay-through-feedback variational-autoencoder artificial-neural-networks elastic-weight-consolidation

Created 2020-08-04

10 commits to master branch, last one 3 years ago

ResNetVAE hsinyilin19

30

229

unknown

6

Variational AutoEncoder + ResNet Transfer Learning

vae resnet transfer-learning variational-autoencoder

Created 2019-07-28

11 commits to master branch, last one 4 years ago

Variational-Recurrent-Autoencoder-Tensorflow Chung-I

72

227

unknown

17

A tensorflow implementation of "Generating Sentences from a Continuous Space"

vae tensorflow variational-autoencoder recurrent-neural-networks

Created 2016-11-13

118 commits to master branch, last one 4 years ago

CodeSLAM silviutroscot

23

202

unknown

11

Implementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)

slam vision pytorch autoencoder deep-learning computer-vision paper-implementations representation-learning variational-autoencoder representations-learning

Created 2019-12-21

35 commits to master branch, last one 2 years ago

soft-intro-vae-pytorch taldatech

27

197

apache-2.0

7

[CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders"

vae pytorch cvpr2021 vae-pytorch soft-introvae soft-intro-vae image-generation density-estimation variational-autoencoder

Created 2020-12-15

20 commits to main branch, last one 2 years ago

sqvae sony

22

187

apache-2.0

7

Pytorch implementation of stochastically quantized variational autoencoder (SQ-VAE)

vae vq-vae pytorch bayesian gumbel-softmax generative-model machine-learning vector-quantization deep-generative-model variational-autoencoder

Created 2022-05-26

8 commits to main branch, last one 2 years ago

vde msmbuilder

43

186

mit

12

Variational Autoencoder for Dimensionality Reduction of Time-Series

python pytorch time-series deep-learning molecular-dynamics computational-biology computational-chemistry variational-autoencoder

Created 2017-11-24

21 commits to master branch, last one 2 years ago

Unsupervised_Anomaly_Detection_Brain_MRI StefanDenn3r

34

184

gpl-3.0

7

Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study

gan mri autoencoder segmentation deep-learning anomaly-detection unsupervised-learning variational-autoencoder

Created 2020-04-06

11 commits to master branch, last one 2 years ago

VAME LINCellularNeuroscience

62

183

gpl-3.0

11

Variational Animal Motion Embedding - A tool for time series embedding and clustering

vame neuroscience behavior-analysis behavior-quantification variational-autoencoder

Created 2020-04-10

319 commits to master branch, last one 5 months ago

MuseMorphose YatingMusic

36

179

mit

4

PyTorch implementation of MuseMorphose (published at IEEE/ACM TASLP), a Transformer-based model for music style transfer.

pytorch transformer music-generation music-style-transfer variational-autoencoder

Created 2021-07-19

21 commits to main branch, last one 2 years ago

fusilli florencejt

14

178

agpl-3.0

4

A Python package housing a collection of deep-learning multi-modal data fusion method pipelines! From data loading, to training, to evaluation - fusilli's got you covered 🌸

cnn imaging pytorch multi-view multimodal data-fusion multimodality machine-learning pytorch-lightning attention-mechanism multi-view-learning graph-neural-network multivariate-analysis variational-autoencoder multimodal-deep-learning

Created 2023-08-16

252 commits to main branch, last one 6 months ago

BNAF nicola-decao

34

178

mit

8

Pytorch implementation of Block Neural Autoregressive Flow

neural-networks normalizing-flows density-estimation variational-autoencoder

Created 2019-04-02

26 commits to master branch, last one 3 years ago