Search Results - RepositoryStats

tensorflow-generative-model-collections hwalsuklee

855

3.9k

apache-2.0

159

Collection of generative models in Tensorflow

Created 2017-08-24

76 commits to master branch, last one 6 years ago

benchmark_VAE clementchadebec

167

1.8k

apache-2.0

18

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 5 months ago

bayesian-machine-learning krasserm

464

1.8k

apache-2.0

77

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 9 months ago

continual-learning GMvandeVen

314

1.6k

mit

28

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

41 commits to master branch, last one 9 months ago

scvi-tools scverse

366

1.3k

bsd-3-clause

26

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

4,123 commits to main branch, last one 5 days ago

Repo-2017 RubensZimbres

676

1.2k

unknown

125

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

257

1.2k

mit

33

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 8 months ago

intro_dgm jmtomczak

178

1.1k

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 3 months ago

NeuRec wubinzzu

218

1.1k

unknown

42

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

disentangling-vae YannDubs

145

801

other

14

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 about a year ago

Awesome-VAEs matthewvowels1

77

789

unknown

32

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

normalizing-flows VincentStimper

110

749

mit

15

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 3 months ago

focal-frequency-loss EndlessSora

64

648

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 4 months ago

VAE-CVAE-MNIST timbmg

104

593

unknown

8

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

30 commits to master branch, last one about a year ago

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

87

476

unknown

10

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

45

434

mit

29

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 3 years ago

CADA-VAE-PyTorch edgarschnfld

57

282

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

8

237

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

42 commits to main branch, last one 8 months ago

brain-inspired-replay GMvandeVen

64

228

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

Variational-Recurrent-Autoencoder-Tensorflow Chung-I

72

228

unknown

18

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

ResNetVAE hsinyilin19

31

224

unknown

6

Variational AutoEncoder + ResNet Transfer Learning

vae resnet transfer-learning variational-autoencoder

Created 2019-07-28

11 commits to master branch, last one 3 years ago

CodeSLAM silviutroscot

23

198

unknown

12

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

26

196

apache-2.0

8

[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