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40 search results found
Tensorflow Generative Model Collections
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3,570
Collection of generative models in Tensorflow
Pytorch Generative Model Collections
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1,985
Collection of generative models in Pytorch version.
Deeplearningimplementations
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1,772
Implementation of recent Deep Learning papers
Tensorflow 101
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1,100
learn code with tensorflow
Generative Models
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414
Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
Ac Gan
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379
A tensorflow implementation of google's AC-GAN ( Auxiliary Classifier GAN ).
Srgan
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285
A tensorflow implemenation of Christian et al's SRGAN(super-resolution generative adversarial network)
Timeseries_gan
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246
A tensorflow implementation of GAN ( exactly InfoGAN or Info GAN ) to one dimensional ( 1D ) time series data.
Ebgan
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206
A tensorflow implementation of Junbo et al's Energy-based generative adversarial network ( EBGAN ) paper.
Tensorflow Infogan
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148
🎎 InfoGAN: Interpretable Representation Learning
Infogan Pytorch
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143
PyTorch Implementation of InfoGAN
Infogan Pytorch
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122
implement infoGAN using pytorch
Generative_adversarial_networks_pytorch
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113
(PyTorch) Implementations of GAN, Improved GAN, DCGAN, LAPGAN, and InfoGAN in PyTorch
Supervised_infogan
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100
A tensorflow implementation of informative generative adversarial network (InfoGAN ). I've added supervised loss to original InfoGAN.
Gan Image Similarity
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88
InfoGAN inspired neural network trained on zap50k images (using Tensorflow + tf-slim). Intermediate layers of the discriminator network are used to do image similarity.
Gans Collections Tf2.0_keras Eager_mode
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85
This repository implements all kinds of GAN-models based on tensorflow2.0 keras API including GAN, CGAN, WGAN, WGAN_GP, VAE, CVAE, LSGAN, infoGAN, EBGAN, BEGAN, ACGAN
Causal Infogan
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76
Pytorch Gans
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36
Various GANs in pytorch environment
Generative_models
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27
Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE
Image Generation Models
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22
Generative models (GAN, VAE, Diffusion Models, Autoregressive Models) implemented with Pytorch, Pytorch_lightning and hydra.
Gans Keras
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21
GANs Implementations in Keras
Performance Comparison Of Gan On Cifar 10
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20
Performance comparison of ACGAN, BEGAN, CGAN, DRAGAN, EBGAN, GAN, infoGAN, LSGAN, VAE, WGAN, WGAN_GP on cifar-10
Botvid 19
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19
botid-19 is a [Telepot](https://telepot.readthedocs.io/en/latest and selenium powerd, easy to use Telegram bot for signing Covid-19 digital health statement.
Chainer Infogan
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19
Chainer implementation of InfoGAN
Conditional Gans Pytorch
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16
CGAN ProjectionCGAN ACGAN InfoGAN Pytorch
Infogan Cr
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15
InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs, ICML 2020
Timeseries_infogan
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15
InfoGAN to generate temporal sequences.
Generative Models Collection
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12
PyTorch implemented generative models for CelebA dataset: DCGAN, LSGAN, WGAN, WGANGP, InfoGAN, BEGAN, VAE, VAEGAN
Semisupervised_timeseries_infogan
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11
A tensorflow implementation of informative generative adversarial network (InfoGAN ) to one dimensional ( 1D ) time series data with a supervised loss function. So it's called semisupervised Info GAN.
Cytogan
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11
Repository for my research on generative modelling of cell images
Tf2 Keras Gan Notebooks
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11
Generative Adversarial Networks with TensorFlow2, Keras and Python (Jupyter Notebooks Implementations)
Adversarial_oversampling
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10
Heartbeat Anomaly Detection using Adversarial Oversampling
Gans
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8
MXNet implementation of infoGAN, WGAN, CycleGAN
Multiple Gan Tensorflow Mnist
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8
Implement multiple gan including vanilla_gan, dcgan, cgan, infogan and wgan with tensorflow and dataset including mnist.
The Gan Book
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6
The GAN Book: Train stable Generative Adversarial Networks using TensorFlow2, Keras and Python.
Tf Gans
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6
Tensorflow implementation of Generative Adversarial Networks
Infogan Tensorflow
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5
InfoGAN implementation using tensorflow
Infogan Pytorch
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5
🎨 A PyTorch implementation of InfoGAN.
Gans Slides Code Paper
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5
Tutorial introduction slides to GANs. Code implementations and links of relevant papers.
Learningconceptualdimensions
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5
Learning interpretable dimensions for conceptual spaces using deep representation learning.
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