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Search results for jupyter notebook wgan
jupyter-notebook
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wgan
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37 search results found
Ganotebooks
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1,335
wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch
Ydata Synthetic
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1,201
Synthetic data generators for tabular and time-series data
Tensorflow Tutorial
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886
Some interesting TensorFlow tutorials for beginners.
Wgan Tensorflow
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557
a tensorflow implementation of WGAN
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
Generative_adversarial_networks_101
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190
Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.
Gan Tutorial
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190
Simple Implementation of many GAN models with PyTorch.
Deep Learning Random Explore
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172
Pixyzoo
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97
Implementation codes of deep generative models with Pixyz
Coursera Gan Specialization
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93
Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
Fake Face Images Detection Tensorflow
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71
Learning to detect fake face images in the wild. We use a deep fully convolutional network based on Siamese network and contrastive loss.
Datascience Projects
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57
A collection of personal data science projects
Generative Model
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46
Repository for implementation of generative models with Tensorflow 1.x
Optimistic_gan_training
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37
First_order_gan
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33
Create images and texts with the First Order Generative Adversarial Networks arxiv.org/abs/1802.04591
Generative_deep_learning
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15
Generative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)
Dragen1860 Tensorflow 2.x Tutorials
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13
Gan Anime Characters
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13
Applied several Generative Adversarial Networks (GAN) techniques such as: DCGAN, WGAN and StyleGAN to generate Anime Faces and Handwritten Digits.
Tf2 Keras Gan Notebooks
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11
Generative Adversarial Networks with TensorFlow2, Keras and Python (Jupyter Notebooks Implementations)
Wae Wgan
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9
Reimplementation of Wasserstein Auto Encoder (WAE) with Wasserstein GAN based penalty D_Z in Tensorflow
Superesolution And Watermark Removal
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8
Using unet and wgan to enhance resolution and remove watermark
Tensorflow2.0tutorials
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8
This Gemstone Does Not Exist
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8
Deep Convolutional Generative Adversarial Network (DCGAN) for generating gemstones.
F Wgan
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7
Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020
Metropolis Hasting Wgan On Stock Prediction
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7
Use metropolis hasting to enhance gan on stock prediction
Pytorch Wgan Gp
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7
A pytorch implementation of WGAN-GP
Excel For Deep Learning
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7
Wasserstein Gan
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6
PyTorch implementation of Wasserstein GAN paper
Wgan_ai_logo
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6
Generation of AI logos using Wasserstein GAN. PyTorch, fastai.
Generative Deep Learning
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6
Implementations of the models discussed in the book Generative Deep Learning by David Foster
Anomalies Gan Hsc
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6
detecting anomalies in hyper suprime-cam images with generative adversarial networks
Wgan Gp Pytorch
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6
Implementation of "Improved Training of Wasserstein GANs" in PyTorch
Adversarial_lipschitz_regularization
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6
Adversarial Lipschitz Regularization
Higan
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6
Wgan Pytorch
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6
Implementing WGAN by pytorch
Generative Models Papers With Implementation In Keras
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5
Implementation of Generative Adversarial Network Models in Keras (with Tensorflow backend)..
Generative Models
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5
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