Pytorch implementation of Wasserstein GANs with Gradient Penalty
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Dec 4, 2020 - Python
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gradient-penalty
Here are 17 public repositories matching this topic...
Code for the paper "TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks"
pytorch generative-adversarial-network wasserstein-gan gradient-penalty time-series-anomaly-detection
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Sep 30, 2021 - Python
Generalized Loss-Sensitive Generative Adversarial Networks (GLS-GAN) in PyTorch with gradient penalty, including both LS-GAN and WGAN as special cases.
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Mar 4, 2018 - Python
A conditional Wasserstein Generative Adversarial Network with gradient penalty (cWGAN-GP) for stochastic generation of galaxy properties in wide-field surveys
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Aug 19, 2022 - Python
Keras implementation of WGAN GP for face generation. The model is trained on CelebA dataset.
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Oct 2, 2020 - Jupyter Notebook
My version of cWGAN-gp. Simply my cDCGAN-based but using the Wasserstein Loss and gradient penalty.
machine-learning deep-learning gan wasserstein-gan gradient-penalty conditional-gan wasserstein-distance
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Jun 19, 2022 - Python
GANs: Losses, Regularizations and Normalizations
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Sep 5, 2018 - Python
Wasserstein GAN with Gradient Penalty in DL4S
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Apr 19, 2021 - Swift
PyTorch implementation of 'PGGAN' (Karras et al., 2018) from scratch and training it on CelebA-HQ at 512 × 512
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Nov 26, 2024 - Python
Generating shoes with GANs in sake of lulz and education
lasagne theano deep-learning generative-adversarial-network gan wgan wasserstein-gan gradient-penalty
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Aug 31, 2017 - Jupyter Notebook
Major GANs are implemented in this repository 🔥
tensorflow gan neural-networks gans wasserstein-gan gradient-penalty wasserstein-gans progressive-gan eager-execution tf-gans
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Jan 3, 2020 - Python
Tensorflow implementation for training GANs with various objectives and gradient penalties, different network architectures, both image and word generations
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Dec 7, 2022 - Python
A brief visualization of how GP(Gradient Penalty) for GAN works
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Apr 20, 2019 - Jupyter Notebook
Image to Image translation using conditional GANs with Wasserstein loss and gradient penalty
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Sep 15, 2022 - Python
LSTM-based GAN for simulating DNA sequence evolution
lstm generative-adversarial-network evolution-simulation dna-sequences gradient-penalty wasserstein-loss
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Aug 24, 2022 - Python
generative-adversarial-network mnist dcgan mnist-classification wgan lsgan wgan-gp gradient-penalty wassertein-gan loss-sensitive-gan
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Apr 19, 2018 - Python
This project demonstrates a GAN built with PyTorch, using a subset of 5000 CelebA images. It leverages Wasserstein GAN with Gradient Penalty (WGAN-GP) for facial image generation. The provided models are trained for 200 epochs, showcasing integration of techniques from key research papers. Deeper Networks and more Training can improve results.
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Sep 2, 2024 - Jupyter Notebook
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