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PyTorch-GAN Alternatives
Similar projects and alternatives to PyTorch-GAN
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contrastive-unpaired-translation
Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
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tt-vae-gan
Timbre transfer with variational autoencoding and cycle-consistent adversarial networks. Able to transfer the timbre of an audio source to that of another.
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denoising-diffusion-gan
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs https://arxiv.org/abs/2112.07804
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SaaSHub
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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better PyTorch-GAN alternative or higher similarity.
PyTorch-GAN reviews and mentions
Posts with mentions or reviews of PyTorch-GAN.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-09-07.
- How to run large GAN models on colab with Celeb dataset
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Cleansing Image for Cataloging(see description)
there are many image to image translation models you can choose from. A good starting point would be PyTorch-GAN. I guess you're able to pick one by experimenting yourself. Good luck in your interesting work, and report back once you're done.
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[P] Pythae: Unifying Generative AutoEncoders in Python - What's new ?
By the way, if you are interested in GANs, this repository may help you: https://github.com/eriklindernoren/PyTorch-GAN.
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Help learning GAN architecture
If you are familiar with pytorch, I highly recommand to take a look at https://github.com/eriklindernoren/PyTorch-GAN as they have papers and implementations
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[D] What is current SOTA in Image to Image Translation?
I also happen to know of a old (but it checks out) mass-port-to-pytorch github: https://github.com/eriklindernoren/PyTorch-GAN . That one is handy for more seeing what kind of models are out there, but they're probably not SOTA.
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[P] Voice Conversion VAE-Cycle-GAN on Melspectrograms
Hi just an update to whom ever faces a similar issue. I've fixed it.The key change was redefining the encoder loss - where kld is defined without logvar (only mu) and the reconstruction loss is defined with L1 rather than MSE. This was a helpful resource on the matter https://github.com/eriklindernoren/PyTorch-GAN/blob/master/implementations/unit/unit.py
- I created a GAN to generate Minecraft skins - http://perceptrons.tk:8501/
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Stats
Basic PyTorch-GAN repo stats
7
15,732
0.0
3 days ago
eriklindernoren/PyTorch-GAN is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of PyTorch-GAN is Python.
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