Experiments with Generative Adversarial Networks (GANs)
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Updated
Jan 22, 2018 - Python
Experiments with Generative Adversarial Networks (GANs)
Image Completion with Deep Learning in TensorFlow
Modification of original DCGAN code by Radford et.al.
Adidas Hackathon Amsterdam 2018: Customize products with unique style transfer
Generate Faces using GANs
DCGAN to generate 64x64 Anime Avatars
Pytorch implementation of DCGAN
An experiment in DCGAN using Donald Trump's face as the dataset benchmark
PyTorch implementation of image inpainting technique as proposed in paper "Sementic Image Inpainting with Deep Generative Modes by R.A. Yeh et al."
A python package that'll help you train DCGAN models with your own image based data.
Tensorflow 2.x implementation of DCGAN
Reproducing results of HVAE paper, by implementing vanilla VAE, HVAE (with VampPrior), GAN, and DCGAN.
Artificial Face Generation using DCGAN.
Probability distribution learning with GANs - DCGAN, CycleGAN
A brand-new dataset consisting of 600k images of segmented and unsegmented synthetic Earth terrain images
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