Collection of generative models in Tensorflow
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Updated
Aug 8, 2022 - Python
Collection of generative models in Tensorflow
Collection of generative models in Pytorch version.
Resources and Implementations of Generative Adversarial Nets which are focusing on how to stabilize training process and generate high quality images: DCGAN, WGAN, EBGAN, BEGAN, etc.
Tensorflow implementation of Energy Based Generative Adversarial Networks (EBGAN)
PyTorch implementations of Generative Adversarial Network series
Playing with MNIST. Machine Learning. Generative Models.
Pytorch implementation of EBGAN(arxiv:1609.03126)
This is the repository for the Master of Science thesis titled "GAN-based Matrix Factorization for Recommender Systems".
A implement of GAN-collection for tensorflow version
Standard Deep Learning Models implemented in pytorch framework
Pytorch implementations of GANs
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