timsainb / tensorflow2-generative-models

Implementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is self contained in a jupyter notebook for easy export to colab.

timsainb/tensorflow2-generative-models Issues

AttributeError: 'VAEGAN' object has no attribute 'D_prop'
Updated 10 months ago1
WGAN-GP Loss
Closed 2 years ago1
Complete Requirements of the Environment
Updated 3 years ago2
Activation function for discriminator of WGAN-GP
Updated 3 years ago
Tensor is unhashable. Instead, use tensor.ref() as the key.
Updated 4 years ago1
incorrect discriminator loss in GAIA notebook
Updated 4 years ago4
GPU not being used
Closed 4 years ago
Incorrect loss for AutoEncoder
Updated 5 years ago2
Correct loss in GAN implementation?
Closed 5 years ago1
InfoGAN in Tf2.0
Updated 5 years ago