tensorflow2-generative-models-master.zip
Generative models in Tensorflow 2
Tim Sainburg (PhD Candidate, UCSD, Gentner Laboratory)
This is a small project to implement a number of generative models in Tensorflow 2. Layers and optimizers use Keras. The models are implemented for two datasets: fashion MNIST, and NSYNTH. Networks were written with the goal of being as simple and consistent as possible while still being readable. Because each network is self contained within the notebook, they should be easily run in a colab session.
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