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[P] Reimplementations of several generative models in Tensorflow 2.0 (VAE, DCGAN, WPGAN-GP, Seq2Seq, GAIA, Spectrogramming iterator/inversion) with links to self contained colab notebooks

[P] Reimplementations of several generative models in Tensorflow 2.0 (VAE, DCGAN, WPGAN-GP, Seq2Seq, GAIA, Spectrogramming iterator/inversion) with links to self contained colab notebooks

https://github.com/timsainb/tensorflow2-generative-models/

I reimplemented and trained a bunch of different networks for a project I’m working on (in birdsong), and decided to also put online the same notebooks for more general use trained on fashion-MNIST and NSYNTH. I made each network self-contained in a notebook and set those notebooks up so they would automatically download the required packages in colab so they would be easier to run online.

Some of these models I haven’t tried to re-implement since tensorflow was in its early (v0.0X) days. I was really impressed with how easy and intuitive it is to implement models in 2019. I did run into a bug or two with TF 2.0, and ended up opting for running the nightly version rather than 2.0alpha but for the most part tensorflow 2 seems very stable and I would recommend anyone starting a new project to use it over Tensorflow 1.X at this point.

https://i.redd.it/zqxg56gsi8y21.png

submitted by /u/timburg
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.