[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://b.thumbs.redditmedia.com/vS1gjB_Nwa3EGLK5baVuT2XavaHJXICvJokA2IYOX_I.jpg "[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. submitted by /u/timburg |
