Experimental implementations of various things with TensorFlow
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Garrett Wilson 64535e2192 more consistent with pep8 1 year ago
RNN Updated README, removed duplicate dataset script 2 years ago
Unconditional GAN Added non-notebook version of unconditional GAN 2 years ago
VAE Added RNN 2 years ago
VRNN Updated README, removed duplicate dataset script 2 years ago
self-ensembling more consistent with pep8 1 year ago
tf2-GAN more consistent with pep8 1 year ago
tf2-hello-world TensorFlow 2.0 hello world and GAN 1 year ago
.gitignore plot for real MNIST for GAN presentation 1 year ago
README.md started self-ensembling demo 1 year ago
generate_trivial_datasets.py Maybe made "trivial" dataset easier 2 years ago

README.md

TensorFlow Experiments

Experimental implementations of various things with TensorFlow. Here GANs and VAEs were tested on MNIST. RNNs were tested on some time-series datasets, e.g. UCR Time Series Classification Archive or the trivial positive/negative-slope dataset generated by generate_trivial_datasets.py.

TensorFlow 1.x

  • Generative Adversarial Networks (GANs)
    • CycleGAN - see separate repo
    • GAN using tfgan - see Unconditional GAN/
  • Variational Autoencoders (VAEs) - see VAE/
  • Recurrent Neural Networks (RNNs)
    • LSTM, GRU, SimpleRNN, etc. comparison - see RNN/
    • VRNN - see VRNN/
    • VRADA - see separate repo

TensorFlow 2.x

  • tf2-hello-world
  • tf2-GAN
  • self-ensembling