jaejun-yoo/tf-dann-py35

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jaejun-yoo/tf-dann-py35

jaejun-yoo

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Tensorflow-gpu (1.0.0.rc2, Window, py35) implementation of Domain Adversarial Neural Network

TDDIP

Time-Dependent Deep Image Prior for Dynamic MRI

RNN-implementation-using-Numpy-binary-digit-addition

RNN implementation using only Numpy. Try to learn binary digit addition.

Jupyter Notebook

shallow-DANN-two-moon-dataset

Implementation: shallow Domain Adaptation Neural Network (DANN) with two moon dataset / % reference : https://arxiv.org/pdf/1505.07818v4.pdf

framing-unet

## Quick and naive implementation of framing U-net paper in Keras (tf backend)

Jupyter Notebook

gan_tutorial

GAN and WGAN tutorial codes

Jupyter Notebook

wct2_trainer

I am not sure this was the final version for training the wave encoder and decoder that I used for the paper, but this is what I can find for now.

toyGAN

based on Eric Jang's ipynb codes

Three-ways-to-avoid-tf.one_hot-function-

Three ways to avoid tf.one_hot() function

Jupyter Notebook