Tars package

Subpackages

• Tars.distributions package
  • Submodules
  • Tars.distributions.distribution_models module
  • Tars.distributions.distribution_samples module
  • Tars.distributions.estimate_kl module
  • Tars.distributions.multiple module
  • Module contents
• Tars.layers package
  • Submodules
  • Tars.layers.conv_recurrent module
  • Tars.layers.recurrent module
  • Tars.layers.shape module
  • Module contents
• Tars.models package
  • Submodules
  • Tars.models.ae module
  • Tars.models.gan module
  • Tars.models.model module
  • Tars.models.vae module
  • Module contents
• Tars.tests package
  • Submodules
  • Tars.tests.test_utils module
  • Module contents

Submodules

Tars.load_data module

Tars.load_data.celeba(datapath, toFloat=True, gray=False, rate=0.001, rseed=0)

Tars.load_data.facade(datapath)

Tars.load_data.flickr(datapath, toFloat=True)

Tars.load_data.lfw(datapath, toFloat=True, gray=False, rate=0.1, rseed=0)

Tars.load_data.mnist(datapath, toFloat=False)

Tars.load_data.one_of_k(a)

class Tars.load_data.paramaters(mean=0, std=0)

Tars.load_data.svhn(datapath, toFloat=True, binarize_y=True, gray=False, extra=True)

Tars.utils module

Tars.utils.epsilon()

Tars.utils.load_weights(network, name)

Tars.utils.log_mean_exp(x, axis=0, keepdims=False)

Tars.utils.log_sum_exp(x, axis=0, keepdims=False)

Tars.utils.save_weights(network, name)

Tars.utils.set_epsilon(eps)

Tars.utils.tolist(x)

Module contents