SYMBOL INDEX (175 symbols across 26 files)

FILE: aae/aae.py
  class AdversarialAutoencoder (line 19) | class AdversarialAutoencoder():
    method __init__ (line 20) | def __init__(self):
    method build_encoder (line 58) | def build_encoder(self):
    method build_decoder (line 76) | def build_decoder(self):
    method build_discriminator (line 94) | def build_discriminator(self):
    method train (line 110) | def train(self, epochs, batch_size=128, sample_interval=50):
    method sample_images (line 155) | def sample_images(self, epoch):
    method save_model (line 173) | def save_model(self):

FILE: acgan/acgan.py
  class ACGAN (line 15) | class ACGAN():
    method __init__ (line 16) | def __init__(self):
    method build_generator (line 56) | def build_generator(self):
    method build_discriminator (line 85) | def build_discriminator(self):
    method train (line 119) | def train(self, epochs, batch_size=128, sample_interval=50):
    method sample_images (line 176) | def sample_images(self, epoch):
    method save_model (line 194) | def save_model(self):

FILE: bgan/bgan.py
  class BGAN (line 18) | class BGAN():
    method __init__ (line 20) | def __init__(self):
    method build_generator (line 53) | def build_generator(self):
    method build_discriminator (line 76) | def build_discriminator(self):
    method boundary_loss (line 93) | def boundary_loss(self, y_true, y_pred):
    method train (line 100) | def train(self, epochs, batch_size=128, sample_interval=50):
    method sample_images (line 147) | def sample_images(self, epoch):

FILE: bigan/bigan.py
  class BIGAN (line 19) | class BIGAN():
    method __init__ (line 20) | def __init__(self):
    method build_encoder (line 63) | def build_encoder(self):
    method build_generator (line 82) | def build_generator(self):
    method build_discriminator (line 101) | def build_discriminator(self):
    method train (line 120) | def train(self, epochs, batch_size=128, sample_interval=50):
    method sample_interval (line 168) | def sample_interval(self, epoch):

FILE: ccgan/ccgan.py
  class CCGAN (line 21) | class CCGAN():
    method __init__ (line 22) | def __init__(self):
    method build_generator (line 64) | def build_generator(self):
    method build_discriminator (line 103) | def build_discriminator(self):
    method mask_randomly (line 129) | def mask_randomly(self, imgs):
    method train (line 145) | def train(self, epochs, batch_size=128, sample_interval=50):
    method sample_images (line 205) | def sample_images(self, epoch, imgs):
    method save_model (line 228) | def save_model(self):

FILE: cgan/cgan.py
  class CGAN (line 15) | class CGAN():
    method __init__ (line 16) | def __init__(self):
    method build_generator (line 55) | def build_generator(self):
    method build_discriminator (line 82) | def build_discriminator(self):
    method train (line 109) | def train(self, epochs, batch_size=128, sample_interval=50):
    method sample_images (line 161) | def sample_images(self, epoch):

FILE: cogan/cogan.py
  class COGAN (line 18) | class COGAN():
    method __init__ (line 20) | def __init__(self):
    method build_generators (line 60) | def build_generators(self):
    method build_discriminators (line 92) | def build_discriminators(self):
    method train (line 115) | def train(self, epochs, batch_size=128, sample_interval=50):
    method sample_images (line 174) | def sample_images(self, epoch):

FILE: context_encoder/context_encoder.py
  class ContextEncoder (line 19) | class ContextEncoder():
    method __init__ (line 20) | def __init__(self):
    method build_generator (line 60) | def build_generator(self):
    method build_discriminator (line 99) | def build_discriminator(self):
    method mask_randomly (line 121) | def mask_randomly(self, imgs):
    method train (line 140) | def train(self, epochs, batch_size=128, sample_interval=50):
    method sample_images (line 193) | def sample_images(self, epoch, imgs):
    method save_model (line 216) | def save_model(self):

FILE: cyclegan/cyclegan.py
  class CycleGAN (line 19) | class CycleGAN():
    method __init__ (line 20) | def __init__(self):
    method build_generator (line 101) | def build_generator(self):
    method build_discriminator (line 140) | def build_discriminator(self):
    method train (line 161) | def train(self, epochs, batch_size=1, sample_interval=50):
    method sample_images (line 220) | def sample_images(self, epoch, batch_i):

FILE: cyclegan/data_loader.py
  class DataLoader (line 5) | class DataLoader():
    method __init__ (line 6) | def __init__(self, dataset_name, img_res=(128, 128)):
    method load_data (line 10) | def load_data(self, domain, batch_size=1, is_testing=False):
    method load_batch (line 32) | def load_batch(self, batch_size=1, is_testing=False):
    method load_img (line 68) | def load_img(self, path):
    method imread (line 74) | def imread(self, path):

FILE: dcgan/dcgan.py
  class DCGAN (line 17) | class DCGAN():
    method __init__ (line 18) | def __init__(self):
    method build_generator (line 52) | def build_generator(self):
    method build_discriminator (line 76) | def build_discriminator(self):
    method train (line 106) | def train(self, epochs, batch_size=128, save_interval=50):
    method save_imgs (line 152) | def save_imgs(self, epoch):

FILE: discogan/data_loader.py
  class DataLoader (line 5) | class DataLoader():
    method __init__ (line 6) | def __init__(self, dataset_name, img_res=(128, 128)):
    method load_data (line 10) | def load_data(self, batch_size=1, is_testing=False):
    method load_batch (line 39) | def load_batch(self, batch_size=1, is_testing=False):
    method load_img (line 70) | def load_img(self, path):
    method imread (line 76) | def imread(self, path):

FILE: discogan/discogan.py
  class DiscoGAN (line 19) | class DiscoGAN():
    method __init__ (line 20) | def __init__(self):
    method build_generator (line 94) | def build_generator(self):
    method build_discriminator (line 141) | def build_discriminator(self):
    method train (line 162) | def train(self, epochs, batch_size=128, sample_interval=50):
    method sample_images (line 214) | def sample_images(self, epoch, batch_i):

FILE: dualgan/dualgan.py
  class DUALGAN (line 20) | class DUALGAN():
    method __init__ (line 21) | def __init__(self):
    method build_generator (line 74) | def build_generator(self):
    method build_discriminator (line 97) | def build_discriminator(self):
    method sample_generator_input (line 113) | def sample_generator_input(self, X, batch_size):
    method wasserstein_loss (line 118) | def wasserstein_loss(self, y_true, y_pred):
    method train (line 121) | def train(self, epochs, batch_size=128, sample_interval=50):
    method save_imgs (line 192) | def save_imgs(self, epoch, X_A, X_B):

FILE: gan/gan.py
  class GAN (line 17) | class GAN():
    method __init__ (line 18) | def __init__(self):
    method build_generator (line 52) | def build_generator(self):
    method build_discriminator (line 75) | def build_discriminator(self):
    method train (line 92) | def train(self, epochs, batch_size=128, sample_interval=50):
    method sample_images (line 141) | def sample_images(self, epoch):

FILE: infogan/infogan.py
  class INFOGAN (line 17) | class INFOGAN():
    method __init__ (line 18) | def __init__(self):
    method build_generator (line 64) | def build_generator(self):
    method build_disk_and_q_net (line 90) | def build_disk_and_q_net(self):
    method mutual_info_loss (line 127) | def mutual_info_loss(self, c, c_given_x):
    method sample_generator_input (line 135) | def sample_generator_input(self, batch_size):
    method train (line 143) | def train(self, epochs, batch_size=128, sample_interval=50):
    method sample_images (line 194) | def sample_images(self, epoch):
    method save_model (line 210) | def save_model(self):

FILE: lsgan/lsgan.py
  class LSGAN (line 17) | class LSGAN():
    method __init__ (line 18) | def __init__(self):
    method build_generator (line 52) | def build_generator(self):
    method build_discriminator (line 75) | def build_discriminator(self):
    method train (line 93) | def train(self, epochs, batch_size=128, sample_interval=50):
    method sample_images (line 141) | def sample_images(self, epoch):

FILE: pix2pix/data_loader.py
  class DataLoader (line 6) | class DataLoader():
    method __init__ (line 7) | def __init__(self, dataset_name, img_res=(128, 128)):
    method load_data (line 11) | def load_data(self, batch_size=1, is_testing=False):
    method load_batch (line 42) | def load_batch(self, batch_size=1, is_testing=False):
    method imread (line 74) | def imread(self, path):

FILE: pix2pix/pix2pix.py
  class Pix2Pix (line 19) | class Pix2Pix():
    method __init__ (line 20) | def __init__(self):
    method build_generator (line 75) | def build_generator(self):
    method build_discriminator (line 121) | def build_discriminator(self):
    method train (line 146) | def train(self, epochs, batch_size=1, sample_interval=50):
    method sample_images (line 188) | def sample_images(self, epoch, batch_i):

FILE: pixelda/data_loader.py
  class DataLoader (line 11) | class DataLoader():
    method __init__ (line 13) | def __init__(self, img_res=(128, 128)):
    method normalize (line 21) | def normalize(self, images):
    method setup_mnist (line 24) | def setup_mnist(self, img_res):
    method setup_mnistm (line 49) | def setup_mnistm(self, img_res):
    method load_data (line 88) | def load_data(self, domain, batch_size=1):

FILE: pixelda/pixelda.py
  class PixelDA (line 20) | class PixelDA():
    method __init__ (line 21) | def __init__(self):
    method build_generator (line 83) | def build_generator(self):
    method build_discriminator (line 111) | def build_discriminator(self):
    method build_classifier (line 132) | def build_classifier(self):
    method train (line 154) | def train(self, epochs, batch_size=128, sample_interval=50):
    method sample_images (line 217) | def sample_images(self, epoch):

FILE: sgan/sgan.py
  class SGAN (line 18) | class SGAN:
    method __init__ (line 19) | def __init__(self):
    method build_generator (line 56) | def build_generator(self):
    method build_discriminator (line 81) | def build_discriminator(self):
    method train (line 112) | def train(self, epochs, batch_size=128, sample_interval=50):
    method sample_images (line 172) | def sample_images(self, epoch):
    method save_model (line 190) | def save_model(self):

FILE: srgan/data_loader.py
  class DataLoader (line 6) | class DataLoader():
    method __init__ (line 7) | def __init__(self, dataset_name, img_res=(128, 128)):
    method load_data (line 11) | def load_data(self, batch_size=1, is_testing=False):
    method imread (line 43) | def imread(self, path):

FILE: srgan/srgan.py
  class SRGAN (line 33) | class SRGAN():
    method __init__ (line 34) | def __init__(self):
    method build_vgg (line 101) | def build_vgg(self):
    method build_generator (line 118) | def build_generator(self):
    method build_discriminator (line 163) | def build_discriminator(self):
    method train (line 191) | def train(self, epochs, batch_size=1, sample_interval=50):
    method sample_images (line 239) | def sample_images(self, epoch):

FILE: wgan/wgan.py
  class WGAN (line 19) | class WGAN():
    method __init__ (line 20) | def __init__(self):
    method wasserstein_loss (line 57) | def wasserstein_loss(self, y_true, y_pred):
    method build_generator (line 60) | def build_generator(self):
    method build_critic (line 84) | def build_critic(self):
    method train (line 114) | def train(self, epochs, batch_size=128, sample_interval=50):
    method sample_images (line 170) | def sample_images(self, epoch):

FILE: wgan_gp/wgan_gp.py
  class RandomWeightedAverage (line 26) | class RandomWeightedAverage(_Merge):
    method _merge_function (line 28) | def _merge_function(self, inputs):
  class WGANGP (line 32) | class WGANGP():
    method __init__ (line 33) | def __init__(self):
    method gradient_penalty_loss (line 106) | def gradient_penalty_loss(self, y_true, y_pred, averaged_samples):
    method wasserstein_loss (line 124) | def wasserstein_loss(self, y_true, y_pred):
    method build_generator (line 127) | def build_generator(self):
    method build_critic (line 151) | def build_critic(self):
    method train (line 181) | def train(self, epochs, batch_size, sample_interval=50):
    method sample_images (line 224) | def sample_images(self, epoch):