Johnson145

def augment(images, labels,
            resize=None, # (width, height) tuple or None
            horizontal_flip=False,
            vertical_flip=False,
            rotate=0, # Maximum rotation angle in degrees
            crop_probability=0, # How often we do crops
            crop_min_percent=0.6, # Minimum linear dimension of a crop
            crop_max_percent=1.,  # Maximum linear dimension of a crop
            mixup=0):  # Mixup coeffecient, see https://arxiv.org/abs/1710.09412.pdf
  if resize is not None:

danijar

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import numpy as np
import tensorflow as tf


class GRU(tf.contrib.rnn.RNNCell):

huynhnguyen

import numpy as np
def orthogonal_initializer(scale=1.0, seed=None, dtype=tf.float32):
    def _initializer(shape, dtype=dtype, partition_info=None):
        flat = (shape[0], np.prod(shape[1:]))
        a = np.random.normal(0.0, 1.0, flat)
        u, _, v = np.linalg.svd(a, full_matrices=False)
        q = (u if u.shape == flat else v).reshape(shape)
        return tf.constant(scale * q[:shape[0], :shape[1]], dtype=dtype)
    return _initializer

tam17aki

# -*- coding: utf-8 -*-

# Copyright (C) 2017 by Akira TAMAMORI

# Copyright (C) 2016 by hardmaru

# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell

spitis

"""adapted from https://github.com/OlavHN/bnlstm to store separate population statistics per state"""
import tensorflow as tf, numpy as np
RNNCell = tf.nn.rnn_cell.RNNCell

class BNLSTMCell(RNNCell):
    '''Batch normalized LSTM as described in arxiv.org/abs/1603.09025'''
    def __init__(self, num_units, is_training_tensor, max_bn_steps, initial_scale=0.1, activation=tf.tanh, decay=0.95):
        """
        * max bn steps is the maximum number of steps for which to store separate population stats
        """