Danijar Hafner danijar

## tf_char_rnn.py
"""Character based language modeling with multi-layer GRUs.

To train the model:

  python3 tf_char_rnn.py --mode training \
      --logdir path/to/logdir --corpus path/to/corpus.txt

To generate text from seed words:

  python3 tf_char_rnn.py --mode sampling \

## blog_tensorflow_sequence_labelling.py
# Example for my blog post at:
# http://danijar.com/introduction-to-recurrent-networks-in-tensorflow/
import functools
import sets
import tensorflow as tf


def lazy_property(function):
    attribute = '_' + function.__name__

## blog_tensorflow_variational_auto_encoder.py
# Full example for my blog post at:
# https://danijar.com/building-variational-auto-encoders-in-tensorflow/

import numpy as np
import matplotlib.pyplot as plt
import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data

tfd = tf.contrib.distributions

## blog_tensorflow_scope_decorator.py
# Working example for my blog post at:
# https://danijar.github.io/structuring-your-tensorflow-models
import functools
import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data


def doublewrap(function):
    """
    A decorator decorator, allowing to use the decorator to be used without

## !seamless_focus_movement.md

      
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                Seamless focus switching between Vim splits, Vim tabs, and Tmux panes.
              
          
    No plugins needed!

  
## blog_tensorflow_variable_sequence_labelling.py
# Working example for my blog post at:
# http://danijar.com/variable-sequence-lengths-in-tensorflow/
import functools
import sets
import tensorflow as tf
from tensorflow.models.rnn import rnn_cell
from tensorflow.models.rnn import rnn


def lazy_property(function):

## agents_on_dm_control.py
import argparse
import os

import agents
import gym
import gym.spaces
import numpy as np
import tensorflow as tf
from dm_control import suite  # Must be imported after TensorFlow.

## blog_tensorflow_variable_sequence_classification.py
# Working example for my blog post at:
# http://danijar.com/variable-sequence-lengths-in-tensorflow/
import functools
import sets
import tensorflow as tf
from tensorflow.models.rnn import rnn_cell
from tensorflow.models.rnn import rnn


def lazy_property(function):

## blog_tensorflow_sequence_classification.py
# Example for my blog post at:
# https://danijar.com/introduction-to-recurrent-networks-in-tensorflow/
import functools
import sets
import tensorflow as tf


def lazy_property(function):
    attribute = '_' + function.__name__

## share_variables_decorator.py
import functools

import tensorflow as tf


class share_variables(object):

  def __init__(self, callable_):
    self._callable = callable_
    self._wrappers = {}
	"""Character based language modeling with multi-layer GRUs.

	To train the model:

	python3 tf_char_rnn.py --mode training \
	--logdir path/to/logdir --corpus path/to/corpus.txt

	To generate text from seed words:

	python3 tf_char_rnn.py --mode sampling \
	# Example for my blog post at:
	# http://danijar.com/introduction-to-recurrent-networks-in-tensorflow/
	import functools
	import sets
	import tensorflow as tf


	def lazy_property(function):
	attribute = '_' + function.__name__
	# Full example for my blog post at:
	# https://danijar.com/building-variational-auto-encoders-in-tensorflow/

	import numpy as np
	import matplotlib.pyplot as plt
	import tensorflow as tf
	from tensorflow.examples.tutorials.mnist import input_data

	tfd = tf.contrib.distributions
	# Working example for my blog post at:
	# https://danijar.github.io/structuring-your-tensorflow-models
	import functools
	import tensorflow as tf
	from tensorflow.examples.tutorials.mnist import input_data


	def doublewrap(function):
	"""
	A decorator decorator, allowing to use the decorator to be used without
	# Working example for my blog post at:
	# http://danijar.com/variable-sequence-lengths-in-tensorflow/
	import functools
	import sets
	import tensorflow as tf
	from tensorflow.models.rnn import rnn_cell
	from tensorflow.models.rnn import rnn


	def lazy_property(function):
	import argparse
	import os

	import agents
	import gym
	import gym.spaces
	import numpy as np
	import tensorflow as tf
	from dm_control import suite # Must be imported after TensorFlow.
	# Example for my blog post at:
	# https://danijar.com/introduction-to-recurrent-networks-in-tensorflow/
	import functools
	import sets
	import tensorflow as tf


	def lazy_property(function):
	attribute = '_' + function.__name__
	import functools

	import tensorflow as tf


	class share_variables(object):

	def __init__(self, callable_):
	self._callable = callable_
	self._wrappers = {}