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Mike Vella vellamike

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  • Oxford, UK
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@SEJeff
SEJeff / gist:4207694
Created December 4, 2012 19:19
Testing jinja from the python interactive shell
>>> from jinja2 import Template
>>> tmpl = """{% if name != "Jeff" %}Nothing to see here move along{% else %}
... hello {{name}}, how are you?{% endif %}"""
>>> template = Template(tmpl)
>>> print template.render({"name": "Jeff"})
hello Jeff, how are you?
>>> print template.render({"name": "John"})
Nothing to see here move along
>>>
@tonyseek
tonyseek / README.rst
Last active November 5, 2022 15:20
Build Python binding of C++ library with cffi (PyPy/Py3K compatible)

Run with Python:

pip-2.7 install cffi
PYTHON=python2.7 sh go.sh

Run with PyPy:

pip-pypy install cffi
PYTHON=pypy sh go.sh
@tokestermw
tokestermw / restore_tf_models.py
Created February 21, 2017 21:09
Restoring frozen models are hard in TensorFlow.
"""
Play with saving .
Closest:
https://github.com/tensorflow/tensorflow/issues/616#issuecomment-205620223
"""
import numpy as np
import tensorflow as tf
from tensorflow.python.platform import gfile
@koaning
koaning / tf.py
Created March 9, 2017 16:13
tensorflow layer example
import tensorflow as tf
import numpy as np
import uuid
x = tf.placeholder(shape=[None, 3], dtype=tf.float32)
nn = tf.layers.dense(x, 3, activation=tf.nn.sigmoid)
nn = tf.layers.dense(nn, 5, activation=tf.nn.sigmoid)
encoded = tf.layers.dense(nn, 2, activation=tf.nn.sigmoid)
nn = tf.layers.dense(encoded, 5, activation=tf.nn.sigmoid)
nn = tf.layers.dense(nn, 3, activation=tf.nn.sigmoid)