gwgundersen

# Because I always forget how to do this.
#
# Credit: https://scipython.com/blog/visualizing-the-bivariate-gaussian-distribution/

import numpy as np
import matplotlib.pyplot as plt
from   matplotlib import cm
from   mpl_toolkits.mplot3d import Axes3D
from   scipy.stats import multivariate_normal

gwgundersen

"""=============================================================================
Autoencoder based on "vanilla_ae" that has good results on CelebA:

Credit: https://github.com/bhpfelix/Variational-Autoencoder-PyTorch
============================================================================="""

from   torch import nn
from   torch.nn import functional as F

# ------------------------------------------------------------------------------

gwgundersen

import matplotlib.pyplot as plt
import numpy as np
from   scipy.stats import multivariate_normal


N    = 200
X    = np.linspace(-4, 4, N)
Y    = np.linspace(-4, 4, N)
X, Y = np.meshgrid(X, Y)
pos  = np.dstack((X, Y))

gwgundersen

{
  "id": "/myapp",
  "cmd": null,
  "cpus": 1,
  "mem": 4096,
  "disk": 0,
  "instances": 1,
  "constraints": [
    [
      "hostname",

gwgundersen

"""-------------------------------------------------------------------------------
- Use docstrings (https://www.python.org/dev/peps/pep-0008/#documentation-strings)
  to describe each function at a high level. They are not always required, but I
  think it's a good habit to write them.
  
- Internal functions should be prefixed with a single underscore
  (https://www.python.org/dev/peps/pep-0008/#id41).
  
- `_url_encode` - I would not put implementation details in the a comment
  describing the function. The user of a function should not care *how* the URL

gwgundersen

from collections import namedtuple
import re
import pdb

# http://tools.ietf.org/html/rfc3986#section-3.3
"""
>> c = request.urlparse("http://gregorygundersen.com")
>> c
ParseResult(scheme='http', netloc='gregorygundersen.com', path='', params='', query='', fragment='')
"""