wassname

"""
Convert .gitignore to .dockerignore: quick and dirty. 

This is a quick and dirty script to convert this:
`__pycache__/`

Into this:
```
__pycache__
*/__pycache__

wassname

/**
 * Lodash mixins for combinatorics
 * by: wassname & visangela 
 * url: https://gist.github.com/wassname/a882ac3981c8e18d2556/edit
 * lodash contrib issue: https://github.com/node4good/lodash-contrib/issues/47
 * lic: same as lodash
 * Inspired by python itertools: https://docs.python.org/2.7/library/itertools.html
 *
 * Usage:
 *   permutations([0,1,2],2)                 // [[0,1],[0,2],[1,0],[1,2],[2,0],[2,1]]

wassname

/** 
 * eslint.recommended (annotated)
 * ================
 * Annotated defaults based on eslint.recommended
 *
 * @author: wassname
 * @license: MIT
 * @website https://gist.github.com/wassname/4693303388396c5f074b10865a969b43
 * @date 2017-11-13T23:08
 * @eslint-version: 4.11.0

fvisin

class RunningStats:
    """Computes running mean and standard deviation
    Adapted from:
        *
        <http://stackoverflow.com/questions/1174984/how-to-efficiently-\
calculate-a-running-standard-deviation>
        * <http://mathcentral.uregina.ca/QQ/database/QQ.09.02/carlos1.html>
    """

    def __init__(self):

the-winter

wassname

"""
A weighted version of categorical_crossentropy for keras (2.0.6). This lets you apply a weight to unbalanced classes.
@url: https://gist.github.com/wassname/ce364fddfc8a025bfab4348cf5de852d
@author: wassname
"""
from keras import backend as K
def weighted_categorical_crossentropy(weights):
    """
    A weighted version of keras.objectives.categorical_crossentropy
    

asross

"""
Examples:

with figure_grid(5, 3) as grid:
  grid.next()
  # plot something
  grid.next()
  # plot something
  # ...etc
  

wassname

"""
A keras attention layer that wraps RNN layers.

Based on tensorflows [attention_decoder](https://github.com/tensorflow/tensorflow/blob/c8a45a8e236776bed1d14fd71f3b6755bd63cc58/tensorflow/python/ops/seq2seq.py#L506) 
and [Grammar as a Foreign Language](https://arxiv.org/abs/1412.7449).

date: 20161101
author: wassname
url: https://gist.github.com/wassname/5292f95000e409e239b9dc973295327a
"""

Kaixhin

Probability notation

Note: Great refresher/glossary on probability/statistics and related topics here

Notation	Definition
X	Random variable
P(X)	Probability distribution over random variable X
X ~ P(X)	Random variable X follows (~) the probability distribution P(X) *

wassname

"""
Url: https://gist.github.com/wassname/1393c4a57cfcbf03641dbc31886123b8
"""
import unicodedata
import string

valid_filename_chars = "-_.() %s%s" % (string.ascii_letters, string.digits)
char_limit = 255

def clean_filename(filename, whitelist=valid_filename_chars, replace=' '):