adammenges

<div class="world"></div>
<div class="title">
	<p>Looking at these waves for 1 minute<br/>will bring you 56% more serenity*</p>
<p class="remark">* According to a very serious and reliable study conducted by myself.</p>

	<div class="credits">
 <a href="https://codepen.io/Yakudoo/" target="blank">my other codepens</a> | <a href="https://www.epic.net" target="blank">epic.net</a></div>
	
</div>

adammenges

from keras.layers import Dense
from keras.layers import Flatten
from keras.layers import Conv2D
from keras.layers import MaxPooling2D
from keras.layers import Dropout
from keras.models import Sequential

def vgg16():
	model = Sequential()
	model.add(Conv2D(64, (3, 3), padding='same', activation='relu', input_shape=(224, 224, 3)))

adammenges

youtube-dl

install it via

brew install youtube-dl

full playlist

here's for fast ai's course:

adammenges

"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)

adammenges

import string, sklearn, random

from sklearn.feature_extraction.text import CountVectorizer, TfidfTransformer
from sklearn.svm import SVC
from sklearn.pipeline import Pipeline
from sklearn.grid_search import GridSearchCV
from sklearn.cross_validation import StratifiedKFold

def tok(m):
  return m.split()

adammenges

# coding: utf-8
import requests
import os.path
import time

def multiple_tries(func, times, timeout):
	for cnt in xrange(1, times + 1):
		try:
			return func()
		except Exception, e:

adammenges

##############################################################################
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##                      ( \/ )(  )   ___(  _ \ /  \(_  _)                   ##
##                      / \/ \/ (_/\(___)) _ ((  O ) )(                     ##
##                      \_)(_/\____/    (____/ \__/ (__)                    ##
##                                                                          ##
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##   The beginings of an ml-bot. To start, he'll let us know when           ##

adammenges

### Keybase proof

I hereby claim:

  * I am adammenges on github.
  * I am adammenges (https://keybase.io/adammenges) on keybase.
  * I have a public key whose fingerprint is 4C50 C670 FDCD 994E EC08  D308 C8A2 1C16 63B6 3476

To claim this, I am signing this object:

adammenges

#############################
#
# Needed it to download this guy: https://www.youtube.com/playlist?list=PLPemlF-zX2ydW5QoNsHpQiLCQKIKdjvoo
# 
# Figured why not stick it up on github too.
#
#############################

import pafy
import os

adammenges

def balancedParens(s):
  stack, opens, closes = [], ['(', '[', '{'], [')', ']', '}']
  for c in s:
    if c in opens:
      stack.append(c)
    elif c in closes:
      try:
        if opens.index(stack.pop()) != closes.index(c):
          return False
      except (ValueError, IndexError):