duhaime

[[[0.01, -0.17, 1.63], [0.01, -0.18, 1.62], [0.02, -0.18, 1.61], [0.02, -0.17, 1.6], [0.03, -0.16, 1.59], [0.03, -0.15, 1.58], [0.04, -0.14, 1.58], [0.05, -0.13, 1.57], [0.05, -0.12, 1.57], [0.06, -0.11, 1.57], [0.07, -0.1, 1.57], [0.08, -0.1, 1.57], [0.09, -0.09, 1.59], [0.1, -0.09, 1.6], [0.1, -0.09, 1.62], [0.09, -0.08, 1.63], [0.08, -0.07, 1.66], [0.07, -0.06, 1.68], [0.06, -0.06, 1.69], [0.05, -0.06, 1.69], [0.04, -0.07, 1.67], [0.03, -0.07, 1.65], [0.03, -0.07, 1.63], [0.02, -0.07, 1.61], [0.01, -0.07, 1.59], [0.01, -0.07, 1.58], [-0.0, -0.08, 1.58], [-0.01, -0.08, 1.59], [-0.02, -0.07, 1.61], [-0.02, -0.06, 1.64], [-0.01, -0.05, 1.68], [0.0, -0.03, 1.71], [0.01, -0.02, 1.73], [0.02, -0.01, 1.74], [0.02, -0.01, 1.74], [0.03, -0.01, 1.75], [0.04, -0.01, 1.76], [0.04, -0.02, 1.76], [0.04, -0.03, 1.76], [0.03, -0.03, 1.76], [0.03, -0.03, 1.75], [0.02, -0.04, 1.75], [0.02, -0.03, 1.74], [0.01, -0.03, 1.73], [0.01, -0.03, 1.73], [0.02, -0.02, 1.72], [0.02, -0.01, 1.71], [0.03, -0.01, 1.7], [0.04, -0.0, 1.69]

duhaime

# use in memory
connection = sqlite3.connect(':memory:')
cursor = connection.cursor()

# parameterized query
results = list(cursor.execute('SELECT * FROM table WHERE field = ?', (interpolate_me,)))

duhaime

'''
method:

compose one string from each row in the input metadata
find all sequences of one word and two consecutive words in each row
for each such sequence, break the sequence down into a sequence of characters
make a nested directory structure on disk that represents this tree
store the ids for each record at the root level for its branch
'''

duhaime

window.addEventListener('message', function(event) { console.log(event) })

duhaime

!function(e,t){"object"==typeof exports&&"object"==typeof module?module.exports=t():"function"==typeof define&&define.amd?define([],t):"object"==typeof exports?exports.Babel=t():e.Babel=t()}(this,function(){return function(e){function t(n){if(r[n])return r[n].exports;var i=r[n]={exports:{},id:n,loaded:!1};return e[n].call(i.exports,i,i.exports,t),i.loaded=!0,i.exports}var r={};return t.m=e,t.c=r,t.p="",t(0)}(function(e){for(var t in e)if(Object.prototype.hasOwnProperty.call(e,t))switch(typeof e[t]){case"function":break;case"object":e[t]=function(t){var r=t.slice(1),n=e[t[0]];return function(e,t,i){n.apply(this,[e,t,i].concat(r))}}(e[t]);break;default:e[t]=e[e[t]]}return e}([function(e,t,r){"use strict";function n(e,t){return g(t)&&"string"==typeof t[0]?e.hasOwnProperty(t[0])?[e[t[0]]].concat(t.slice(1)):void 0:"string"==typeof t?e[t]:t}function i(e){var t=(e.presets||[]).map(function(e){var t=n(E,e);if(!t)throw new Error('Invalid preset specified in Babel options: "'+e+'"');return g(t)&&"object"===h(t[0])&&t[

duhaime

from keras.layers import Lambda, Input, Dense, Reshape
from keras.models import Model
from keras.losses import mse
from keras import backend as K
import numpy as np

# reparameterization trick
# instead of sampling from Q(z|X), sample epsilon = N(0,I)
# z = z_mean + sqrt(var) * epsilon
def sampling(args):

duhaime

import matplotlib

matplotlib.use('webagg')

import numpy as np
from scipy.special import binom

import matplotlib.pyplot as plt

from matplotlib.lines import Line2D

duhaime

scrolling: yes

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duhaime

{"16384": [19052, 19053], "1": [19967], "16386": [19086, 19087, 19088, 19089, 19090, 19091, 19092, 19093, 19094], "10923": [10023, 10024, 12740, 12741, 12742, 12743, 12744, 12745], "16389": [20421], "6": [18180], "24583": [23487, 23513, 24030, 24073, 24100, 24126, 24279, 24329, 24415, 24581, 24584, 24660, 24757, 24817, 24818, 24994, 25255, 25261, 25507, 25508, 25662, 25736, 25825, 25860, 25916, 26095, 26183, 26553, 26632, 26652, 26956, 26965, 26967, 26969, 26972, 26975, 27002, 27004, 27006, 27224, 27267, 27273, 27322, 27329, 27425, 27524, 27568, 27569, 27676, 27884], "8201": [6879, 8202, 8203, 8204], "11784": [15369], "8203": [9911, 9912, 9913, 9914, 9915, 9916, 10962, 10963, 10964, 10965, 10966, 10967, 10968], "8205": [7250, 9723, 9725, 9726, 9727], "16": [24628], "17": [24893, 26771], "18": [20103], "19": [17414], "20": [18463], "21": [23109], "22": [19344], "23": [20914], "24": [17714], "25": [17062], "26": [16653], "8219": [7846, 10258, 10259], "28": [16671], "29": [24614], "30": [27250], "31": [26203], "