I hereby claim:
- I am 23pointsNorth on github.
- I am 23pointsnorth (https://keybase.io/23pointsnorth) on keybase.
- I have a public key whose fingerprint is 5CA6 9344 602A 2200 C452 99B0 57F6 8CE9 65C6 6EF0
To claim this, I am signing this object:
| <head> | |
| <style> | |
| body { | |
| background-color: #fefbd8; | |
| } | |
| h1 { | |
| background-color: #80ced6; | |
| } |
| # This is based on code examples here | |
| # https://docs.bokeh.org/en/latest/docs/user_guide/tools.html | |
| # And has been modified to be abstracted better. | |
| import json | |
| from pathlib import Path | |
| import numpy as np | |
| from bokeh.embed import json_item | |
| from bokeh.io import output_file, show |
| from flask import Flask, render_template | |
| from flask.ext.security import SQLAlchemyUserDatastore, Security | |
| from flask.ext.sqlalchemy import SQLAlchemy | |
| from flask.ext.bootstrap import Bootstrap | |
| from flask_mail import Mail | |
| from flask.ext.security import UserMixin, RoleMixin | |
| app = Flask(__name__) |
| import csv | |
| import matplotlib.pyplot as plt | |
| import matplotlib as mpl | |
| import numpy as np | |
| def movingaverage(interval, window_size): | |
| window= np.ones(int(window_size))/float(window_size) | |
| return np.convolve(interval, window, 'same') | |
| '''This script demonstrates how to build a variational autoencoder | |
| with Keras and deconvolution layers. | |
| Reference: "Auto-Encoding Variational Bayes" https://arxiv.org/abs/1312.6114 | |
| ''' | |
| import numpy as np | |
| # import matplotlib.pyplot as plt | |
| from keras.layers import Input, Dense, Lambda, Flatten, Reshape | |
| from keras.layers import Convolution2D, Deconvolution2D |
| #!/usr/bin/python | |
| """ | |
| Author: Jeremy M. Stober | |
| Program: GP.PY | |
| Date: Thursday, July 17 2008 | |
| Description: Example of Gaussian Process Regression. | |
| """ | |
| from numpy import * | |
| import pylab |
I hereby claim:
To claim this, I am signing this object: