ricardodeazambuja

import matplotlib.pyplot as plt

def draw_neural_net(ax, left, right, bottom, top, layer_sizes):
    '''
    Draw a neural network cartoon using matplotilb.
    
    :usage:
        >>> fig = plt.figure(figsize=(12, 12))
        >>> draw_neural_net(fig.gca(), .1, .9, .1, .9, [4, 7, 2])
    

ricardodeazambuja

def press_statistic(y_true, y_pred, xs):
    """
    Calculation of the `Press Statistics <https://www.otexts.org/1580>`_
    """
    res = y_pred - y_true
    hat = xs.dot(np.linalg.pinv(xs))
    den = (1 - np.diagonal(hat))
    sqr = np.square(res/den)
    return sqr.sum()

ricardodeazambuja

So you've cloned somebody's repo from github, but now you want to fork it and contribute back. Never fear!

Technically, when you fork "origin" should be your fork and "upstream" should be the project you forked; however, if you're willing to break this convention then it's easy.

* Off the top of my head *

1. Fork their repo on Github
2. In your local, add a new remote to your fork; then fetch it, and push your changes up to it

    git remote add my-fork [email protected]

ricardodeazambuja

#!/usr/bin/env python

"""
How to use it:
1. Just `kill -2 PROCESS_ID` or `kill -15 PROCESS_ID`,
   The Tornado Web Server Will shutdown after process all the request.
2. When you run it behind Nginx, it can graceful reboot your production server.
"""

import time

ricardodeazambuja

# Install the PyDrive wrapper & import libraries.
!pip install -U -q PyDrive
from pydrive.auth import GoogleAuth
from pydrive.drive import GoogleDrive
from google.colab import auth
from oauth2client.client import GoogleCredentials

# Authenticate and create the PyDrive client.
auth.authenticate_user()
gauth = GoogleAuth()

ricardodeazambuja

/* 
 * Set up your Git configuration 
 */

git config --global user.email "[email protected]"

git config --global user.name "Your Name"

git config --global core.editor "nano"

ricardodeazambuja

OS X Screencast to animated GIF

This gist shows how to create a GIF screencast using only free OS X tools: QuickTime, ffmpeg, and gifsicle.

Instructions

To capture the video (filesize: 19MB), using the free "QuickTime Player" application:

ricardodeazambuja

Code for Keras plays catch blog post

Train

python qlearn.py

Test

1. Generate figures