dangpzanco

W = 500
H = 585
W1 = W - 1
H1 = H - 1

def setup
  @img = load_image '../scratch/girl.png'
  @img.filter BLUR, 3
  @img.load_pixels
end

dangpzanco

 ___________________________________________________________________
/              _   _    _              _    _             _         \
|             /_\ | |_ | |_  ___  _ _ | |_ (_) ___  _ _  | |        |
|            / _ \|  _||  _|/ -_)| ' \|  _|| |/ _ \| ' \ |_|        |
|           /_/ \_\\__| \__|\___||_||_|\__||_|\___/|_||_|(_)        |
|                                                                   |
|    __   __           _                      _                     |
|    \ \ / /___  _  _ ( )_ _  ___   _  _  ___(_) _ _   __ _   __ _  |
|     \ V // _ \| || ||/| '_|/ -_) | || |(_-<| || ' \ / _` | / _` | |
|      |_| \___/ \_,_|  |_|  \___|  \_,_|/__/|_||_||_|\__, | \__,_| |

dangpzanco

import serial
import sys
import argparse
import csv
import pathlib
from datetime import datetime


def list_serial_ports():
    """ Lists serial port names

dangpzanco

#!/data/data/com.termux/files/usr/bin/bash

folder=ubuntu-fs
if [ -d "$folder" ]; then
	first=1
	echo "skipping downloading"
fi
tarball="ubuntu.tar.gz"
if [ "$first" != 1 ];then
	if [ ! -f $tarball ]; then

dangpzanco

import numpy as np
import librosa
import pandas as pd
import numpy.random as rnd
import pathlib
import tqdm


dataset_folder = pathlib.Path('noise_data')
dataset_folder.mkdir(parents=True, exist_ok=True)

dangpzanco

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dangpzanco

#!/bin/bash

wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
mkdir ~/.conda # https://github.com/ContinuumIO/anaconda-issues/issues/11148
sh Miniconda3-latest-Linux-x86_64.sh

conda update --all -y
conda install -y tensorflow git

git clone https://github.com/tensorflow/benchmarks

dangpzanco

import pathlib # Handle paths (https://pbpython.com/pathlib-intro.html)
import numpy as np


def run_simulation(n=1000):
    x = np.random.randn(n)
    y = np.random.randn(n,n) @ x
    simulation_results = dict(x=x, y=y)
    return simulation_results

dangpzanco

import pathlib
import tqdm
import imageio

# import PIL.Image
# PIL.Image.MAX_IMAGE_PIXELS = 933120000
# input_path = pathlib.Path('Starry Night.jpg')

input_path = pathlib.Path('Starry Night (small).jpg')
im = imageio.imread(input_path)

dangpzanco

Climate Change: How Can AI Help? climatechange.ai

Friday, June 14th 2019 - Times relative to Pacific Time (PT or GMT-8)

Part 1

https://slideslive.com/38917142/climate-change-how-can-ai-help

• 8:30 - 8:45 - Welcome and Opening Remarks
• 8:45 - 9:20 - John Platt (Google AI): AI for Climate Change: the Context (Keynote talk)
• 9:20 - 9:45 - Jack Kelly (Open Climate Fix): Why it’s hard to mitigate climate change, and how to do better (Invited talk)