danijar

# Working example for my blog post at:
# https://danijar.github.io/structuring-your-tensorflow-models
import functools
import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data


def doublewrap(function):
    """
    A decorator decorator, allowing to use the decorator to be used without

tonysneed

- Open Automator 
- File -> New -> Service 
- Change "Service Receives" to "files or folders" in "Finder" 
- Add a "Run Shell Script" action 
- Change "Pass input" to "as arguments" 
- Paste the following in the shell script box: open -n -b "com.microsoft.VSCode" --args "$*" 
- Save it as something like "Open in Visual Studio Code"

keuv-grvl

{
	"cmd": ["pandoc --latex-engine=xelatex --filter=pandoc-citeproc -o '$file_base_name.pdf' '$file_name'"],
	"selector": "text.html.markdown",
	"shell": true
}

yrevar

{0: 'tench, Tinca tinca',
 1: 'goldfish, Carassius auratus',
 2: 'great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias',
 3: 'tiger shark, Galeocerdo cuvieri',
 4: 'hammerhead, hammerhead shark',
 5: 'electric ray, crampfish, numbfish, torpedo',
 6: 'stingray',
 7: 'cock',
 8: 'hen',
 9: 'ostrich, Struthio camelus',

huytd

<style>

.axis {
	font-family: sans-serif;
	fill: #d35400;
	font-size: 12px;
}

.line {
	fill: none;

jgravois

Do I have a web server running?

---

having a web server turned on doesn't necessarily mean you are serving pages on the world wide web. its what allows you to load your own static files (.html, .js etc.) in a browser via http://.

if you're not sure whether or not you have a web server running, no problem! its easy to confirm.

what happens when you visit http://localhost/?

hosackm

from flask import Flask, Response

app = Flask(__name__)


@app.route("/wav")
def streamwav():
    def generate():
        with open("signals/song.wav", "rb") as fwav:
            data = fwav.read(1024)

protrolium

ffmpeg

Converting Audio into Different Formats / Sample Rates

Minimal example: transcode from MP3 to WMA:
ffmpeg -i input.mp3 output.wma

You can get the list of supported formats with:
ffmpeg -formats

You can get the list of installed codecs with:

Uberi

#!/usr/bin/env python3
 
import time, random
import math
from collections import deque

start = time.time()

class RealtimePlot:
    def __init__(self, axes, max_entries = 100):

r9y9

#!/bin/bash

# This is a yet another download script for the cmu arctic speech corpus.
# The corpus will be downloaded in $HOME/data/cmu_arctic/

location=$HOME/data/cmu_arctic/

if [ ! -e $location ]
then
    echo "Create " $location