Kyle McDonald kylemcdonald

## netatalk-build.sh
#!/bin/bash

# Enable extended attributes on filesystem
# http://netatalk.sourceforge.net/wiki/index.php/Install_Netatalk_3.1.11_on_Ubuntu_16.04_Xenial#Setting_Up

# Get system to updated state and install required packages
sudo apt update
sudo apt full-upgrade -y
sudo apt install -y clang make libdb-dev libgcrypt20-dev libavahi-client-dev libpam0g-dev

## summary.py
import torch as th
from collections import OrderedDict

def summary(input_size, model):
    def register_hook(module):
        def hook(module, input, output):
            class_name = str(module.__class__).split('.')[-1].split("'")[0]
            module_idx = len(summary)

            m_key = '%s-%i' % (class_name, module_idx+1)

## pytorch_char_rnn.py
# Special thanks to Kyle McDonald, this is based on his example
# https://gist.github.com/kylemcdonald/2d06dc736789f0b329e11d504e8dee9f
# Thanks to Laurent Dinh for examples of parameter saving/loading in PyTorch
# Thanks to Sean Robertson for https://github.com/spro/practical-pytorch

from tqdm import tqdm
from torch.autograd import Variable
import torch.nn as nn
import torch

## traffic-cameras.json
[{
    "lat": "40.79142677512476",
    "lng": "-73.93807411193848",
    "name": "1 Ave @ 110 St",
    "camera": "http://207.251.86.238/cctv261.jpg"
}, {
    "lat": "40.800426144169315",
    "lng": "-73.93155097961426",
    "name": "1 Ave @ 124 St",
    "camera": "http://207.251.86.238/cctv254.jpg"

## PRs_merged_since_0.8.4.md

      
              1 file
            
          
              0 forks
            
          
                0 comments
              
            
              0 stars
            
          
                kylemcdonald
                / PRs_merged_since_0.8.4.md
            
            
              Last active
              November 1, 2015 19:24
                — forked from bilderbuchi/PRs_merged_since_0.8.4.md
            
              
                PRs that have been merged since the 0.8.4 release
              
          
    See openframeworks/openFrameworks#4104 (comment)

  
## ArtNetGPU.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-

# this is a quick implementation of http://arxiv.org/abs/1508.06576
# BUT! This is kind of dirty. Lots of hard coding.

import numpy as np
import math
from chainer import cuda, Function, FunctionSet, gradient_check, Variable, optimizers
import chainer.functions as Fu

## scratchml.xml
<sml>
  <!--

  # SCRATCH MARKUP LANGUAGE, WORKING DRAFT
  http://scratchml.com

  * version -- minor versions for small changes, major for incompatibilities
  * info -- general file metadata: author info, client info etc.
  * turntable - hardware metadata
  * mixer -- hardware metadata

## sketchup_downloader.rb
require 'rubygems'
require 'nokogiri'
require 'open-uri'
require 'httparty'

unless ARGV[0] && ARGV[1]
  puts "Usage: ruby sketchup_downloader.rb path/to/terms.csv path/to/folder"
  exit 1
end

## ArduinoTemperatureFlashlight.ino
#include <i2cmaster.h>
#include "Wire.h"
#include "BlinkM_funcs.h"

const float lowReading = 75;
const float highReading = 110;
const int blinkm_addr = 0;
const unsigned char separatorCharacter = 255;

void setup(){
	#!/bin/bash

	# Enable extended attributes on filesystem
	# http://netatalk.sourceforge.net/wiki/index.php/Install_Netatalk_3.1.11_on_Ubuntu_16.04_Xenial#Setting_Up

	# Get system to updated state and install required packages
	sudo apt update
	sudo apt full-upgrade -y
	sudo apt install -y clang make libdb-dev libgcrypt20-dev libavahi-client-dev libpam0g-dev
	import torch as th
	from collections import OrderedDict

	def summary(input_size, model):
	def register_hook(module):
	def hook(module, input, output):
	class_name = str(module.__class__).split('.')[-1].split("'")[0]
	module_idx = len(summary)

	m_key = '%s-%i' % (class_name, module_idx+1)
	# Special thanks to Kyle McDonald, this is based on his example
	# https://gist.github.com/kylemcdonald/2d06dc736789f0b329e11d504e8dee9f
	# Thanks to Laurent Dinh for examples of parameter saving/loading in PyTorch
	# Thanks to Sean Robertson for https://github.com/spro/practical-pytorch

	from tqdm import tqdm
	from torch.autograd import Variable
	import torch.nn as nn
	import torch
	[{
	"lat": "40.79142677512476",
	"lng": "-73.93807411193848",
	"name": "1 Ave @ 110 St",
	"camera": "http://207.251.86.238/cctv261.jpg"
	}, {
	"lat": "40.800426144169315",
	"lng": "-73.93155097961426",
	"name": "1 Ave @ 124 St",
	"camera": "http://207.251.86.238/cctv254.jpg"
	#!/usr/bin/env python
	# -- coding: utf-8 --

	# this is a quick implementation of http://arxiv.org/abs/1508.06576
	# BUT! This is kind of dirty. Lots of hard coding.

	import numpy as np
	import math
	from chainer import cuda, Function, FunctionSet, gradient_check, Variable, optimizers
	import chainer.functions as Fu
	<sml>
	<!--

	# SCRATCH MARKUP LANGUAGE, WORKING DRAFT
	http://scratchml.com

	* version -- minor versions for small changes, major for incompatibilities
	* info -- general file metadata: author info, client info etc.
	* turntable - hardware metadata
	* mixer -- hardware metadata
	require 'rubygems'
	require 'nokogiri'
	require 'open-uri'
	require 'httparty'

	unless ARGV[0] && ARGV[1]
	puts "Usage: ruby sketchup_downloader.rb path/to/terms.csv path/to/folder"
	exit 1
	end
	#include <i2cmaster.h>
	#include "Wire.h"
	#include "BlinkM_funcs.h"

	const float lowReading = 75;
	const float highReading = 110;
	const int blinkm_addr = 0;
	const unsigned char separatorCharacter = 255;

	void setup(){