James Pirruccello carbocation

## multi-face.ipynb

      
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                carbocation
                / multi-face.ipynb
            
            
              Created
              January 3, 2020 17:13
                — forked from yang-zhang/multi-face.ipynb
            
              
                Multi-task Deep Learning Experiment using fastai Pytorch
              
          
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## Fast.ai install script.py
!pip install pathlib
!pip install fastai
!apt-get -qq install -y libsm6 libxext6 && pip install -q -U opencv-python
import cv2
from os import path
from wheel.pep425tags import get_abbr_impl, get_impl_ver, get_abi_tag
platform = '{}{}-{}'.format(get_abbr_impl(), get_impl_ver(), get_abi_tag())

accelerator = 'cu80' if path.exists('/opt/bin/nvidia-smi') else 'cpu'

## Subtitle.go
package main

import (
    "io"
    "os"
    "fmt"
    "log"
    "bytes"
    "image"
    "image/png"

## loghistplot.R
# Define the function
loghistplot  <- function(data) {

  require(ggplot2); require(gridExtra) # load packages

  names(data) <- c('x','y') # rename columns

  # get min and max axis values
  min_x <- min(data$x)
  max_x <- max(data$x)

## gist:17af347fd38bb302dafc21f77832e4b5
import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data

#import data
mnist = input_data.read_data_sets("data/", one_hot=True)

sess = tf.InteractiveSession()

# Create the model
x = tf.placeholder(tf.float32, [None, 784])

## upgrade-postgres-9.5-to-9.6.md

      
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                carbocation
                / upgrade-postgres-9.5-to-9.6.md
            
            
              Last active
              May 30, 2017 00:36
                — forked from delameko/upgrade-postgres-9.5-to-9.6.md
            
              
                Upgrading PostgreSQL from 9.5 to 9.6 on Ubuntu 16.04
              
          
    TL;DR:
This script upgrades postgres 9.5 to 9.6 on a server that uses a custom data directory.

sudo echo 'deb http://apt.postgresql.org/pub/repos/apt/ xenial-pgdg main' > /etc/apt/sources.list.d/pgdg.list
wget --quiet -O - https://www.postgresql.org/media/keys/ACCC4CF8.asc | \
  sudo apt-key add -
sudo apt-get update
sudo apt-get install postgresql-9.6 postgresql-client-9.6 postgresql-contrib-9.6

  
## tumblr-gist.js
var real_docwrite = document.write,
    body = $('body');

(function insertGists(a_tags) {
    if (a_tags.length > 0) {
        a_tag = a_tags.shift()

        document.write = function(stylesheet) {
            $('head').append(stylesheet);


## Router.swift
import Foundation
import Alamofire

public enum Router:URLRequestConvertible {
	public static let baseUrlString:String = "http://testapi.example.com"
	case Upload(fieldName: String, fileName: String, mimeType: String, fileContents: NSData, boundaryConstant:String);

	var method: Alamofire.Method {
		switch self {
			case Upload:
	!pip install pathlib
	!pip install fastai
	!apt-get -qq install -y libsm6 libxext6 && pip install -q -U opencv-python
	import cv2
	from os import path
	from wheel.pep425tags import get_abbr_impl, get_impl_ver, get_abi_tag
	platform = '{}{}-{}'.format(get_abbr_impl(), get_impl_ver(), get_abi_tag())

	accelerator = 'cu80' if path.exists('/opt/bin/nvidia-smi') else 'cpu'
	package main

	import (
	"io"
	"os"
	"fmt"
	"log"
	"bytes"
	"image"
	"image/png"
	# Define the function
	loghistplot <- function(data) {

	require(ggplot2); require(gridExtra) # load packages

	names(data) <- c('x','y') # rename columns

	# get min and max axis values
	min_x <- min(data$x)
	max_x <- max(data$x)
	import tensorflow as tf
	from tensorflow.examples.tutorials.mnist import input_data

	#import data
	mnist = input_data.read_data_sets("data/", one_hot=True)

	sess = tf.InteractiveSession()

	# Create the model
	x = tf.placeholder(tf.float32, [None, 784])
	var real_docwrite = document.write,
	body = $('body');

	(function insertGists(a_tags) {
	if (a_tags.length > 0) {
	a_tag = a_tags.shift()

	document.write = function(stylesheet) {
	$('head').append(stylesheet);
	import Foundation
	import Alamofire

	public enum Router:URLRequestConvertible {
	public static let baseUrlString:String = "http://testapi.example.com"
	case Upload(fieldName: String, fileName: String, mimeType: String, fileContents: NSData, boundaryConstant:String);

	var method: Alamofire.Method {
	switch self {
	case Upload: