by Ossi Hanhinen, @ohanhi
with the support of Futurice 💚.
Licensed under CC BY 4.0.
#!/usr/bin/python -u | |
import sys, json | |
from pygments import highlight | |
from pygments.lexers import JsonLexer | |
from pygments.formatters import Terminal256Formatter | |
while True: | |
line = sys.stdin.readline() | |
if line.strip(): |
With the release of Node 6.0.0, the surface of code that needs transpilation to use ES6 features has been reduced very dramatically.
This is what my current workflow looks like to set up a minimalistic and fast microservice using micro and async
+ await
.
Convolutional neural networks for emotion classification from facial images as described in the following work:
Gil Levi and Tal Hassner, Emotion Recognition in the Wild via Convolutional Neural Networks and Mapped Binary Patterns, Proc. ACM International Conference on Multimodal Interaction (ICMI), Seattle, Nov. 2015
Project page: http://www.openu.ac.il/home/hassner/projects/cnn_emotions/
If you find our models useful, please add suitable reference to our paper in your work.
// Usage: | |
// Copy and paste all of this into a debug console window of the "Who is Hiring?" comment thread | |
// then use as follows: | |
// | |
// query(term | [term, term, ...], term | [term, term, ...], ...) | |
// | |
// When arguments are in an array then that means an "or" and when they are seperate that means "and" | |
// | |
// Term is of the format: | |
// ((-)text/RegExp) ( '-' means negation ) |
#!/bin/bash | |
# Stop all containers | |
containers=`docker ps -a -q` | |
if [ -n "$containers" ] ; then | |
docker stop $containers | |
fi | |
# Delete all containers | |
containers=`docker ps -a -q` | |
if [ -n "$containers" ]; then | |
docker rm -f -v $containers |
package main | |
import ( | |
"crypto/tls" | |
"golang.org/x/crypto/acme/autocert" | |
"log" | |
"net" | |
"net/http" | |
) |
package main | |
import ( | |
"context" | |
"flag" | |
"fmt" | |
"log" | |
"net/http" | |
"os" | |
"os/signal" |