Let's say you want to host domains first.com
and second.com
.
Create folders for their files:
Spring STOMP chat |
Look at LSB init scripts for more information.
Copy to /etc/init.d
:
# replace "$YOUR_SERVICE_NAME" with your service's name (whenever it's not enough obvious)
This is an unofficial, uncomplete and (pretty sure) wrong documentation of the RESTful service which powers the League of Legends spectator mode.
This documentation is desgined to be community driven and should be extended by everyone. If you find things missing, add them please!
Riot's spectator mode works by requesting replay data via HTTP form a service. The data is split in chunks which usually contain about 30 seconds of gameplay. Additionally there are key frames which seem to contain more information then a single chunk. They seem to be used to support
sudo apt-get update | |
sudo apt-get install python-virtualenv | |
sudo apt-get install python-dev | |
sudo apt-get install postgresql | |
sudo apt-get install postgresql-server-dev-9.3 | |
sudo apt-get install redis-server | |
sudo -u postgres createuser -s sentry | |
sudo -u postgres psql -c "alter user sentry with password 'sentry';" |
##VGG16 model for Keras
This is the Keras model of the 16-layer network used by the VGG team in the ILSVRC-2014 competition.
It has been obtained by directly converting the Caffe model provived by the authors.
Details about the network architecture can be found in the following arXiv paper:
Very Deep Convolutional Networks for Large-Scale Image Recognition
K. Simonyan, A. Zisserman
package main | |
import ( | |
"fmt" | |
"os" | |
"os/exec" | |
"syscall" | |
) | |
func main() { |
Latency Comparison Numbers | |
-------------------------- | |
L1 cache reference 0.5 ns | |
Branch mispredict 5 ns | |
L2 cache reference 7 ns 14x L1 cache | |
Mutex lock/unlock 25 ns | |
Main memory reference 100 ns 20x L2 cache, 200x L1 cache | |
Compress 1K bytes with Zippy 3,000 ns 3 us | |
Send 1K bytes over 1 Gbps network 10,000 ns 10 us | |
Read 4K randomly from SSD* 150,000 ns 150 us ~1GB/sec SSD |
""" | |
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy) | |
BSD License | |
""" | |
import numpy as np | |
# data I/O | |
data = open('input.txt', 'r').read() # should be simple plain text file | |
chars = list(set(data)) | |
data_size, vocab_size = len(data), len(chars) |
View installed PPA Repository with a .sh script
#! /bin/sh
# listppa Script to get all the PPA installed on a system ready to share for reininstall
for APT in `find /etc/apt/ -name \*.list`; do
grep -o "^deb http://ppa.launchpad.net/[a-z0-9\-]\+/[a-z0-9\-]\+" $APT | while read ENTRY ; do
USER=`echo $ENTRY | cut -d/ -f4`
PPA=`echo $ENTRY | cut -d/ -f5`
echo sudo apt-add-repository ppa:$USER/$PPA