chanmix51

*--------------------------------------------------------------------------
* Model generated by Motega software: 
*
*              Modeling Of Tubes Employing Genetic Algorithms
*
* Models contain 1G resistors from all nodes to earth in order to avoid
* floating nodes. Triode and tetrode/pentode models contain a diode for
* simulating grid current.
*
* Non-commercial use is permitted, but at your own risk... This model

lukehedger

$ ffmpeg -i input.mp4 -vcodec h264 -acodec mp2 output.mp4

baraldilorenzo

##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

baraldilorenzo

##VGG19 model for Keras

This is the Keras model of the 19-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

ssomnoremac

...

class UpdatePersonName(graphene.Mutation):

    class Input:
        uuid = graphene.Int(required=True)
        name = graphene.String(required=True)

    person = graphene.Field(Person)

flyyufelix

ResNet-152 in Keras

This is an Keras implementation of ResNet-152 with ImageNet pre-trained weights. I converted the weights from Caffe provided by the authors of the paper. The implementation supports both Theano and TensorFlow backends. Just in case you are curious about how the conversion is done, you can visit my blog post for more details.

ResNet Paper:

Deep Residual Learning for Image Recognition.
Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
arXiv:1512.03385

dentechy

How to automatically start ssh server on boot on Windows Subsystem for Linux

Microsoft partnered with Canonical to create Bash on Ubuntu on Windows, running through a technology called the Windows Subsystem for Linux. Below are instructions on how to set up the ssh server to run automatically at boot.

1. Edit the /etc/ssh/sshd_config file by running the command sudo vi /etc/ssh/sshd_config and do the following
   1. Change Port to 2222 (or any other port above 1000)
   2. Change PasswordAuthentication to yes. This can be changed back to no if ssh keys are setup.
2. Restart the ssh server:
   • sudo service ssh --full-restart
3. With this setup, the ssh server must be turned on every time you run Bash on Ubuntu on Windows, as by default it is off. Use this command to turn it on:

hitvoice

csabatini

from __future__ import print_function
from sqlalchemy import *
from sqlalchemy.orm import create_session
from sqlalchemy.ext.declarative import declarative_base

Base = declarative_base()
engine = \
    create_engine("postgresql://...")
metadata = MetaData(bind=engine)

cablespaghetti

#!/bin/bash

# Get directory of script
DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" && pwd )"

if [[ $# -ne 1 ]]
then
    echo "ERROR: This script expects the namespace name to be given as an argument"
    echo "e.g. ./ecr-cred-updater.sh my-namespace"
    exit 1