idoshamun

FROM openjdk:8-jre-alpine

RUN mkdir -p /opt/app
WORKDIR /opt/app

COPY ./run_jar.sh ./app-assembly.jar ./

ENTRYPOINT ["./run_jar.sh"]

entron

'''This scripts implements Kim's paper "Convolutional Neural Networks for Sentence Classification"
with a very small embedding size (20) than the commonly used values (100 - 300) as it gives better
result with much less parameters.

Run on GPU: THEANO_FLAGS=mode=FAST_RUN,device=gpu,floatX=float32 python imdb_cnn.py

Get to 0.853 test accuracy after 5 epochs. 13s/epoch on Nvidia GTX980 GPU.
'''

from __future__ import print_function

mslinn

import scala.xml._

// To convert a Maven pom.xml to build.sbt:
// 1) Place this code into a file called PomToSbt.scala next to pom.xml
// 2) Type scala PomtoSbt.scala > build.sbt
// The dependencies from pom.xml will be extracted and place into a complete build.sbt file
// Because most pom.xml files only refernence non-Scala dependencies, I did not use %%
val lines = (XML.load("pom.xml") \\ "dependencies") \ "dependency" map { dependency => 
  val groupId = (dependency \ "groupId").text
  val artifactId = (dependency \ "artifactId").text

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

peterbe

from time import sleep
import logging
es_logger = logging.getLogger('elasticsearch')
es_logger.setLevel(logging.INFO)
es_logger.addHandler(logging.StreamHandler())
import pyelasticsearch

es = pyelasticsearch.ElasticSearch('http://localhost:9200')

index = 'testmlt'

jkbradley

/*
This example uses Scala.  Please see the MLlib documentation for a Java example.

Try running this code in the Spark shell.  It may produce different topics each time (since LDA includes some randomization), but it should give topics similar to those listed above.

This example is paired with a blog post on LDA in Spark: http://databricks.com/blog
Spark: http://spark.apache.org/
*/

import scala.collection.mutable

bmcfee

gdbassett

#!/usr/bin/env python
# -*- encoding: utf-8 -*-

"""
 AUTHOR: Gabriel Bassett
 DATE: 11-19-2014
 DEPENDENCIES: py2neo
 Copyright 2014 Gabriel Bassett

johnynek

/**
 git clone https://github.com/twitter/scalding.git
 cd scalding
 ./sbt scalding-repl/console
*/

import scala.io.Source
val alice = Source.fromURL("http://www.gutenberg.org/files/11/11.txt").getLines
// Add the line numbers, which we might want later
val aliceLineNum = alice.zipWithIndex.toList

dergachev

OS X Screencast to animated GIF

This gist shows how to create a GIF screencast using only free OS X tools: QuickTime, ffmpeg, and gifsicle.

Instructions

To capture the video (filesize: 19MB), using the free "QuickTime Player" application: