autoencoder

Implementation of an autoencoder consisting of multiple restricted Boltzmann machines

License

License

Categories

Categories

Auto Application Layer Libs Code Generators
GroupId

GroupId

org.kramerlab
ArtifactId

ArtifactId

autoencoder
Last Version

Last Version

0.1
Release Date

Release Date

Type

Type

jar
Description

Description

autoencoder
Implementation of an autoencoder consisting of multiple restricted Boltzmann machines
Source Code Management

Source Code Management

https://github.com/kramerlab/autoencoder

Download autoencoder

How to add to project

<!-- https://jarcasting.com/artifacts/org.kramerlab/autoencoder/ -->
<dependency>
    <groupId>org.kramerlab</groupId>
    <artifactId>autoencoder</artifactId>
    <version>0.1</version>
</dependency>
// https://jarcasting.com/artifacts/org.kramerlab/autoencoder/
implementation 'org.kramerlab:autoencoder:0.1'
// https://jarcasting.com/artifacts/org.kramerlab/autoencoder/
implementation ("org.kramerlab:autoencoder:0.1")
'org.kramerlab:autoencoder:jar:0.1'
<dependency org="org.kramerlab" name="autoencoder" rev="0.1">
  <artifact name="autoencoder" type="jar" />
</dependency>
@Grapes(
@Grab(group='org.kramerlab', module='autoencoder', version='0.1')
)
libraryDependencies += "org.kramerlab" % "autoencoder" % "0.1"
[org.kramerlab/autoencoder "0.1"]

Dependencies

compile (6)

Group / Artifact Type Version
org.scala-lang : scala-library jar 2.10.2
org.scala-lang : scala-swing jar 2.10.2
org.scalatest : scalatest-maven-plugin jar 1.0-M2
jfree : jfreechart jar 1.0.13
com.googlecode.efficient-java-matrix-library : ejml jar 0.22
nz.ac.waikato.cms.weka : weka-dev jar 3.7.10

test (2)

Group / Artifact Type Version
junit : junit jar 4.11
org.scalatest : scalatest_2.10.0-RC3 jar 2.0.M5-B1

Project Modules

There are no modules declared in this project.

Autoencoder

Autoencoder Implementation in Scala, used in and implemented for

Wicker, Jörg; Tyukin, Andrey; Kramer, Stefan
A Nonlinear Label Compression and Transformation Method for Multi-Label Classification using Autoencoders (Inproceeding)
The 20th Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2016, 2016, (Accepted).

Please cite this paper when using the implementation.

Compile

We use maven as a build tool, so simply use

mvn clean install

to compile the source code.

org.kramerlab

Versions

Version
0.1