com.simiacryptus:mindseye-core

Core Neural Networks Framework

License	The Apache License, Version 2.0
GroupId	com.simiacryptus
ArtifactId	mindseye-core
Last Version	2.1.0
Release Date	Jan 13, 2021
Type	jar
Description	Core Neural Networks Framework
Project Organization	SimiaCryptus Software

Download mindseye-core

Filename	Size
mindseye-core-2.1.0.pom
mindseye-core-2.1.0.jar	259 KB
mindseye-core-2.1.0-sources.jar	130 KB
mindseye-core-2.1.0-javadoc.jar	581 KB

How to add to project

Apache Maven

<!-- https://jarcasting.com/artifacts/com.simiacryptus/mindseye-core/ -->
<dependency>
    <groupId>com.simiacryptus</groupId>
    <artifactId>mindseye-core</artifactId>
    <version>2.1.0</version>
</dependency>

Gradle Groovy

// https://jarcasting.com/artifacts/com.simiacryptus/mindseye-core/
implementation 'com.simiacryptus:mindseye-core:2.1.0'

Gradle Kotlin

// https://jarcasting.com/artifacts/com.simiacryptus/mindseye-core/
implementation ("com.simiacryptus:mindseye-core:2.1.0")

Apache Buildr

'com.simiacryptus:mindseye-core:jar:2.1.0'

Apache Ivy

<dependency org="com.simiacryptus" name="mindseye-core" rev="2.1.0">
  <artifact name="mindseye-core" type="jar" />
</dependency>

Groovy Grape

@Grapes(
@Grab(group='com.simiacryptus', module='mindseye-core', version='2.1.0')
)

Scala SBT

libraryDependencies += "com.simiacryptus" % "mindseye-core" % "2.1.0"

Leiningen

[com.simiacryptus/mindseye-core "2.1.0"]

Dependencies

compile (8)

Group / Artifact	Type	Version
org.junit.jupiter : junit-jupiter Optional	jar
ch.qos.logback : logback-classic	jar
org.slf4j : slf4j-api	jar
com.google.code.gson : gson	jar
com.google.code.findbugs : jsr305	jar
org.jetbrains : annotations	jar
com.simiacryptus : java-util	jar
com.simiacryptus : refcount-core	jar

Project Modules

There are no modules declared in this project.

MindsEye - Java 8 Neural Networks

Welcome! This is MindsEye, a neural network library written in Java 8. Low-level computation is provided by CuDNN and other native libraries.

Links

Developer Guide - docs.google.com - Detailed Technical Documentation

Art Gallery - photos.google - Curated artwork generated by MindsEye

Component Documentation - simiacryptus.github.io/NetworkZoo/ - Test-generated documentation reports detailing each neural network component type.

JavaDocs - simiacryptus.github.io/MindsEye/apidocs/ - API documentation for the current release

Project Site - simiacryptus.github.io/MindsEye/ - The current maven-published site

Maven - mvnrepository.com/artifact/com.simiacryptus/mindseye - Dependency import information

Blog Articles - http://simiacryptus.com - Related articles from the author

Features

• Java - Use Java 8+, Scala, or any other JVM language.

• Support for multiple GPUs and high performance math using native libraries including CuDNN, CUDA, and OpenCL.

• A highly modular optimization engine - It can be configured for many popular algorithms, or customized for optimization research.

• A large and extensible component library with a focus on automated testing and documentation.

• Utilize server clusters with Apache Spark for data-parallel training.

• Built-in JSON serialization for all networks.

• Output Markdown or HTML Notebook-style reports for documentation and research.

• Directly regress input datasets - learning is not limited to network weights.

Simia Cryptus

Big Data Science and Artificial Intelligence

Versions

Version
2.1.0 Jan 13, 2021
2.0.0 Apr 13, 2020
1.8.0 Sep 2, 2019
1.7.2 Jun 24, 2019
1.7.1 May 26, 2019
1.7.0 Apr 15, 2019
1.6.0 Feb 11, 2019
1.5.1 Jan 21, 2019