MLlib

MLlib

Apache Software Foundation
+

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About

DL4J takes advantage of the latest distributed computing frameworks including Apache Spark and Hadoop to accelerate training. On multi-GPUs, it is equal to Caffe in performance. The libraries are completely open-source, Apache 2.0, and maintained by the developer community and Konduit team. Deeplearning4j is written in Java and is compatible with any JVM language, such as Scala, Clojure, or Kotlin. The underlying computations are written in C, C++, and Cuda. Keras will serve as the Python API. Eclipse Deeplearning4j is the first commercial-grade, open-source, distributed deep-learning library written for Java and Scala. Integrated with Hadoop and Apache Spark, DL4J brings AI to business environments for use on distributed GPUs and CPUs. There are a lot of parameters to adjust when you're training a deep-learning network. We've done our best to explain them, so that Deeplearning4j can serve as a DIY tool for Java, Scala, Clojure, and Kotlin programmers.

About

JavaScript is a scripting language and programming language for the web that enables developers to build dynamic elements on the web. Over 97% of the websites in the world use client-side JavaScript. JavaScript is one of the most important scripting languages on the web. Strings in JavaScript are contained within a pair of either single quotation marks '' or double quotation marks "". Both quotes represent Strings but be sure to choose one and STICK WITH IT. If you start with a single quote, you need to end with a single quote. There are pros and cons to using both IE single quotes tend to make it easier to write HTML within Javascript as you don’t have to escape the line with a double quote. Let’s say you’re trying to use quotation marks inside a string. You’ll need to use opposite quotation marks inside and outside of JavaScript single or double quotes.

About

​Apache Spark's MLlib is a scalable machine learning library that integrates seamlessly with Spark's APIs, supporting Java, Scala, Python, and R. It offers a comprehensive suite of algorithms and utilities, including classification, regression, clustering, collaborative filtering, and tools for constructing machine learning pipelines. MLlib's high-quality algorithms leverage Spark's iterative computation capabilities, delivering performance up to 100 times faster than traditional MapReduce implementations. It is designed to operate across diverse environments, running on Hadoop, Apache Mesos, Kubernetes, standalone clusters, or in the cloud, and accessing various data sources such as HDFS, HBase, and local files. This flexibility makes MLlib a robust solution for scalable and efficient machine learning tasks within the Apache Spark ecosystem. ​

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Researchers, developers and professionals requiring an open-source, distributed, deep learning library for the JVM

Audience

Web developers and anyone looking for a mobile solution for running and developing web content

Audience

Data scientists and engineers wanting a machine learning solution for efficient data processing and analysis within the Apache Spark framework

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Supported
Live Online Not Supported
In Person Supported

Company Information

Deeplearning4j
Founded: 2019
Japan
deeplearning4j.org

Company Information

JavaScript
Founded: 1995
United States
javascript.com

Company Information

Apache Software Foundation
Founded: 1995
United States
spark.apache.org/mllib/

Alternatives

MXNet

MXNet

The Apache Software Foundation

Alternatives

Alternatives

Apache Spark

Apache Spark

Apache Software Foundation
AssemblyScript

AssemblyScript

The AssemblyScript Project
Apache Mahout

Apache Mahout

Apache Software Foundation
Apache Mahout

Apache Mahout

Apache Software Foundation
MLlib

MLlib

Apache Software Foundation
Amazon EMR

Amazon EMR

Amazon
Apache Spark

Apache Spark

Apache Software Foundation

Categories

Deep Learning Supported
Neural Network Supported

Categories

Categories

Machine Learning Supported

Integrations

3PO Not Supported
Bedrock Not Supported
Cloudimage Not Supported
CodeBaby Not Supported
Cosine Not Supported
GPT-5.6 Sol Not Supported
GPT-6.2 Astra Not Supported
Gemini 3.6 Flash Not Supported
GrabzIt Not Supported
IDWise Not Supported
Intelligems Not Supported
Mend.io Not Supported
MetaMonster Not Supported
OpenAI Codex Not Supported
Qwen2.5-Coder Not Supported
Shaders Not Supported
SnippetsLab Not Supported
UltraEdit Not Supported
YOYA.ai Not Supported
omp Not Supported

Integrations

3PO Supported
Bedrock Supported
Cloudimage Supported
CodeBaby Supported
Cosine Supported
GPT-5.6 Sol Supported
GPT-6.2 Astra Supported
Gemini 3.6 Flash Supported
GrabzIt Supported
IDWise Supported
Intelligems Supported
Mend.io Supported
MetaMonster Supported
OpenAI Codex Supported
Qwen2.5-Coder Supported
Shaders Supported
SnippetsLab Supported
UltraEdit Supported
YOYA.ai Supported
omp Supported

Integrations

3PO Not Supported
Bedrock Not Supported
Cloudimage Not Supported
CodeBaby Not Supported
Cosine Not Supported
GPT-5.6 Sol Not Supported
GPT-6.2 Astra Not Supported
Gemini 3.6 Flash Not Supported
GrabzIt Not Supported
IDWise Not Supported
Intelligems Not Supported
Mend.io Not Supported
MetaMonster Not Supported
OpenAI Codex Not Supported
Qwen2.5-Coder Not Supported
Shaders Not Supported
SnippetsLab Not Supported
UltraEdit Not Supported
YOYA.ai Not Supported
omp Not Supported
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