{"id":12720,"date":"2019-03-28T14:46:20","date_gmt":"2019-03-28T14:46:20","guid":{"rendered":"http:\/\/www.appservgrid.com\/paw92\/?p=12720"},"modified":"2019-03-28T14:46:20","modified_gmt":"2019-03-28T14:46:20","slug":"10-top-open-source-artificial-intelligence-tools-for-linux","status":"publish","type":"post","link":"https:\/\/www.appservgrid.com\/paw92\/index.php\/2019\/03\/28\/10-top-open-source-artificial-intelligence-tools-for-linux\/","title":{"rendered":"10 Top Open Source Artificial Intelligence Tools for Linux"},"content":{"rendered":"

In this post, we shall cover a few of the top, open-source artificial intelligence (AI<\/strong>) tools for the Linux ecosystem. Currently,\u00a0AI<\/strong>\u00a0is one of the ever advancing fields in science and technology, with a major focus geared towards building software and hardware to solve every day life challenges in areas such as health care, education, security, manufacturing, banking and so much more.<\/p>\n

Suggested Read:<\/b>\u00a020 Free Open Source Softwares I Found in Year 2015<\/a><\/p>\n

Below is a list of a number of platforms designed and developed for supporting AI, that you can utilize on Linux and possibly many other operating systems. Remember this list is not arranged in any specific order of interest.<\/p>\n

1. Deep Learning For Java (Deeplearning4j)<\/h3>\n

Deeplearning4j<\/strong>\u00a0is a commercial grade, open-source, plug and play, distributed deep-learning library for Java and Scala programming languages. It\u2019s designed specifically for business related application, and integrated with\u00a0Hadoop<\/strong>\u00a0and\u00a0Spark<\/strong>\u00a0on top of distributed CPUs and GPUs.<\/p>\n

DL4J is released under the Apache 2.0 license and provides GPU support for scaling on AWS and is adapted for micro-service architecture.<\/p>\n

\n

\"Deeplearning4j<\/a><\/p>\n

Deeplearning4j \u2013 Deep Learning for Java<\/p>\n

 <\/p>\n<\/div>\n

Visit Homepage<\/strong>:\u00a0http:\/\/deeplearning4j.org\/<\/a><\/p>\n

2. Caffe \u2013 Deep Learning Framework<\/h3>\n

Caffe<\/strong>\u00a0is a modular and expressive deep learning framework based on speed. It is released under the BSD 2-Clause license, and it\u2019s already supporting several community projects in areas such as research, startup prototypes, industrial applications in fields such as vision, speech and multimedia.<\/p>\n

\n

\"Caffe<\/a><\/p>\n

Caffe \u2013 Deep Learning Framework<\/p>\n<\/div>\n

Visit Homepage<\/strong>:\u00a0http:\/\/caffe.berkeleyvision.org\/<\/a><\/p>\n

3. H20 \u2013 Distributed Machine Learning Framework<\/h3>\n

H20<\/strong>\u00a0is an open-source, fast, scalable and distributed machine learning framework, plus the assortment of algorithms equipped on the framework. It supports smarter application such as deep learning, gradient boosting, random forests, generalized linear modeling (I.e logistic regression, Elastic Net) and many more.<\/p>\n

It is a businesses oriented artificial intelligence tool for decision making from data, it enables users to draw insights from their data using faster and better predictive modeling.<\/p>\n

\n

\"H2O<\/a><\/p>\n

H2O \u2013 Distributed Machine Learning Framework<\/p>\n<\/div>\n

Visit Homepage<\/strong>:\u00a0http:\/\/www.h2o.ai\/<\/a><\/p>\n

4. MLlib \u2013 Machine Learning Library<\/h3>\n

MLlib<\/strong>\u00a0is an open-source, easy-to-use and high performance machine learning library developed as part of Apache Spark. It is essentially easy to deploy and can run on existing Hadoop clusters and data.<\/p>\n

Suggested Read:<\/b>\u00a012 Best Open Source Text Editors (GUI + CLI) I Found in 2015<\/a><\/p>\n

MLlib also ships in with an collection of algorithms for classification, regression, recommendation, clustering, survival analysis and so much more. Importantly, it can be used in Python, Java, Scala and R programming languages.<\/p>\n

\n

\"MLlib<\/a><\/p>\n

MLlib \u2013 Machine Learning Library<\/p>\n<\/div>\n

Visit Homepage<\/strong>:\u00a0https:\/\/spark.apache.org\/mllib\/<\/a><\/p>\n

5. Apache Mahout<\/h3>\n

Mahout<\/strong>\u00a0is an open-source framework designed for building scalable machine learning applications, it has three prominent features listed below:<\/p>\n

    \n
  1. Provides simple and extensible programming workplace<\/li>\n
  2. Offers a variety of prepackaged algorithms for Scala + Apache Spark, H20 as well as Apache Flink<\/li>\n
  3. Includes Samaras, a vector math experimentation workplace with R-like syntax<\/li>\n<\/ol>\n
    \n

    \"Apache<\/a><\/p>\n

    Apache Mahout<\/p>\n<\/div>\n

    Visit Homepage<\/strong>:\u00a0http:\/\/mahout.apache.org\/<\/a><\/p>\n

    6. Open Neural Networks Library (OpenNN)<\/h3>\n

    OpenNN<\/strong>\u00a0is also an open-source class library written in C++ for deep learning, it is used to instigate neural networks. However, it is only optimal for experienced C++ programmers and persons with tremendous machine learning skills. It\u2019s characterized of a deep architecture and high performance.<\/p>\n

    \n

    \"OpenNN<\/a><\/p>\n

    OpenNN \u2013 Open Neural Networks Library<\/p>\n<\/div>\n

    Visit Homepage<\/strong>:\u00a0http:\/\/www.opennn.net\/<\/a><\/p>\n

    7. Oryx 2<\/h3>\n

    Oryx 2<\/strong>\u00a0is a continuation of the initial Oryx project, it\u2019s developed on Apache Spark and Apache Kafka as a re-architecting of the lambda architecture, although dedicated towards achieving real-time machine learning.<\/p>\n

    It is a platform for application development and ships in with certain applications as well for collaborative filtering, classification, regression and clustering purposes.<\/p>\n

    \n

    \"Oryx2<\/a><\/p>\n

    Oryx2 \u2013 Re-architecting Lambda Architecture<\/p>\n<\/div>\n

    Visit Homepage<\/strong>:\u00a0http:\/\/oryx.io\/<\/a><\/p>\n

    8. OpenCyc<\/h3>\n

    OpenCyc<\/strong>\u00a0is an open-source portal to the largest and most comprehensive general knowledge base and commonsense reasoning engine of the world. It includes a large number of Cyc terms arranged in a precisely designed onology for application in areas such as:<\/p>\n

      \n
    1. Rich domain modeling<\/li>\n
    2. Domain-specific expert systems<\/li>\n
    3. Text understanding<\/li>\n
    4. Semantic data integration as well as AI games plus many more.<\/li>\n<\/ol>\n
      \n

      \"OpenCyc\"<\/a><\/p>\n

      OpenCyc<\/p>\n<\/div>\n

      Visit Homepage<\/strong>:\u00a0http:\/\/www.cyc.com\/platform\/opencyc\/<\/a><\/p>\n

      9. Apache SystemML<\/h3>\n

      SystemML<\/strong>\u00a0is open-source artificial intelligence platform for machine learning ideal for big data. Its main features are \u2013 runs on R and Python-like syntax, focused on big data and designed specifically for high-level math. How it works is well explained on the homepage, including a video demonstration for clear illustration.<\/p>\n

      Suggested Read:<\/b>\u00a018 Best IDEs for C\/C++ Programming or Source Code Editors on Linux<\/a><\/p>\n

      There are several ways to use it including Apache Spark, Apache Hadoop, Jupyter and Apache Zeppelin. Some of its notable use cases include automotives, airport traffic and social banking.<\/p>\n

      \n

      \"Apache<\/a><\/p>\n

      Apache SystemML \u2013 Machine Learning Platform<\/p>\n<\/div>\n

      Visit Homepage<\/strong>:\u00a0http:\/\/systemml.apache.org\/<\/a><\/p>\n

      10. NuPIC<\/h3>\n

      NuPIC<\/strong>\u00a0is an open-source framework for machine learning that is based on Heirarchical Temporary Memory (HTM), a neocortex theory. The HTM program integrated in NuPIC is implemented for analyzing real-time streaming data, where it learns time-based patterns existing in data, predicts the imminent values as well as reveals any irregularities.<\/p>\n

      Its notable features include:<\/p>\n

        \n
      1. Continuous online learning<\/li>\n
      2. Temporal and spatial patterns<\/li>\n
      3. Real-time streaming data<\/li>\n
      4. Prediction and modeling<\/li>\n
      5. Powerful anomaly detection<\/li>\n
      6. Hierarchical temporal memory<\/li>\n<\/ol>\n
        \n

        \"NuPIC<\/a><\/p>\n

        NuPIC Machine Intelligence<\/p>\n<\/div>\n

        Visit Homepage<\/strong>:\u00a0http:\/\/numenta.org\/<\/a><\/p>\n

        With the rise and ever advancing research in\u00a0AI<\/strong>, we are bound to witness more tools spring up to help make this area of technology a success especially for solving daily scientific challenges along with educational purposes.<\/p>\n

        Are you interested in AI, what is your say? Offer us your thoughts, suggestions or any productive feedback about the subject matter via the comment section below and we shall be delighted to know more from your.<\/p>\n

        Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

        In this post, we shall cover a few of the top, open-source artificial intelligence (AI) tools for the Linux ecosystem. Currently,\u00a0AI\u00a0is one of the ever advancing fields in science and technology, with a major focus geared towards building software and hardware to solve every day life challenges in areas such as health care, education, security, … <\/p>\n

        Continue reading “10 Top Open Source Artificial Intelligence Tools for Linux”<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-12720","post","type-post","status-publish","format-standard","hentry","category-linux"],"_links":{"self":[{"href":"https:\/\/www.appservgrid.com\/paw92\/index.php\/wp-json\/wp\/v2\/posts\/12720","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.appservgrid.com\/paw92\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.appservgrid.com\/paw92\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.appservgrid.com\/paw92\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.appservgrid.com\/paw92\/index.php\/wp-json\/wp\/v2\/comments?post=12720"}],"version-history":[{"count":1,"href":"https:\/\/www.appservgrid.com\/paw92\/index.php\/wp-json\/wp\/v2\/posts\/12720\/revisions"}],"predecessor-version":[{"id":12721,"href":"https:\/\/www.appservgrid.com\/paw92\/index.php\/wp-json\/wp\/v2\/posts\/12720\/revisions\/12721"}],"wp:attachment":[{"href":"https:\/\/www.appservgrid.com\/paw92\/index.php\/wp-json\/wp\/v2\/media?parent=12720"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.appservgrid.com\/paw92\/index.php\/wp-json\/wp\/v2\/categories?post=12720"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.appservgrid.com\/paw92\/index.php\/wp-json\/wp\/v2\/tags?post=12720"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}