Apache V2

LibreOffice logo

LibreOffice

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LibreOffice is a free and open-source office suite, a project of The Document Foundation. It was forked from OpenOffice.org in 2010, which was an open-sourced version of the earlier StarOffice. LibreOffice uses the international ISO/IEC standard OpenDocument file format (ODF) as its native format to save documents for all of its applications. LibreOffice also supports the file formats of most other major office suites, including Microsoft Office(.doc, .docx, .xls, .xlsx, .

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Apache Hadoop logo

Apache Hadoop

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Apache(TM) Hadoop(R) is a library framework that facilitate using a network of many computers to solve problems involving massive amounts of data and computation providing for distributed storage and processing of big data using the MapReduce programming model. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures.

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Apache Mahout logo

Apache Mahout

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Apache Mahout(TM) is an open source project that is primarily used for creating scalable machine learning algorithms. It implements machine learning techniques such as, collaborative filtering, clustering, recommendation and classification. It also provides Java libraries for common math operations (focused on linear algebra and statistics) and primitive Java collections. A mahout is a word used in South Asian countries to describe one who drives an elephant as its master. The name comes from its close association with Apache Hadoop which uses an elephant as its logo.

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Apache MXNet (Incubating) logo

Apache MXNet (Incubating)

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Apache MXNet is an open source multi-language machine learning (ML) library especially to train and deploy deep neural networks, on a wide array of devices. Once embedded in the host language, it blends declarative symbolic expression with imperative tensor computation. It is built on a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations on the fly. A graph optimization layer on top of that makes symbolic execution fast and memory efficient.

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Apache Spark logo

Apache Spark

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Apache Spark(TM) is an open-source distributed general-purpose cluster computing framework with (mostly) in-memory data processing engine that can do ETL, analytics, machine learning and graph processing on large volumes of data at rest (batch processing) or in motion (streaming processing) with rich concise high-level APIs for the programming languages: Scala, Python, Java, R, and SQL. In contrast to Hadoop’s two-stage disk-based MapReduce computation engine, Spark’s multi-stage (mostly) in-memory computing engine allows for running most computations in memory, and hence most of the time provides better performance for certain applications, e.

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Apache SystemML logo

Apache SystemML

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Apache SystemML is a machine learning system with support for Java 8+, Scala 2.11+, Python 2.7/3.5+, Hadoop 2.6+, and Spark 2.1+. It provides a workplace for machine learning using big data. As It runs on top of Apache Spark, it automatically scales data, line by line, determining whether the code should be run on the driver or an Apache Spark cluster. Future releases may include additional deep learning with GPU capabilities such as importing and running neural network architectures and pre-trained models for training.

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balenaEtcher

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Etcher is a OS image flasher built with web technologies, a utility used for writing image files such as .iso and .img files, as well as zipped folders onto storage media to create live SD cards and USB flash drives. It protects from accidentally writing to hard-drives and ensures every byte of data was written correctly. It can flash directly Raspberry Pi devices that support the usbboot protocol. Etcher was developed using the Electron framework.

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Eclipse Deeplearning4j

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Eclipse Deeplearning4j is a deep learning programming library written for Java and Scala and a computing framework with wide support for deep learning algorithms. There are a lot of knobs to turn when you’re training a distributed deep-learning network. We’ve done our best to explain them, so that Eclipse Deeplearning4j can serve as a DIY tool for Java, Scala and Clojure programmers working on Hadoop and other file systems. - Official website See Apache Hadoop.

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TensorFlow logo

TensorFlow

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TensorFlow is an open source software library for high performance numerical computation. Its flexible architecture allows easy deployment of computation across a variety of platforms (CPUs, GPUs, TPUs), and from desktops to clusters of servers to mobile and edge devices. TensorFlow was originally developed by researchers and engineers from the Google Brain team within Google’s AI organization. It comes with strong support for machine learning and deep learning and the flexible numerical computation core is used across many other scientific domains.

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Yooreeka

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Yooreeka is a library for data mining, machine learning, soft computing, and mathematical analysis. It also provides examples. Google Code I Archive

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Softorage logo

Softorage

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Softorage is a software directory designed as a secure download service and information resource. It contains dedicated pages (often called ‘softpages’) for software which lists an objective set of information about a software that may assist the user to estimate trustworthiness of the software. The objective set of information includes among other things, overview of the software, platform(s) for which it is available, system requirements, its license, etc. A softpage also lists download links that point to official software website, and third-party download links.

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