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Fluentd : Fluentd is a cross-platform open-source data collection software project originally developed at Treasure Data. It is written primarily in the C programming language with a thin-Ruby wrapper that gives users flexibility. |
Fluentd : Fluentd was positioned for "big data," semi- or un-structured data sets. It analyzes event logs, application logs, and clickstreams. According to Suonsyrjä and Mikkonen, the "core idea of Fluentd is to be the unifying layer between different types of log inputs and outputs.", Fluentd is available on Linux, ma... |
Fluentd : Fluentd was created by Sadayuki Furuhashi as a project of the Mountain View-based firm Treasure Data. Written primarily in Ruby, its source code was released as open-source software in October 2011. The company announced $5 million of funding in 2013. Treasure Data was then sold to Arm Ltd. in 2018. |
Fluentd : Fluentd was one of the data collection tools recommended by Amazon Web Services in 2013, when it was said to be similar to Apache Flume or Scribe. Google Cloud Platform's BigQuery recommends Fluentd as the default real-time data-ingestion tool, and uses Google's customized version of Fluentd, called google-fl... |
Fluentd : Fluent Bit is a log processor and log forwarder that is being developed as a CNCF sub-project under the umbrella of Fluent project. Fluentd is written in C and Ruby and consumes at least 60 megabytes of memory. Fluent Bit is written only in C, with no dependencies, and consumes approximately one megabyte of m... |
Fluentd : Goasguen, Sébastien (2014). 60 Recipes for Apache CloudStack: Using the CloudStack Ecosystem, "Chapter 6: Advanced Recipes". O'Reilly Media. ISBN 1491910127 Wilkins, Phil (2022). Logging in Action, With Fluentd, Kubernetes and more. Manning. ISBN 9781617298356 |
Fluentd : Official website fluentd on GitHub |
Folding@home : Folding@home (FAH or F@h) is a distributed computing project aimed to help scientists develop new therapeutics for a variety of diseases by the means of simulating protein dynamics. This includes the process of protein folding and the movements of proteins, and is reliant on simulations run on volunteers... |
Folding@home : Proteins are an essential component to many biological functions and participate in virtually all processes within biological cells. They often act as enzymes, performing biochemical reactions including cell signaling, molecular transportation, and cellular regulation. As structural elements, some protei... |
Folding@home : Protein misfolding can result in a variety of diseases including Alzheimer's disease, cancer, Creutzfeldt–Jakob disease, cystic fibrosis, Huntington's disease, sickle-cell anemia, and type II diabetes. Cellular infection by viruses such as HIV and influenza also involve folding events on cell membranes. ... |
Folding@home : Like other distributed computing projects, Folding@home is an online citizen science project. In these projects non-specialists contribute computer processing power or help to analyze data produced by professional scientists. Participants receive little or no obvious reward. Research has been carried out... |
Folding@home : Folding@home software at the user's end involves three primary components: work units, cores, and a client. |
Folding@home : Rosetta@home is a distributed computing project aimed at protein structure prediction and is one of the most accurate tertiary structure predictors. The conformational states from Rosetta's software can be used to initialize a Markov state model as starting points for Folding@home simulations. Conversely... |
Folding@home : Folding@home (n.d.e), "About", Folding@home, retrieved April 26, 2020 Mims, Christopher (November 8, 2010), "Why China's New Supercomputer Is Only Technically the World's Fastest", Technology Review, MIT, archived from the original on October 21, 2012, retrieved September 20, 2012 News 12 Staff (May 13, ... |
Folding@home : Official website |
Apache Giraph : Apache Giraph is an Apache project to perform graph processing on big data. Giraph utilizes Apache Hadoop's MapReduce implementation to process graphs. Facebook used Giraph with some performance improvements to analyze one trillion edges using 200 machines in 4 minutes. Giraph is based on a paper publis... |
Apache Giraph : Official website |
GNU Octave : GNU Octave is a scientific programming language for scientific computing and numerical computation. Octave helps in solving linear and nonlinear problems numerically, and for performing other numerical experiments using a language that is mostly compatible with MATLAB. It may also be used as a batch-orient... |
GNU Octave : The project was conceived around 1988. At first it was intended to be a companion to a chemical reactor design course. Full development was started by John W. Eaton in 1992. The first alpha release dates back to 4 January 1993 and on 17 February 1994 version 1.0 was released. Version 9.2.0 was released on ... |
GNU Octave : In addition to use on desktops for personal scientific computing, Octave is used in academia and industry. For example, Octave was used on a massive parallel computer at Pittsburgh Supercomputing Center to find vulnerabilities related to guessing social security numbers. Acceleration with OpenCL or CUDA is... |
GNU Octave : Octave is written in C++ using the C++ standard library. Octave uses an interpreter to execute the Octave scripting language. Octave is extensible using dynamically loadable modules. Octave interpreter has an OpenGL-based graphics engine to create plots, graphs and charts and to save or print them. Alterna... |
GNU Octave : The Octave language is an interpreted programming language. It is a structured programming language (similar to C) and supports many common C standard library functions, and also certain UNIX system calls and functions. However, it does not support passing arguments by reference although function arguments... |
GNU Octave : Octave has been built with MATLAB compatibility in mind, and shares many features with MATLAB: Matrices as fundamental data type. Built-in support for complex numbers. Powerful built-in math functions and extensive function libraries. Extensibility in the form of user-defined functions. Octave treats incom... |
GNU Octave : Octave comes with an official graphical user interface (GUI) and an integrated development environment (IDE) based on Qt. It has been available since Octave 3.8, and has become the default interface (over the command-line interface) with the release of Octave 4.0. It was well-received by an EDN contributor... |
GNU Octave : With Octave code, the user can create GUI applications. See GUI Development (GNU Octave (version 7.1.0)). Below are some examples: Button, edit control, checkboxTextboxListbox with message boxes.Radiobuttons |
GNU Octave : Octave also has many packages available. Those packages are located at Octave-Forge Octave Forge - Packages, or Github Octave Packages. It is also possible for anyone to create and maintain packages. |
GNU Octave : Alternatives to GNU Octave under an open source license, other than the aforementioned MATLAB, include Scilab and FreeMat. Octave is more compatible with MATLAB than Scilab is, and FreeMat has not been updated since June 2013. Also the Julia programming language and its plotting capabilities has similariti... |
GNU Octave : List of numerical-analysis software Comparison of numerical-analysis software List of statistical packages List of numerical libraries |
GNU Octave : Hansen, Jesper Schmidt (June 2011). GNU Octave. Beginner's Guide. Packt Publishing. ISBN 978-1-849-51332-6. |
GNU Octave : Official website |
GraphLab : Turi is a graph-based, high performance, distributed computation framework written in C++. The GraphLab project was started by Prof. Carlos Guestrin of Carnegie Mellon University in 2009. It is an open source project that uses the Apache License. While GraphLab was originally developed for machine learning t... |
GraphLab : As the amounts of collected data and computing power grow (multicore, GPUs, clusters, clouds), modern datasets no longer fit into one computing node. Efficient distributed parallel algorithms for handling large-scale data are required. The GraphLab framework is a parallel programming abstraction targeted for... |
GraphLab : On top of GraphLab, several implemented libraries of algorithms: Topic modeling - contains applications like LDA, which can be used to cluster documents and extract topical representations. Graph analytics - contains applications like pagerank and triangle counting, which can be applied to general graphs to ... |
GraphLab : Turi (formerly called Dato and before that GraphLab Inc.) is a company that was founded by Prof. Carlos Guestrin from University of Washington in May 2013 to continue development support of the GraphLab open source project. Dato Inc. raised a $6.75M Series A from Madrona Venture Group and New Enterprise Asso... |
GraphLab : Turi homepage. SFrame: Extending GraphLab to tables |
Gremlin (query language) : Gremlin is a graph traversal language and virtual machine developed by Apache TinkerPop of the Apache Software Foundation. Gremlin works for both OLTP-based graph databases as well as OLAP-based graph processors. Gremlin's automata and functional language foundation enable Gremlin to naturall... |
Gremlin (query language) : 2009-10-30 the project is born, and immediately named "TinkerPop" 2009-12-25 v0.1 is the first release 2011-05-21 v1.0 is released 2012-05-24 v2.0 is released 2015-01-16 TinkerPop becomes an Apache Incubator project 2015-07-09 v3.0.0-incubating is released 2016-05-23 Apache TinkerPop becomes ... |
Gremlin (query language) : Gremlin is an Apache2-licensed graph traversal language that can be used by graph system vendors. There are typically two types of graph system vendors: OLTP graph databases and OLAP graph processors. The table below outlines those graph vendors that support Gremlin. |
Gremlin (query language) : The following examples of Gremlin queries and responses in a Gremlin-Groovy environment are relative to a graph representation of the MovieLens dataset. The dataset includes users who rate movies. Users each have one occupation, and each movie has one or more categories associated with it. Th... |
Gremlin (query language) : Gremlin is a virtual machine composed of an instruction set as well as an execution engine. An analogy is drawn between Gremlin and Java. |
Gremlin (query language) : Cypher Query Language, another query language on graph data SPARQL, another query language on graph data Regular path query, a theoretical query language on graph data Graph query language, a proposed standardization of a query language on graph data |
Gremlin (query language) : Apache TinkerPop Homepage sql2gremlin.com (TinkerPop2) Rodriguez, M.A., "The Gremlin Graph Traversal Machine and Language," Proceedings of the ACM Database Programming Languages Conference, October, 2015. |
Ilastik : ilastik is a user-friendly free open source software for image classification and segmentation. No previous experience in image processing is required to run the software. Since 2018 ilastik is further developed and maintained by Anna Kreshuk's group at European Molecular Biology Laboratory. |
Ilastik : ilastik allows user to annotate an arbitrary number of classes in images with a mouse interface. Using these user annotations and the generic (nonlinear) image features, the user can train a random forest classifier. Trained ilastik classifiers can be applied new data not included in the training set in ilast... |
Ilastik : ilastik was first released in 2011 by scientists at the Heidelberg Collaboratory for Image Processing (HCI), University of Heidelberg. |
Ilastik : The Interactive Learning and Segmentation Toolkit Carving Cell classification and neuron classification Synapse detection Cell tracking Neural Network Classification |
Ilastik : ilastik project is hosted on GitHub. It is a collaborative project, any contributions such as comments, bug reports, bug fixes or code contributions are welcome. The ilastik team can be contacted for user support on the image.sc forum. |
Ilastik : Official website ilastik on GitHub ImageJ plugin on github ilastik on forum.image.sc |
Information Harvesting : Information Harvesting (IH) was an early data mining product from the 1990s. It was invented by Ralphe Wiggins and produced by the Ryan Corp, later Information Harvesting Inc., of Cambridge, Massachusetts. Wiggins had a background in genetic algorithms and fuzzy logic. IH sought to infer rules ... |
Jubatus : Jubatus is an open-source online machine learning and distributed computing framework developed at Nippon Telegraph and Telephone and Preferred Infrastructure. Its features include classification, recommendation, regression, anomaly detection and graph mining. It supports many client languages, including C++,... |
Jubatus : Jubatus supports: Multi-classification algorithms: Perceptron Passive Aggressive Confidence Weighted Adaptive Regularization of Weight Vectors Normal Herd Recommendation algorithms using: Inverted index Minhash Locality-sensitive hashing Regression algorithms: Passive Aggressive feature extraction method for ... |
Julia (programming language) : Julia is a high-level, general-purpose dynamic programming language, designed to be fast and productive, for e.g. data science, artificial intelligence, machine learning, modeling and simulation, most commonly used for numerical analysis and computational science. Distinctive aspects of J... |
Julia (programming language) : Work on Julia began in 2009, when Jeff Bezanson, Stefan Karpinski, Viral B. Shah, and Alan Edelman set out to create a free language that was both high-level and fast. On 14 February 2012, the team launched a website with a blog post explaining the language's mission. In an interview with... |
Julia (programming language) : Julia is a general-purpose programming language, while also originally designed for numerical/technical computing. It is also useful for low-level systems programming, as a specification language, high-level synthesis (HLS) tool (for hardware, e.g. FPGAs), and for web programming at both ... |
Julia (programming language) : The Julia official distribution includes an interactive command-line read–eval–print loop (REPL), with a searchable history, tab completion, and dedicated help and shell modes, which can be used to experiment and test code quickly. The following fragment represents a sample session exampl... |
Julia (programming language) : Julia has a built-in package manager and includes a default registry system. Packages are most often distributed as source code hosted on GitHub, though alternatives can also be used just as well. Packages can also be installed as binaries, using artifacts. Julia's package manager is used... |
Julia (programming language) : Julia's core is implemented in Julia and C, together with C++ for the LLVM dependency. The code parsing, code-lowering, and bootstrapping were implemented in FemtoLisp, a Scheme dialect, up to version 1.10. Since that version the new pure-Julia stdlib package JuliaSyntax.jl is used for th... |
Julia (programming language) : Julia has been adopted at many universities including MIT, Stanford, UC Berkeley, Ferdowsi University of Mashhad and the University of Cape Town. Large private firms across many sectors have adopted the language including Amazon, IBM, JP Morgan AI Research, and ASML. Julia has also been u... |
Julia (programming language) : Comparison of numerical-analysis software Comparison of statistical packages Differentiable programming JuMP – an algebraic modeling language for mathematical optimization embedded in Julia Python Nim Ring Mojo |
Julia (programming language) : Nagar, Sandeep (2017). Beginning Julia Programming: For Engineers and Scientists. Springer. ISBN 978-1-4842-3171-5. Bezanson, J; Edelman, A; Karpinski, S; Shah, V. B (2017). "Julia: A fresh approach to numerical computing". SIAM Review. 59 (1): 65–98. arXiv:1411.1607. CiteSeerX 10.1.1.760... |
Julia (programming language) : Official website Julia on GitHub |
KNIME : KNIME ( ), the Konstanz Information Miner, is a free and open-source data analytics, reporting and integration platform. KNIME integrates various components for machine learning and data mining through its modular data pipelining "Building Blocks of Analytics" concept. A graphical user interface and use of JDBC... |
KNIME : Development of KNIME began in January 2004, with a team of software engineers at the University of Konstanz, as an open-source platform. The original team, headed by Michael Berthold, came from a Silicon Valley pharmaceutical industry software company. The initial goal was to create a modular, highly scalable a... |
KNIME : These are the design principles and features that KNIME software follows: Visual, Interactive Framework: KNIME Software prioritizes a user-friendly and intuitive approach to data analysis. This is achieved through a visual and interactive framework where data flows can be combined using a drag-and-drop interfac... |
KNIME : KNIME allows users to visually create data flows (or pipelines), selectively execute some or all analysis steps, and later inspect the results, models, using interactive widgets and views. KNIME is written in Java and based on Eclipse. It makes use of an extension mechanism to add plugins providing additional f... |
KNIME : In 2024, KNIME version 5.3 is released under the same GPLv3 license as previous versions. As of version 2.1, KNIME is released under the GPLv3 license, with an exception that allows others to use the well-defined node API to add proprietary extensions. This allows commercial software vendors to add wrappers cal... |
KNIME : KNIME allows the performance of data analysis without programming skills. Several free, online courses are provided. |
KNIME : Weka – machine-learning algorithms that can be integrated in KNIME ELKI – data mining framework with many clustering algorithms Keras - neural network library Orange - an open-source data visualization, machine learning and data mining toolkit with a similar visual programming front-end List of free and open-so... |
KNIME : KNIME Homepage KNIME Hub - Official community platform to search and find nodes, components, workflows and collaborate on new solutions Nodepit - KNIME node collection supporting versioning and node installation |
Kubeflow : Kubeflow is an open-source platform for machine learning and MLOps on Kubernetes introduced by Google. The different stages in a typical machine learning lifecycle are represented with different software components in Kubeflow, including model development (Kubeflow Notebooks), model training (Kubeflow Pipeli... |
Kubeflow : The Kubeflow project was first announced at KubeCon + CloudNativeCon North America 2017 by Google engineers David Aronchick, Jeremy Lewi, and Vishnu Kannan to address a perceived lack of flexible options for building production-ready machine learning systems. The project has also stated it began as a way for... |
Kubeflow : Official website Kubeflow on GitHub |
KXEN Inc. : KXEN was an American software company which existed from 1998 to 2013 when it was acquired by SAP AG. |
KXEN Inc. : KXEN was founded in June 1998 by Roger Haddad and Michel Bera. It was based in San Francisco, California with offices in Paris and London. On September 10, 2013, SAP AG announced plans to acquire KXEN. On October 1, 2013, a letter to KXEN customers announced the acquisition closed. KXEN primarily marketed p... |
KXEN Inc. : InfiniteInsight is a predictive modeling suite developed by KXEN that assists analytic professionals, and business executives to extract information from data. Among other functions, InfiniteInsight is used for variable importance, classification, regression, segmentation, time series, product recommendatio... |
KXEN Inc. : Data mining Supervised learning |
KXEN Inc. : Official website |
L-1 Identity Solutions : L-1 Identity Solutions, Inc. is a large American defense contractor in Connecticut. |
L-1 Identity Solutions : L-1 Identity Solutions was formed on August 29, 2006, from a merger of Viisage Technology, Inc. and Identix Incorporated. It specializes in selling face recognition systems, electronic passports, such as Fly Clear, and other biometric technology to governments such as the United States and Saud... |
L-1 Identity Solutions : Idemia official website |
Lattice Miner : Lattice Miner is a formal concept analysis software tool for the construction, visualization and manipulation of concept lattices. It allows the generation of formal concepts and association rules as well as the transformation of formal contexts via apposition, subposition, reduction and object/attribut... |
Lattice Miner : Formal concept analysis (FCA) is a branch of applied mathematics based on the formalization of concept and concept hierarchy and mainly used as a framework for conceptual clustering and rule mining. Over the last two decades, a collection of tools have emerged to help FCA users visualize and analyze con... |
Lattice Miner : Lattice Miner is a Java-based platform whose functions are articulated around a core. The Lattice Miner core provides all low-level operations and structures for the representation and manipulation of contexts, lattices and association rules. Mainly, the core of Lattice Miner consists of three modules: ... |
Lattice Miner : http://www.upriss.org.uk/fca/fca.html http://w3.uqo.ca/icfca10/ http://sourceforge.net/projects/lattice-miner/ |
LIBSVM : LIBSVM and LIBLINEAR are two popular open source machine learning libraries, both developed at the National Taiwan University and both written in C++ though with a C API. LIBSVM implements the sequential minimal optimization (SMO) algorithm for kernelized support vector machines (SVMs), supporting classificati... |
LIBSVM : LIBSVM homepage LIBLINEAR homepage LIBLINEAR in R |
Linguamatics : Linguamatics, headquartered in Cambridge, England, with offices in the United States and UK, is a provider of text mining systems through software licensing and services, primarily for pharmaceutical and healthcare applications. Founded in 2001, the company was purchased by IQVIA in January 2019. |
Linguamatics : The company develops enterprise search tools for the life sciences sector. The core natural language processing engine (I2E) uses a federated architecture to incorporate data from 3rd party resources. Initially developed to be used interactively through a graphic user interface, the core software also ha... |
Linguamatics : The core software, "I2E", is used by a number of companies to either extend their own software or to publish their data. Copyright Clearance Center uses I2E to produce searchable indexes of material that would otherwise be unsearchable due to copyright. Thomson Reuters produces Cortellis Informatics Clin... |
Linguamatics : List of academic databases and search engines == References == |
Apache Mahout : Apache Mahout is a project of the Apache Software Foundation to produce free implementations of distributed or otherwise scalable machine learning algorithms focused primarily on linear algebra. In the past, many of the implementations use the Apache Hadoop platform, however today it is primarily focuse... |
Apache Mahout : Official website |
Mallet (software project) : MALLET is a Java "Machine Learning for Language Toolkit". |
Mallet (software project) : MALLET is an integrated collection of Java code useful for statistical natural language processing, document classification, cluster analysis, information extraction, topic modeling and other machine learning applications to text. |
Mallet (software project) : MALLET was developed primarily by Andrew McCallum, of the University of Massachusetts Amherst, with assistance from graduate students and faculty from both UMASS and the University of Pennsylvania. |
Mallet (software project) : Official website of the project at the University of Massachusetts Amherst The Topic Modeling Tool is an independently developed GUI that outputs MALLET results in CSV and HTML files |
Maple (software) : Maple is a symbolic and numeric computing environment as well as a multi-paradigm programming language. It covers several areas of technical computing, such as symbolic mathematics, numerical analysis, data processing, visualization, and others. A toolbox, MapleSim, adds functionality for multidomain... |
Maple (software) : The first concept of Maple arose from a meeting in late 1980 at the University of Waterloo. Researchers at the university wished to purchase a computer powerful enough to run the Lisp-based computer algebra system Macsyma. Instead, they opted to develop their own computer algebra system, named Maple,... |
Maple (software) : Features of Maple include: Support for symbolic and numeric computation with arbitrary precision Elementary and special mathematical function libraries Complex numbers and interval arithmetic Arithmetic, greatest common divisors and factorization for multivariate polynomials over the rationals, finit... |
Maple (software) : The following code, which computes the factorial of a nonnegative integer, is an example of an imperative programming construct within Maple: Simple functions can also be defined using the "maps to" arrow notation: |
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