Search Results for "java machine learning library"
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Showing 11 open source projects for "java machine learning library"
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Elasticsearch
A Distributed RESTful Search Engine
Elasticsearch is a distributed, RESTful search and analytics engine that lets you store, search and analyze with ease at scale. It lets you perform and combine many types of searches; it scales seamlessly, and offers answers incredibly fast with search results you can rank based on a variety of factors. Elasticsearch can be used for a wide variety of use cases, from maps and metrics to site search and workplace search, and with all data types. -
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The Lemur Project
Search engine and data mining applications and ClueWeb datasets.
The Lemur Project develops search engines, browser toolbars, text analysis tools, and data resources that support research and development of information retrieval and text mining software, including the Indri search engine in C++, the Galago search engine research framework in Java, the RankLib learning to rank library, ClueWeb09 and ClueWeb12 datasets and the Sifaka data mining application. -
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Digital Learning Sciences (DLS) is a mission-centered, not-for-profit organization dedicated to improving learning through the use of digital content and tools.
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TestEl is a Java-based learning analyzer for HTML (and possibly other) structured documents. It can be trained to detect structures in such documents and renders hits in XML.
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Keep company data safe with Chrome EnterpriseMake AI work your way with Chrome Enterprise. Block unapproved sites and set custom data controls that align with your company's policies.
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Common Library is a learning content and document management system that enables dynamic outcome-based learning object alignment through semantic analysis & granular addressability. For implementation questions contact http://www.bluefletch.com.
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iVia is an Internet subject portal or virtual library system. As a hybrid expert and machine built collection creation and management system, resources can be crawled and metadata and selected full-text can be automatically generated/extracted.
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DLESE (Digital Library for Earth System Education) is a community-supported digital library dedicated to the collection, enhancement, and distribution of materials that facilitate learning about the Earth. Sponsored by the US National Science Foundation.
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vbullmin is a data miner bot for vBulletin boards. vbullmin can get all Forums, Topics, Post and Users from a vBulletin. It can be export this values with phpbb2 database schema. It's a sample for Machine Learning. It's using patterns for getting data.
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HORUS is a system for knowledge acquisition, hypothesis generation, inference and learning. It is an interactive, internet environment accessible to a diverse community of users (public-access or membership basis) - see also UMKAILASH project for more.
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Dun and Bradstreet Risk Analytics - Supplier IntelligenceRisk, procurement, and compliance teams across the globe are under pressure to deal with geopolitical and business risks. Third-party risk exposure is impacted by rapidly scaling complexity in domestic and cross-border businesses, along with complicated and diverse regulations. It is extremely important for companies to proactively manage their third-party relationships. An AI-powered solution to mitigate and monitor counterparty risks on a continuous basis, this cutting-edge platform is powered by D&B’s Data Cloud with 520M+ Global Business Records and 2B+ yearly updates for third-party risk insights. With high-risk procurement alerts and multibillion match points, D&B Risk Analytics leverages best-in-class risk data to help drive informed decisions. Perform quick and comprehensive screening, using intelligent workflows. Receive ongoing alerts of key business indicators and disruptions.
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Scidoc N6 is a platform for collaborative research and learning based on Semantic Web standards like RDF and OWL. It supports dynamically evolving conecpt models as a foundation for various kinds of information systems.
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The Medlane project is an attempt to create a set of tools that will enable librarians to move from the standard MARC (MAchine Readable Cataloging) format to a new library/museum XML format. This move will ensure traditional library/museum data remains
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