Search Results for "basic languages"
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Showing 3 open source projects for "basic languages"
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Automate contact and company data extractionGenerate leads at scale without building or maintaining scrapers. Use 10,000+ ready-made tools that handle authentication, pagination, and anti-bot protection. Pull data from business directories, social profiles, and public sources, then export to your CRM or database via API. Schedule recurring extractions, enrich existing datasets, and integrate with your workflows.
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dotNet4Java - .Net for Java
The best Java library to work with .Net libraries and frameworks.
The dotNet4Java is a .Net Runtime Library for Java which helps Java developers work with .Net framework and 3rd party libraries in Java with ease. It is designed to provide a way to interact with applications written in anyone of the .Net languages (such as C#, Visual Basic.Net, Delphi.Net, JScript.Net etc) from Java. Competitive Advantages: - dotNet4Java JAR can be easily added to artefacts repository like maven or ivy. - dotNet4Java is single jar file that can be very easily added to... -
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.Net Native Interface Library
The best library to work with .Net Assemblies in any programming lang.
The .Net Native Interface Library (DotNetNativeInterface) is a native programming interface which provides a way for programming languages such as C, C++, Fortran, Assembly, Pascal, Java, VB etc to interact with applications and libraries written in any of the .Net languages (such as C#, VB.Net etc). Programmers can use DotNetNativeInterface native methods to access .Net 3rd party libraries or .Net Framework Libraries without the need for registry entries, COM registrations or changes to the... -
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MITIE
MITIE: library and tools for information extraction
This project provides free (even for commercial use) state-of-the-art information extraction tools. The current release includes tools for performing named entity extraction and binary relation detection as well as tools for training custom extractors and relation detectors. MITIE is built on top of dlib, a high-performance machine-learning library[1], MITIE makes use of several state-of-the-art techniques including the use of distributional word embeddings[2] and Structural Support Vector...
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