Xml Typed Serializer Generator - XGenPlus

  •        0

Xml Typed Serializer Generator (XGenPlus) is a flexible Xml Typed Serializer Generator. It is very flexible to use. Last Modified - Nov 07, 2007 - Sivakumar Gopalakrishnan, Anoop Madhusudanan -- - - -> Provides a set of command line options for createing typed serializer l...




comments powered by Disqus

Related Projects

JsonFx.NET - JSON serialization framework for .NET

JsonFx v2.0 - JSON serialization framework for .NET. It has unified interface for reading / writing JSON, BSON, XML, JsonML. It implements LINQ-to-JSON, Supports reading/writing using DataContract, XmlSerialization, JsonName, attributes and lot more.

Apache Mahout - Scalable machine learning library

Apache Mahout has implementations of a wide range of machine learning and data mining algorithms: clustering, classification, collaborative filtering and frequent pattern mining.


WebSearch.Net is an open-source research platform that provides uniform data source access, data modeling, feature calculation, data mining, etc.


Avro is a data serialization system. It is a subproject of Apache Hadoop.

Scikit Learn - Machine Learning in Python

scikit-learn is a Python module for machine learning built on top of SciPy. It is simple and efficient tools for data mining and data analysis. It supports automatic classification, clustering, model selection, pre processing and lot more.

JSON.NET - JSON framework for .NET

Json.NET is a popular high-performance JSON framework for .NET. It is serializes .NET objects to JSON. It converts JSON to LINQ, XML and lot more. It performs faster than .NET buit in serializers.


Expat is an XML parser library written in C. It is a stream-oriented parser in which an application registers handlers for things the parser might find in the XML document (like start tags).


Lazily serializes an object to XML for usage in XPath/XSLT.

Mocha - JavaScript Test Framework

Mocha is a feature-rich JavaScript test framework running on node.js and the browser, making asynchronous testing simple and fun. Mocha tests run serially, allowing for flexible and accurate reporting, while mapping uncaught exceptions to the correct test cases.

Semantic Vectors - Creating and Searching Semantic Vector using Lucene

The Semantic Vectors package uses a Random Projection algorithm, a form of automatic semantic analysis. Other methods supported by the package include Latent Semantic Analysis (LSA) and Reflective Random Indexing. Latent Semantic Analysis (LSA) is a theory and method for extracting and representing the contextual-usage meaning of words by statistical computations applied to a large corpus of text. This library is used in semantic analysis and text mining.