Search Results for "c# develop"

TensorFlow.NET (TF.NET) provides a .NET Standard binding for TensorFlow. It aims to implement the complete Tensorflow API in C# which allows .NET developers to develop, train and deploy Machine Learning models with the cross-platform .NET Standard framework. TensorFlow.NET has built-in Keras high-level interface and is released as an independent package TensorFlow.Keras. SciSharp STACK's mission is to bring popular data science technology into the .NET world and to provide .NET developers with a powerful Machine Learning tool set without reinventing the wheel. ...

...It supports most of the relational databases (SQL server, MySQL, postgreSQL ...) and OLAP platforms (Analysis Services, Mondrian ...) but also ETL and reporting components (Microsoft technologies). The main goal of this framework is to let users create tests with a declarative approach based on an Xml syntax. By the means of NBi, you don't need to develop C# code to specify your tests! Either, you don't need Visual Studio to compile your test suite. Just create an Xml file and let the framework interpret it and play your tests. The framework is designed as an add-on of NUnit but with the possibility to port it easily to other testing frameworks.

Application for reporting and data visualization with possibility to store queries (data sets for reports), settings of fields and parameters. Easy to use, universal, dynamic, desktop,Windows, lightweight application. Displaying of the list of reports to choose. It is used to query MS SQL database and presentation of data in the form of a report ( subtotals and grouping), Pivot Chart or Pivot Table. Can also be created a pure extract and after copy/paste can be manipulated in any...

JAETL - Just Another ETL tool is a tiny and fast ETL tool to develop data warehouse. JAETL allows to Extract data from ARFF (Weka), CSV, and SQL, Transform the data with join, replace missing values, remove duplicates, mapping filtering, variable selection, and Load the data into SQL server and export to CSV and ARFF.

The project has been created to develop a software that can help scientists in the area of physical chemistry with focus on foods data analysis tools that are currently mainly done by hand. In the first step, advanced analysis of texture analyzer compression data are provided and the project will be extended over time dependent on the time I can get to continue with it.