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Scientific computing, machine learning and computer vision for .NET
The Accord.NET Framework provides machine learning, mathematics, statistics, computer vision, computer audition, and several scientific computing related methods and techniques to .NET. The project is compatible with the .NETFramework. NET Standard, .NET Core, and Mono.
Binary Converter NET is a program created in vb.net to convert numeral systems, such as: convert binary to decimal, hexadecimal to octal or octal to binary and vice versa.
Also the program supports many more conversions and simple program log which shows your calculations.
This program can work without install but the Microsoft .NETFramework is required.
Data Management for Matlab, MathCAD, and SciLab:
- Automatically import/export data to/from Matlab/MathCAD/Scilab
- Easily separate data and analysis
- Batch processing of datasets
- Data filtering
- Easily manage metadata for all your data files
- Built in Data Acquisition (DAQ)
- Implements Microsoft Scientific Dataset so data files are stored in a standard format
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This program is an equation solver 2nd degree. Written entirely with Visual Basic Express 2010. Addresses three types of equations the well, the spurious, and the complete.
A conversion program written in as a Windows Forms Application in Visual Basic to convert roman numerals to regular numbers and back. It can handle up to 3,999,999. It requires the .NETFramework 3.5 and is licensed under the the CC GNU GPL.
NGmp is a C# C++ Java Python VB.NET etc. etc. binding of GMP and MPFR multi-precision number libraries. With support of Microsoft .NET or Novell Mono runtime NGmp will run on mutliple platforms. It is faster than other libraries available on .NET or Mono
MathLib.NET is to be a open source library for the Microsoft .NETFramework and seeks to provide statistical functions, approximations, along routines that will extend the existing mathematical functions available.
A .Net Library that lets you make full use of multi-core and multiprocessor computers. It is very efficient, and easily integrated into existing applications. It is modeled after the Parallel FX usage model, and is faster than the PFX too.