34 packages returned for Tags:"NumPy"

NumSharp is the fundamental library for scientific computing with .NET providing a similar API to python's numpy scientific library. NumSharp has full N-D, broadcasting and axis support. If you want to use .NET to get started with machine learning, NumSharp will be your best tool.

NumSharp.Lite is the compact version of NumSharp without full datatype supported.

.NET bindings for NumPy. Requires the actual Python with NumPy installed.

C# bindings for NumPy - a fundamental library for scientific computing, machine learning and AI. Does not require a local Python installation!

C# bindings for NumPy on Win64 - a fundamental library for scientific computing, machine learning and AI. Does require Python 3.8 with NumPy 1.16 installed!

This library provides a 100% pure .NET implementation of the NumPy API. Multi-threaded, fast and accurate.

C# bindings for NumPy on Linux - a fundamental library for scientific computing, machine learning and AI. Does require Python 3.8 with NumPy 1.16 installed!

C# bindings for NumPy on OSX - a fundamental library for scientific computing, machine learning and AI. Does require Python 3.8 with NumPy 1.16 installed!

This package provides extensions for System.Drawing.Bitmap for creating NDArray and Bitmap with or without copying.

C# scientific package containing among other things : * an N-dimensional array object and the main functions to operate on it * the main linear algebra functions on N-dimensional arrays. The syntax is mainly based on python's numpy library. MKL is used for optimized... More information

This module supports the ILNumerics infrastructure at runtime. It is always required and automatically added by ILNumerics.Core. Free trial licenses are available here: https://ilnumerics.net/download.html.

This package provides the unit tests for the NumpyDotNet library. Multi-threaded, fast and accurate.

This package provides the sample apps for the NumpyDotNet library. Multi-threaded, fast and accurate.

This module supports the ILNumerics infrastructure. Internal use. Start with ILNumerics.Computing or ILNumerics.Drawing!

This module supports the ILNumerics infrastructure. Internal use. Start with ILNumerics.Computing or ILNumerics.Drawing!

Brings full compatibility with numpy NdArray features for ILNumerics Array<T>. This module is part of the ILNumerics Computing Engine, for convenient authoring of fast numerical algorithms on .NET. Free trial licenses are available here: https://ilnumerics.net/download.html.

F# helpers for LostTech.NumPy

Fast, stable and efficient numerical algorithms for .NET (C#, Visual Basic). Supports numpy and Matlab n-dimensional array style. Free trial licenses are available here: https://ilnumerics.net/download.html.

This module supports the ILNumerics infrastructure. Internal use. Start with ILNumerics.Computing or ILNumerics.Drawing!

Managed LAPACK. This package is part of ILNumerics Computing Engine, for convenient authoring of fast numerical algorithms on .NET. It is automatically referenced when adding ILNumerics.Computing to your project. Free trial licenses are available here: https://ilnumerics.net/download.html.