15 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.
C# bindings for NumPy on Win64 - a fundamental library for scientific computing, machine learning and AI. Does require Python 3.7 with NumPy 1.16 installed!
This library provides a 100% pure .NET implementation of the NumPy API.
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...
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C# bindings for NumPy - a fundamental library for scientific computing, machine learning and AI. Does not require a local Python installation!
This package provides the sample apps for the NumpyDotNet library.
This package provides the unit tests for the NumpyDotNet library.
C# bindings for NumPy on OSX - a fundamental library for scientific computing, machine learning and AI. Does require Python 3.7 with NumPy 1.16 installed!
C# bindings for NumPy on Linux - a fundamental library for scientific computing, machine learning and AI. Does require Python 3.7 with NumPy 1.16 installed!
This package provides extensions for System.Drawing.Bitmap for creating NDArray and Bitmap with or without copying.
openai/gym's popular toolkit for developing and comparing reinforcement learning algorithms port to C#. This package contains the base classes to mimic gym's OOP structure.
openai/gym's popular toolkit for developing and comparing reinforcement learning algorithms port to C#. This package contains ported gym's environments.
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 3.7 with NumPy 1.16 installed!
Extreme Optimization Numerical Libraries for .NET IronPython interface library
