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Pythonnet compiled against .NetStandard 2.0 and CPython 3.7 (win64)

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!

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

Python.Included is an automatic deployment mechanism for .NET packages which depend on the embedded Python distribution. This allows libraries depending on Python and/or Python packages to be deployed via Nuget without having to worry about any local Python installations.

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!

Pythonnet compiled against .NetStandard 2.0 and CPython 3.7 (osx)

Pythonnet compiled against .NetStandard 2.0 and CPython 3.7 (linux)

Pythonnet compiled against .NetStandard 2.0 and CPython 3.7 (win64)

Pythonnet compiled against .NetStandard 2.0 and CPython 3.7 (linux)

Torch.NET brings the awesome Python package PyTorch to the .NET world. PyTorch offers Tensor computations and more with efficient GPU or multi-core CPU processing support and is to be considered one of the fundamental libraries for scientific computing, machine learning and AI in Python. Torch.NET... More information

SliceAndDice features ArraySlice<T>, a lightweight wrapper around indexable data structures like T[] for creating arbitrary N-dimimensional views of the data as well as views of (sparse) sub-sections of array slices without copying the underlying data.