TensorFlow.NET VS NumSharp

But to answer your question. I've run UNet in C#. I trained the data originally using python and used SciSharp to run the model using GPU for a solution more than 5 years ago.

TensorFlow .Net

Yes, exactly. Since you will probably use scikit / tensorflow / pytorch with Python, you can call your model directly in a Django controller. Using other frameworks you will probably have to create a separate microservice with a model exposed via Rest API or use bindings like TensorFlow.NET

Not even close , It is close to python's scikit learn , and it does not have it is own deep learning framework like tensorflow or pytorch , while there are some developers that are trying to implement tensorflow in dotnet , they are doing a good job at providing TensorFlow's low-level C++ API , However c# is not as good as python in manipulating data , there are tons of online materials for python's data science libraries like numpy , pandas , scikit learn , tensorflow , pytorch , quick bug fixes , even some support for unique cases .

But Ive actually been looking at TensorFlow.NET. Its uses .NET binding for TensorFlow machine learning library. Heres the GitHub page: https://github.com/SciSharp/TensorFlow.NET

If you're pointing out that Tensorflow.NET is exciting (https://github.com/SciSharp/TensorFlow.NET), I agree!

Looks like TensorFlow is callable directly from .NET. https://github.com/SciSharp/TensorFlow.NET

Building neural nets from scratch is going to be really hard, for a lot of reasons that you're not even aware of yet. You're better off using preexisting machine learning frameworks. For example here's a library for using tensorflow in c#: https://github.com/SciSharp/TensorFlow.NET

Why don't you try this: https://www.nuget.org/packages/TensorFlow.NET/ (and maybe other nugets).

Check this link https://github.com/SciSharp

Have you tried SciSharpSciSharp for your use cases?

In Python, we need to use Numpy to do a large amount of data processing, complete matrix operations, and multi-dimensional data conversion. NumSharp is an open source .NET Core version of Numpy provided by a third party. (Github https://github.com/SciSharp/NumSharp)

https://github.com/SciSharp/NumSharp/tree/master/src/NumSharp.Core/Backends/Default This is a monster class I wrote, a backend engine of Python's numpy ported to pure C#. Around 300k lines (mostly generated) Visual studio has no issues opening it but Rider and Resharper crash after 10 minutes of use after opening any of the partial files which will work if you turn of Solution-Wide Analysis.