MicroPyScript VS TensorFlow.NET

> And currently using anything but C, C++ or Rust isn't feasible

Someone should tell Anaconda that they can't do this, then: https://pyscript.net/

There's https://pyscript.net/ -- or do you mean for scripting the browser's behaviour rather than replacing JS in website code?

Icepool is a Python package. If you know Python, you have a head start in understading Icepool's syntax. Icepool is written in pure Python and has no dependencies other than the Python Standard Library, allowing you to run it in most places you can run Python. You can directly interoperate Icepool with the extensive Python ecosystem, including Numpy, Matplotlib, and Pandas. Recent projects such as Pyodide, JupyterLite, and PyScript allow Icepool to interoperate with JavaScript, allowing you to make your own web applications using Icepool.

But we're not stuck with one or the other. Python-JS interop has improved greatly in recent years with projects like Pyodide, JupyterLite, and PyScript. Often my strategy is to do the probability in Python and use JS for visualization, as you can see in this ability score calculator or this AnyDice-like interface.

same was done for other languages too, like Python https://pyscript.net/

Finally, there's PyScript. The dream of many Python developers, PyScript allows Python to run in the browser using WebAssembly. As someone who never fully mastered JavaScript, I find this particularly appealing.

I assume your goal is to write the least amount of JavaScript. There's actually a way to run Python in your browser. Take a look at pyscript.net. Not everything is supported, however, so you'd have to check whether the dependencies of the tools you have developed can run.

PyScript. I made a small single-page site that translates code into english with it. Really neat learning experience.

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).