interactive VS TensorFlow.NET

All of this will be accomplished inside of a single Polyglot Notebook. If you're not familiar with Polyglot Notebooks, they're a technology built on top of Jupyter Notebooks that allow you to use additional language kernels, including a F# Kernel. This lets you run interactive data science experiments in a single notebook as shown here in VS Code:

I use .NET on Linux and the experience with Rider has been great. The workflow transfers really well between Mac, Windows, and Linux, and everything works the way you expect. The only problems I run into are that there are still things that are Windows focused. For example MAUI does not run on Linux which is a shame because we could use another cross platform GUI.

There are still bugs, for example I ran into one with Polyglot Notebooks not working on Manjaro or Pop!_OS https://github.com/dotnet/interactive/issues/3159

First of all, if you have a small amount of code that lives in an individual C# file and you wanted to reference it in your notebook, you can do this via the #!import magic command as shown below:

My 2 cents: use a Personal Access Token instead of a password, it is much safer (even though not 100% safe). Some references: https://github.com/dotnet/interactive/discussions/1340 https://learn.microsoft.com/en-us/azure/devops/organizations/accounts/use-personal-access-tokens-to-authenticate

See also https://github.com/dotnet/interactive

U have Powershell notebooks https://github.com/dotnet/interactive

Or Rider or simply install dotnet by itself (very easy) and code in a notepad or VSCode. .NET interactive is another awesome way to start: https://github.com/dotnet/interactive/blob/main/docs/display-output-csharp.md

Hi! My name is Claudia and I am a PM at Microsoft (opinions are my own) working on Polyglot Notebooks in VS Code. Polyglot Notebooks are exactly what you are describing! They are notebooks where you can use multiple languages AND share variables between them to ensure a continuous workflow. Not only that, but each language has language server support. Polyglot Notebooks currently supports C#, F#, PowerShell, JavaScript, HTML, SQL, KQL, and Mermaid.

We have just added support for Python and R integration and I am actually in search of external testers! If you are willing to sign an NDA to try out our Python and R integration and give us feedback please drop your email in the form below and I will reach out with instructions for you to try it out!

https://forms.office.com/r/UQchfQSGa5

If you'd like to start trying it out today you can install the extension from the marketplace here: https://marketplace.visualstudio.com/items?itemName=ms-dotne...

https://github.com/dotnet/interactive

I've been excited about a lot of the work being done in .NET Interactive and Polyglot Notebooks, particuarly with ML with F#. I don't know too much about ML, so I thought I'd check out ML.NET.

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).