openiddict-core VS ML.NET

Openiddict is also an option. Check it out.https://github.com/openiddict/openiddict-core

To implement an OAuth server together with OpenID connect specification, I used a free and open source framework called Openiddict. You should checkout their GitHub repository at github.com/openiddict/openiddict-core. It is a nice and feature rich tool which help you get started very fast. However, comparing to alternatives like identity server, it needs more implementation rather functionalities coming out of the box.

You can use Openidict https://documentation.openiddict.com/, give it a try

Openiddict to create your own OpenID Connect server if you want to deep dive into auth https://github.com/openiddict/openiddict-core

If you do want a .NET IdP then you could look into OpenIddict but will require some hands on work, at a minimum authorisation controllers. If you're looking for something more out of the box OrchardCore's OpenId module might be better for you.

I personally prefer using Cookies with openiddict.

Also, the OAuth bit is very cool!! Do you plan to support OpenIddict it’s a free federated identity server.

Okta is a great example of an IdP, although there are many others. Auth0, Ping Federate, Amazon cognito, etc. OP also mentioned Identity Server, which is a framework for implementing your own IdP. I've also personally used an open-source library called [OpenIDDict[(https://documentation.openiddict.com/) to great success. I would highly recommend attempting to implement one of these providers as a learning exercise.

You can direct your question to https://github.com/dotnet/machinelearning/issues. Perhaps it is already documented.

Here I'm analyzing all projects in the src and test directories of the ML.NET repository. I chose to include these as separate paths because they represent two different groupings of projects in this repository.

Important Note: looping over repository commits takes a long time for large repositories. It took 52 minutes to analyze the ML.NET repository this code example refers to, which had 2,681 commits at the time of analysis on February 25th, 2023.

We checked the ML.NET 1.7.1 version. The source code of this project's version is available on GitHub.

machine learning? https://github.com/dotnet/machinelearning

You can follow some of our plans by taking a look at our roadmap which we'll be updating shortly to more accurately reflect the areas we're investing in.

Re: ONNX, if you run into similar issues in the future, feel free to reach out in our GitHub repo or the ONNX Runtime repo and we'd be happy to help!

Good clarification, I think using something like ML.NET could be cool but I have some experience with Blazor that might be fun to use as well, I think generally performance monitoring or optimizing systems seems interesting to me, and I'm really open to other ideas as well. Let me know if any of that helps narrow my question down!