ionide-vscode-fsharp
ML.NET
ionide-vscode-fsharp | ML.NET | |
---|---|---|
16 | 17 | |
841 | 8,846 | |
0.6% | 0.5% | |
8.7 | 8.9 | |
8 days ago | 3 days ago | |
F# | C# | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ionide-vscode-fsharp
- Ask HN: Why do you think F# is not more popular, even within the .NET ecosystem?
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Is there a modern IDE with good support for OCaml?
I'd love to see something similar to Microsoft's Ionide project or for JetBrains to invest in IDE support.
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Why OCaml?
> Pretty good, https://ionide.io
It pains me to admit it because I really like F# but, with due respect to the developers, Ionide and its related projects are the most unstable toolchain I've ever used.
Spend half a day reloading the editor because the extension keeps hanging on non-trivial MSBuild only to discover that the formatter has truncated in half one of the files you worked on due to a soundness bug. (OCaml's editor support, in contrast, is quite stable.)
Rider is the best editing experience I've had with F#, by far.
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How to get a non-broken F# development experience?
I know it's a recurring topic but it's reaching a high level of pain *again* (see NET SDK 6.0.400 and 7.0.100 previews don't currently work with Ionide).
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The Case for C# and .NET
I don't disagree but it owes a lot of that to OCaml. That said, since we're talking about C#, F# and VS Code I'm gonna talk about a pet peeve I have. If you open a C# project in VS Code when the "Ionide" (basically the F# plugin for Code) is installed then Ionide thinks it's a F# project and will open some F# stuff after a few seconds (or prompt you to setup some F# stuff in its gitignore). The root cause has been identified (plugin activates when it sees a ".sln" file), a PR have been opened and rejected with no mention as to why (https://github.com/ionide/ionide-vscode-fsharp/pull/1401) and the developers behind it are frustratingly non-communicative about it, closing issues about it (https://github.com/ionide/ionide-vscode-fsharp/issues/1701). Usual rules about OSS maintainers apply, they don't technically owe us users anything ... but man it feels like we're being trolled by now :D
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Rust Is Hard, Or: The Misery of Mainstream Programming
F# doesn't have a hard dependency on vscode. Resources from MS will obviously encourage using MS tooling, but ionide [1] is really good. The lsp+neovim workflow is not as good but getting better.
[1] https://ionide.io/
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Making Ionide less "intrusive" in its new vscode version
Important thread about this: https://github.com/ionide/ionide-vscode-fsharp/issues/1693
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Perf Avore: A Rule Based CrossPlatform Performance Based Monitoring and Analysis Tool
Perf Avore was developed on VSCode using the ionide plugin and dotnet cli.
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A few newbie questions
I was on .Net 5 but same issue on 6. I tried the fix here- setting FSharp.dotnetRoot explicitly in settings.json and so far it seems better.
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Debugging tests in VS Code
Make sure to keep an eye on this MR for that very capability :)
ML.NET
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ML.net image classification, poor GPU accuracy
You can direct your question to https://github.com/dotnet/machinelearning/issues. Perhaps it is already documented.
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Building a File Analysis Dataset with Python
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.
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Extracting git repository data with PyDriller
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.
- Can we please be allowed to do machine learning object detection model training locally?
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ML.NET: can Microsoft's machine learning be trusted?
We checked the ML.NET 1.7.1 version. The source code of this project's version is available on GitHub.
- Stable Diffusion converted to ONNX (Demo usage, optimized to CPU)
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Why is there a lack of cool repos?
machine learning? https://github.com/dotnet/machinelearning
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what is the future of ML.NET?
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.
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Does anyone actually use ML.NET?
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!
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Requesting Senior Project Ideas
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!
What are some alternatives?
playwright-dotnet - .NET version of the Playwright testing and automation library.
TensorFlow.NET - .NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.
proposal-pipeline-operator - A proposal for adding a useful pipe operator to JavaScript.
Accord.NET
Feliz - A fresh retake of the React API in Fable and a collection of high-quality components to build React applications in F#, optimized for happiness
FaceRecognitionDotNet - The world's simplest facial recognition api for .NET on Windows, MacOS and Linux
jakt - The Jakt Programming Language
OpenCvSharp - OpenCV wrapper for .NET
Perla - A cross-platform tool for unbundled front-end development that doesn't depend on Node or requires you to install a complex toolchain
Catalyst - 🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
Escalin
Deedle - Easy to use .NET library for data and time series manipulation and for scientific programming