MathNet
ML.NET
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MathNet | ML.NET | |
---|---|---|
6 | 17 | |
3,383 | 8,825 | |
1.0% | 0.7% | |
5.3 | 8.9 | |
about 1 month ago | 6 days ago | |
C# | 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.
MathNet
- Rust bindings for Avalonia UI Framework
- (C++) Intel MKL ou Eigen pra trabalhar com álgebra linear em grandes data sets?
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Trying to Compute the Square root of a number. C#
Standard deviation isn’t the square root. I generally just use https://numerics.mathdotnet.com . If you need to visualize the data somehow you might want to look at R
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Linear Algebra in Godot?
I've done this with the Mono version of Godot and C# libraries, specifically https://www.alglib.net/ and https://numerics.mathdotnet.com/
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Performant Linear Algebra Library
Maybe something like this: https://numerics.mathdotnet.com?
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Found this in a project I am currently working. Does someone knows the reason to implement it this way?
Math.net Numerics has a lot of that, for this use case it has the extensions AlmostEqual.
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?
MKL.NET - A simple cross platform .NET API for Intel MKL
TensorFlow.NET - .NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.
AngouriMath - New open-source cross-platform symbolic algebra library for C# and F#. Can be used for both production and research purposes.
Accord.NET
Microsoft Automatic Graph Layout - A set of tools for graph layout and viewing
FaceRecognitionDotNet - The world's simplest facial recognition api for .NET on Windows, MacOS and Linux
UnitConversion - Expansible Unit Conversion Library for .Net Core and .Net Framework
OpenCvSharp - OpenCV wrapper for .NET
AutoDiff - A .NET library that provides fast, accurate and automatic differentiation (computes derivative / gradient) of mathematical functions.
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.
Rationals - 🔟 Implementation of rational number arithmetic for .NET with arbitrary precision.
Deedle - Easy to use .NET library for data and time series manipulation and for scientific programming