MathNet
ML.NET
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| MathNet | ML.NET | |
|---|---|---|
| 2 | 8 | |
| 2,817 | 7,945 | |
| 1.4% | 0.9% | |
| 8.9 | 8.6 | |
| 8 days ago | 7 days ago | |
| C# | C# | |
| GNU General Public License v3.0 or later | 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
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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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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!
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Perf Avore: A Rule Based CrossPlatform Performance Based Monitoring and Analysis Tool
The one Anomaly Detection algorithm implemented is that of Independent and Identically Distributed Spike Detector from Microsoft.ML.TimeSeries that makes use of adaptive kernel density estimation to compute p-values to decide how much of an anomaly a certain point is.
- F# 6 is officially here!
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MissingMethodException : void Tensorflow
Link? I'm guessing it's https://github.com/dotnet/machinelearning
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How could one pause and resume ML.NET AutoML Regression experiments?
Let's see what the ML.NET community thinks about Pausing and resuming AutoML experiments
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Machine Learning .NET v1.5.4 has been released
Only https://github.com/dotnet/machinelearning/releases needs to be updated.
- Machine Learning .NET v1.5.4 has been released last week.
What are some alternatives?
TensorFlow.NET - .NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.
Accord.NET
OpenCvSharp - OpenCV wrapper for .NET
FaceRecognitionDotNet - The world's simplest facial recognition api for .NET on Windows, MacOS and Linux
Deedle - Easy to use .NET library for data and time series manipulation and for scientific programming
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.
AForge.NET - AForge.NET Framework is a C# framework designed for developers and researchers in the fields of Computer Vision and Artificial Intelligence - image processing, neural networks, genetic algorithms, machine learning, robotics, etc.
MKL.NET - A simple cross platform .NET API for Intel MKL
Microsoft Automatic Graph Layout - A set of tools for graph layout and viewing
AngouriMath - Open-source cross-platform symbolic algebra library for C# and F#. One of the most powerful in .NET. Can be used for both production and research purposes.
UnitConversion - Expansible Unit Conversion Library for .Net Core and .Net Framework
AutoDiff - A .NET library that provides fast, accurate and automatic differentiation (computes derivative / gradient) of mathematical functions.