Synapses
ML.NET
Our great sponsors
| Synapses | ML.NET | |
|---|---|---|
| 1 | 17 | |
| 68 | 8,813 | |
| - | 0.5% | |
| 0.0 | 8.9 | |
| over 2 years ago | 6 days ago | |
| Elixir | 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.
Synapses
ML.NET
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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.
- 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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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.
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Machine Learning .NET v1.5.4 has been released
Only https://github.com/dotnet/machinelearning/releases needs to be updated.
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
FaceRecognitionDotNet - The world's simplest facial recognition api for .NET on Windows, MacOS and Linux
OpenCvSharp - OpenCV wrapper for .NET
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.
m2cgen - Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
Infer.NET - UAI 2015. Kernel-based just-in-time learning for expectation propagation
Brain.js - Simple feed-forward neural network in JavaScript
Accord.NET Extensions