SaaSHub helps you find the best software and product alternatives Learn more →
ML.NET Alternatives
Similar projects and alternatives to ML.NET
-
Pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
-
Avalonia
Develop Desktop, Embedded, Mobile and WebAssembly apps with C# and XAML. The most popular .NET UI client technology
-
-
-
-
interactive
.NET Interactive combines the power of .NET with many other languages to create notebooks, REPLs, and embedded coding experiences. Share code, explore data, write, and learn across your apps in ways you couldn't before.
-
-
Silk.NET
The high-speed OpenGL, OpenCL, OpenAL, OpenXR, GLFW, SDL, Vulkan, Assimp, WebGPU, and DirectX bindings library your mother warned you about.
-
-
-
-
UWP Community Toolkit
The Windows Community Toolkit is a collection of helpers, extensions, and custom controls. It simplifies and demonstrates common developer tasks building .NET apps with UWP and the Windows App SDK / WinUI 3 for Windows 10 and Windows 11. The toolkit is part of the .NET Foundation.
-
ReactiveUI
An advanced, composable, functional reactive model-view-viewmodel framework for all .NET platforms that is inspired by functional reactive programming. ReactiveUI allows you to abstract mutable state away from your user interfaces, express the idea around a feature in one readable place and improve the testability of your application.
-
-
-
-
-
TensorFlow.NET
.NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.
-
FaceRecognitionDotNet
The world's simplest facial recognition api for .NET on Windows, MacOS and Linux
ML.NET discussion
ML.NET reviews and mentions
-
Classifying bugfix commits with ML.NET
ML.NET – Microsoft’s machine learning library for .NET applications
-
ML.net image classification, poor GPU accuracy
You can direct your question to https://github.com/dotnet/machinelearning/issues. Perhaps it is already documented.
-
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.
-
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?
-
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)
-
Why is there a lack of cool repos?
machine learning? https://github.com/dotnet/machinelearning
-
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.
-
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!
-
A note from our sponsor - SaaSHub
www.saashub.com | 7 Dec 2024
Stats
dotnet/machinelearning is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of ML.NET is C#.