awesome-dotnet-machine-learning
github.com/coderonion/awesome-dotnet-machine-learning ↗A collection of some awesome public machine learning framework, tutorial, blogs, library and applications for .NET.
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FrameworkTutorialLibraryApplications
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Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me object detection resources from awesome-dotnet-machine-learning"
Installation instructions →What's inside
Applications
- 0Kirby/ThrowObjectDetectionWinUIObject Detection
- aliardan/RoadMarkingDetectionObject Detection
- Alturos.YoloObject Detection
- AR Foundation SamplesSimulation Engine
- BobLd/YOLOv4MLNetObject Detection
- BotSharpChatbot Platform
Framework
- Accord.NET
- AForge.NET
image processing, neural networks, genetic algorithms, machine learning, robotics, etc.
- Bright Wire
- ConvNetSharp
- DeOldify.NET
- DiffSharp
Library
- Amplifier.NETGPU Integration
- AngouriMathScientific Computation
- BarracudaGPU Integration
- C2CSFFI Bindings
- ClangSharpFFI Bindings
- ComputeSharpGPU Integration
Showing a sample of 133 resources. View the full list on GitHub →