TensorFlowSharp
infer
| TensorFlowSharp | infer | |
|---|---|---|
| 2 | 3 | |
| 3,128 | 1,539 | |
| - | 0.3% | |
| 0.0 | 6.7 | |
| 4 months ago | about 2 months 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.
TensorFlowSharp
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AI .NET
TensorFlowSharp
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.NET Core
In Artificial Intelligence Series-Overview
TensorFlowSharp is a TensorFlow model runtime. Compared with TensorFlow.NET, it lacks many functions such as graph calculation and training. (Github https://github.com/migueldeicaza/TensorFlowSharp)
infer
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Rxinfer: Automatic Bayesian Inference Through Reactive Message Passing
A closer library is Infer.NET: https://dotnet.github.io/infer
It includes a really mature compiler that generates very efficient message passing and variational inference, with support for online inference, which is the main focus on Rxinfer.
You can call Infer.NET from Python in a number of ways, despite it is not a CPython library.
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how to execute infer.net tutorial examples on linux?
Hi, I am trying to run infer.net tutorial browser examples without any .net programming experience. I have successfully built the source code from command line.I tried run "dotnet run" on tutorial folder but wasn't successful.
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Trying to run python.NET but haven't been successful
I am trying to infer.net python example on manjaro linux. I keep getting this error:
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#.
PythonNet - Python for .NET is a package that gives Python programmers nearly seamless integration with the .NET Common Language Runtime (CLR) and provides a powerful application scripting tool for .NET developers.
NumSharp - High Performance Computation for N-D Tensors in .NET, similar API to NumPy.
TorchSharp - A .NET library that provides access to the library that powers PyTorch.
WaveFunctionCollapse - Bitmap & tilemap generation from a single example with the help of ideas from quantum mechanics
OneOf - Easy to use F#-like ~discriminated~ unions for C# with exhaustive compile time matching
ML.NET - ML.NET is an open source and cross-platform machine learning framework for .NET.
Mahou - Mahou(魔法) - The magic layout switcher.
MVVMCross - The .NET MVVM framework for cross-platform solutions, including Android, iOS, MacCatalyst, macOS, tvOS, WPF, WinUI
Elasticsearch .NET - This strongly-typed, client library enables working with Elasticsearch. It is the official client maintained and supported by Elastic.
SciSharp-Stack-Examples - Practical examples written in SciSharp's machine learning libraries