infer
TensorFlow.NET
| infer | TensorFlow.NET | |
|---|---|---|
| 3 | 18 | |
| 1,539 | 3,129 | |
| 0.3% | 1.2% | |
| 6.7 | 8.6 | |
| 2 months ago | 23 days ago | |
| C# | C# | |
| MIT License | Apache License 2.0 |
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.
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:
TensorFlow.NET
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Sentiment analysis in c#
But to answer your question. I've run UNet in C#. I trained the data originally using python and used SciSharp to run the model using GPU for a solution more than 5 years ago.
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AI .NET
TensorFlow .Net
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The Ultimate Guide to Tech Stack for Indie Hackers in 2023
Yes, exactly. Since you will probably use scikit / tensorflow / pytorch with Python, you can call your model directly in a Django controller. Using other frameworks you will probably have to create a separate microservice with a model exposed via Rest API or use bindings like TensorFlow.NET
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Have anyone use ML Net for production?
Not even close , It is close to python's scikit learn , and it does not have it is own deep learning framework like tensorflow or pytorch , while there are some developers that are trying to implement tensorflow in dotnet , they are doing a good job at providing TensorFlow's low-level C++ API , However c# is not as good as python in manipulating data , there are tons of online materials for python's data science libraries like numpy , pandas , scikit learn , tensorflow , pytorch , quick bug fixes , even some support for unique cases .
- If you had to pick a library from another language (Rust, JS, etc.) that isn’t currently available in Python and have it instantly converted into Python for you to use, what would it be?
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Does anyone have any experience using ML.NET for forecasting?
But Ive actually been looking at TensorFlow.NET. Its uses .NET binding for TensorFlow machine learning library. Heres the GitHub page: https://github.com/SciSharp/TensorFlow.NET
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Does Microsoft use F# for any of its internal projects?
If you're pointing out that Tensorflow.NET is exciting (https://github.com/SciSharp/TensorFlow.NET), I agree!
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Is F# a viable language for machine learning akin to Python?
Looks like TensorFlow is callable directly from .NET. https://github.com/SciSharp/TensorFlow.NET
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Need help Understanding A Neural Net better [P]
Building neural nets from scratch is going to be really hard, for a lot of reasons that you're not even aware of yet. You're better off using preexisting machine learning frameworks. For example here's a library for using tensorflow in c#: https://github.com/SciSharp/TensorFlow.NET
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How to develop an applications with multiple programming language
Why don't you try this: https://www.nuget.org/packages/TensorFlow.NET/ (and maybe other nugets).
What are some alternatives?
TensorFlowSharp - TensorFlow API for .NET languages
ML.NET - ML.NET is an open source and cross-platform machine learning framework for .NET.
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.
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
Accord.NET
NumSharp - High Performance Computation for N-D Tensors in .NET, similar API to NumPy.
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
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.
encog-dotnet-core