TorchSharp
NumSharp
TorchSharp | NumSharp | |
---|---|---|
5 | 4 | |
1,254 | 1,314 | |
4.0% | 1.2% | |
9.5 | 3.3 | |
5 days ago | 5 months 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.
TorchSharp
- AI .NET
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Machine learning with NET
There exist TorchSharp that is a ะก# wrapper around the same libtorch.dll that is wrapped by Python code in PyTorch, https://github.com/dotnet/TorchSharp. Though I don't know how exhaustive it is.
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When the client's management is happy but their dev team is a pain
https://github.com/dotnet/TorchSharp here you go.
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Does anyone actually use ML.NET?
With TorchSharp, you have access to libtorch in .NET, the library that powers PyTorch. This is what's currently backing the Text Classification API
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.NET Core
In Artificial Intelligence Series-Overview
TorchSharp is a .NET library that provides access to libraries that support PyTorch. (Github https://github.com/xamarin/TorchSharp)
NumSharp
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AI .NET
Check this link https://github.com/SciSharp
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What APIs/Libraries do you think .NET is missing, that can be found in other programming platforms/languages?
Have you tried SciSharpSciSharp for your use cases?
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.NET Core
In Artificial Intelligence Series-Overview
In Python, we need to use Numpy to do a large amount of data processing, complete matrix operations, and multi-dimensional data conversion. NumSharp is an open source .NET Core version of Numpy provided by a third party. (Github https://github.com/SciSharp/NumSharp)
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Not serious: performance of an extreme monster class
https://github.com/SciSharp/NumSharp/tree/master/src/NumSharp.Core/Backends/Default This is a monster class I wrote, a backend engine of Python's numpy ported to pure C#. Around 300k lines (mostly generated) Visual studio has no issues opening it but Rider and Resharper crash after 10 minutes of use after opening any of the partial files which will work if you turn of Solution-Wide Analysis.
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#.
csharpier - CSharpier is an opinionated code formatter for c#.
TensorFlowSharp - TensorFlow API for .NET languages
onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Pandas.NET - Pandas port for C# and F#, data analysis tool, process multi-dim array in DataFrame.
DotMLBooks
nerfstudio - A collaboration friendly studio for NeRFs
orange - ๐ :bar_chart: :bulb: Orange: Interactive data analysis
ParquetSharp.DataFrame - ParquetSharp.DataFrame is a .NET library for reading and writing Apache Parquet files into/from .NET DataFrames, using ParquetSharp