ParquetSharp.DataFrame
TorchSharp
ParquetSharp.DataFrame | TorchSharp | |
---|---|---|
1 | 5 | |
20 | 1,254 | |
- | 4.0% | |
6.0 | 9.5 | |
about 2 months ago | 6 days ago | |
C# | C# | |
Apache License 2.0 | MIT License |
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ParquetSharp.DataFrame
TorchSharp
- AI .NET
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Machine learning with NET
There exist TorchSharp that is a С# 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)
What are some alternatives?
spark - .NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.
TensorFlow.NET - .NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.
onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
NumSharp - High Performance Computation for N-D Tensors in .NET, similar API to NumPy.
TensorFlowSharp - TensorFlow API for .NET languages
DotMLBooks
nerfstudio - A collaboration friendly studio for NeRFs
vision_transformer
beartype - Unbearably fast near-real-time hybrid runtime-static type-checking in pure Python.
ML.NET - ML.NET is an open source and cross-platform machine learning framework for .NET.