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A separate numpy package in C# #709
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@ChengYen-Tang |
@ChengYen-Tang When Torchsharp was given a new commitment back in 2021, the aim was to support .NET community to keep e.g. deep machine learning training and inference to stay within ..NET. The decision to imitate python syntax, I believe, is key to a more friendly and low learning curve adoption of TorchSharp by .NET community. The second goal, which I often being reminded of, is to focus and cover the TorchSharp core and keep it up-to-date with the latest PyTorch release. There is still a lot to do for the second goal. This is why, again being reminded often, not to put effort beyond Torchsharp e.g. NumPy HOWEVER, we need ONE EFFORTMany .NET users have expressed before, supporting NumPy would assist the Torchsharp adoption There are many excellent and experienced developers here. The key to bringing reliable NumPy to .NET users is to mobilize them into ONE effort. This could be done OUTSIDE TorchSharp but uses the Torchsharp platform to get coding tips in making the NumPy vision for .NET community reliable. |
Hi @GeorgeS2019 , |
Thanks, I didn't discover this repository before. |
What is the final decision on numpy. How u address this in tensorboard? |
I want to transfer some AI projects on python to C#, because python's multi-core computing is not very friendly, and the basic computing speed of python is not very ideal.
I think numpy is a big problem when I migrate, numpy provides many friendly methods for data processing, but these functions must be implemented by myselves in C#, the SciSharp project does not seem to be actively maintained, and many bugs or functions are not completed
Therefore, I hope that a numpy for .net kit can be provided here, which can be easily combined with TorchSharp
thanks
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