GenericTensor | library allowing to create Tensors | Machine Learning library

by asc-community C# Version: 0.1.0-beta License: MIT

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kandi X-RAY | GenericTensor Summary

GenericTensor is a C# library typically used in Artificial Intelligence, Machine Learning, Numpy applications. GenericTensor has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

It is the only fully-implemented generic-tensor library for C#. Allows to work with tensors of custom types. Tensor - is an extentension of matrices, a N-dimensional array. Soon you will find all common functions that are defined for matrices and vectors here. In order to make it custom, Tensor class is generic, which means that you could use not only built-in types like int, float, etc., but also your own types.

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GenericTensor has a low active ecosystem.

It has 27 star(s) with 3 fork(s). There are 2 watchers for this library.

It had no major release in the last 12 months.

There are 5 open issues and 6 have been closed. On average issues are closed in 8 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of GenericTensor is 0.1.0-beta

Quality

GenericTensor has 0 bugs and 0 code smells.

Security

GenericTensor has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

GenericTensor code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

GenericTensor is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

GenericTensor releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

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GenericTensor Key Features

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GenericTensor Examples and Code Snippets

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Community Discussions

Trending Discussions on GenericTensor

HuggingFace | PipelineException: No mask_token () found on the input

QUESTION

HuggingFace | PipelineException: No mask_token () found on the input

Asked 2022-Jan-06 at 11:10

Goal: to for-loop over multiple models, print() elapsed time.

Processing one Model works fine:

...

ANSWER

Answered 2022-Jan-06 at 11:10

Only certain models would throw that error.

Since I am experimenting with runtimes for any model, the below suffices. I was successful at running the majority of models.

I applied try except logic. Note, it is considered bad practice to handle exceptions without naming the error specifically in the except statement.

Source https://stackoverflow.com/questions/70594724

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install GenericTensor

GT is available on NuGet.

Support

We appreciate your willing to contribute to GenericTensor. Fork the repository, commit your changes and create a pull request. We also appreciate early pull requests. To make sure your improvement is relevant, we recommend you first to contact us in our discord server. Contributors: WhiteBlackGoose, Nucs, ZacharyPattern, Happypig375, MomoDeve.

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