NumSharp | High Performance Computation for N-D Tensors in NET, similar API to NumPy | Machine Learning library

by SciSharp C# Version: 0.20.5 License: Apache-2.0

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kandi X-RAY | NumSharp Summary

NumSharp is a C# library typically used in Artificial Intelligence, Machine Learning, Numpy applications. NumSharp has no vulnerabilities, it has a Permissive License and it has medium support. However NumSharp has 2018 bugs. You can download it from GitHub.

NumSharp (NS) is a NumPy port to C# targetting .NET Standard. NumSharp is the fundamental package needed for scientific computing with C# and F#.

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Quality

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Support

NumSharp has a medium active ecosystem.

It has 1198 star(s) with 179 fork(s). There are 76 watchers for this library.

It had no major release in the last 12 months.

There are 121 open issues and 186 have been closed. On average issues are closed in 57 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of NumSharp is 0.20.5

Quality

NumSharp has 2018 bugs (0 blocker, 0 critical, 1437 major, 581 minor) and 165 code smells.

Security

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

NumSharp code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

NumSharp is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

NumSharp releases are available to install and integrate.

Installation instructions are not available. Examples and code snippets are available.

NumSharp saves you 12133 person hours of effort in developing the same functionality from scratch.

It has 24481 lines of code, 7 functions and 655 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

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NumSharp Key Features

No Key Features are available at this moment for NumSharp.

NumSharp Examples and Code Snippets

No Code Snippets are available at this moment for NumSharp.

Community Discussions

Trending Discussions on NumSharp

CSharp: Failed to read LARGE .npy file. Exception is "NumSharp.dll Arithmetic operation resulted in an overflow."

C# NumSharp undefined behavior when using `object` parameter compared to explicit type parameter

QUESTION

CSharp: Failed to read LARGE .npy file. Exception is "NumSharp.dll Arithmetic operation resulted in an overflow."

Asked 2021-Dec-07 at 20:50

I am trying to read a large .npy file in CSharp. In order to do that i am trying to use the NumSharp nuget.

The file is 7GB jagged float array (float[][]). It has ~1 million vectors, each vector is a 960 dimension.

Note: To be more specific the data I use is the GIST from the following link Approximate Nearest Neighbors Large datasets.

The following is the method I use to load the data but it failes with an exception:

...

ANSWER

Answered 2021-Dec-07 at 20:50

The issue is that the NumSharp data-structure is a heavy RAM consumer and it seems to be the CSharp GC is not aware of what NumSharp is allocating so it reaches the RAM limit very fast.

So, In order to overcome this, I split the input npy file so that every part should not consume more than max memory allocation allowed in C# (2147483591). In my case i split into 5 different files (200k vectors each).

python part to split the large .npy file:

Source https://stackoverflow.com/questions/69920737

QUESTION

C# NumSharp undefined behavior when using `object` parameter compared to explicit type parameter

Asked 2021-Sep-23 at 12:44

I am working with NumSharp and a bit new to it. I would like to set multiple data values and there are two main functions of concern:

...

ANSWER

Answered 2021-Sep-23 at 12:44

The reason is double is implicitly convertible to NDArray (by implicit operator defined in NDArray). So when you do:

Source https://stackoverflow.com/questions/69299751

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

Vulnerabilities

No vulnerabilities reported

Install NumSharp

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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