tensorbank | Assorted algorithms expressed in Tensors

by pshved Python Version: 0.2.1 License: MIT

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kandi X-RAY | tensorbank Summary

tensorbank is a Python library. tensorbank has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However tensorbank build file is not available. You can install using 'pip install tensorbank' or download it from GitHub, PyPI.

TensorBank is a collection of assorted algorithms expressed in Tensors. We do not intend to limit ourselves to a specific domain. The initial batch of algorithms is focused on point and box gemoetry for some object detection tasks, but more algorithms will be added later. We are open to all backends, including Tensorflow, Pytorch, and NumPy. Primarily, this project is to avoid copy-pasting the "utils" directory from one project to the next :-).

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Support

tensorbank has a low active ecosystem.

It has 1 star(s) with 0 fork(s). There are 2 watchers for this library.

It had no major release in the last 12 months.

tensorbank has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of tensorbank is 0.2.1

Quality

tensorbank has 0 bugs and 0 code smells.

Security

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

tensorbank code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

tensorbank 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

tensorbank releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

tensorbank has no build file. You will be need to create the build yourself to build the component from source.

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

Top functions reviewed by kandi - BETA

kandi has reviewed tensorbank and discovered the below as its top functions. This is intended to give you an instant insight into tensorbank implemented functionality, and help decide if they suit your requirements.

Computes evenly spaced boxes .
Slice a tensor .
Compute the intersection of two tensors .
r Return the intersection of two tensors .
Compute the area of a tensor .
Computes the L2 distance between two matrices .
Distance between two tensors .
Computes the distance between two tensors .
Return the area of two objects .
Run the tool .

Get all kandi verified functions for this library.

tensorbank Key Features

No Key Features are available at this moment for tensorbank.

tensorbank Examples and Code Snippets

No Code Snippets are available at this moment for tensorbank.

Community Discussions

No Community Discussions are available at this moment for tensorbank.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install tensorbank

You can install using 'pip install tensorbank' or download it from GitHub, PyPI.
You can use tensorbank like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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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