pytorch-resnet | Convert resnet trained in caffe to pytorch model | Machine Learning library

by ruotianluo Python Version: 0.1 License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | pytorch-resnet Summary

pytorch-resnet is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch applications. pytorch-resnet has no bugs, it has no vulnerabilities and it has low support. However pytorch-resnet build file is not available. You can download it from GitHub.

Convert resnet trained in caffe to pytorch model. (group norm resnet is provided too)

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Quality

Security

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Support

pytorch-resnet has a low active ecosystem.

It has 218 star(s) with 45 fork(s). There are 3 watchers for this library.

It had no major release in the last 12 months.

There are 3 open issues and 4 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of pytorch-resnet is 0.1

Quality

pytorch-resnet has 0 bugs and 0 code smells.

Security

pytorch-resnet has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

pytorch-resnet code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pytorch-resnet does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

pytorch-resnet releases are available to install and integrate.

pytorch-resnet 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.

pytorch-resnet saves you 542 person hours of effort in developing the same functionality from scratch.

It has 1270 lines of code, 28 functions and 4 files.

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

Top functions reviewed by kandi - BETA

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

Return the mapping of detectron weight to detectron weight
Map a residual layer to a residual stage

Get all kandi verified functions for this library.

pytorch-resnet Key Features

No Key Features are available at this moment for pytorch-resnet.

pytorch-resnet Examples and Code Snippets

No Code Snippets are available at this moment for pytorch-resnet.

Community Discussions

Trending Discussions on pytorch-resnet

Pytorch features and classes from .npy files

QUESTION

Pytorch features and classes from .npy files

Asked 2022-Jan-31 at 16:06

I am very rookie in moving from TensorFlow to Pytorch. In tensorflow, I can simply load features and labels from separate .npy files and train a CNN using them. It is simple as below:

...

ANSWER

Answered 2022-Jan-31 at 15:42

It seems like you need to create a custom Dataset.

Source https://stackoverflow.com/questions/70925539

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

Vulnerabilities

No vulnerabilities reported

Install pytorch-resnet

You can download it from GitHub.
You can use pytorch-resnet 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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