fast_imagenet_ffcv | Fast ImageNet training code with FFCV

by tatsu-lab Python Version: Current License: No License

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

kandi X-RAY | fast_imagenet_ffcv Summary

fast_imagenet_ffcv is a Python library. fast_imagenet_ffcv has no bugs, it has no vulnerabilities and it has low support. However fast_imagenet_ffcv build file is not available. You can download it from GitHub.

Fast ImageNet training code with FFCV.

Support

Quality

Security

License

Reuse

Support

fast_imagenet_ffcv has a low active ecosystem.

It has 9 star(s) with 2 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of fast_imagenet_ffcv is current.

Quality

fast_imagenet_ffcv has no bugs reported.

Security

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

License

fast_imagenet_ffcv 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

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

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

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

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fast_imagenet_ffcv Key Features

No Key Features are available at this moment for fast_imagenet_ffcv.

fast_imagenet_ffcv Examples and Code Snippets

No Code Snippets are available at this moment for fast_imagenet_ffcv.

Community Discussions

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

Vulnerabilities

No vulnerabilities reported

Install fast_imagenet_ffcv

Installation: install pytorch and ffcv (https://github.com/libffcv/ffcv). Run via python train_ffcv.py.

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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