cls_KD | Knowledge Distillation to Self-Knowledge Distillation

by yzd-v Python Version: Current License: Apache-2.0

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

kandi X-RAY | cls_KD Summary

cls_KD is a Python library typically used in Ethereum, Latex applications. cls_KD has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

'From Knowledge Distillation to Self-Knowledge Distillation: A Unified Approach with Normalized Loss and Customized Soft Labels' and 'ViTKD: Practical Guidelines for ViT Feature Knowledge Distillation'

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Quality

Security

License

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Support

cls_KD has a low active ecosystem.

It has 83 star(s) with 7 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 9 have been closed. On average issues are closed in 2 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of cls_KD is current.

Quality

cls_KD has no bugs reported.

Security

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

License

cls_KD 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

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

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

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cls_KD Key Features

No Key Features are available at this moment for cls_KD.

cls_KD Examples and Code Snippets

No Code Snippets are available at this moment for cls_KD.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install cls_KD

Prepare the dataset in data/imagenet
# Set environment pip install -r requirements.txt pip install torch==1.8.1+cu111 torchvision==0.9.1+cu111 torchaudio==0.8.1 -f https://download.pytorch.org/whl/torch_stable.html
This repo uses mmcls = 0.23.2. If you want to use lower mmcls version for distillation, you can refer MGD to change the codes.

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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