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efficient_densenet_pytorch
Python

efficient_densenet_pytorch

A memory-efficient implementation of DenseNets

by gpleiss · GitHub
1.5k
Stars
321
Forks
MIT
License
2017
Created
3 yr ago
Last commit
deep-learning
Category
Python
Language
deep-learningdensenetpytorchMITPython
View on GitHub
In plain words

Run a memory-efficient version of DenseNets for deep learning tasks on your computer.

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2026-07-202026-08-31
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📄 About

A memory-efficient implementation of DenseNets

efficient_densenet_pytorch has 1.5k stars on GitHub. It has been forked 321 times. efficient_densenet_pytorch is written mainly in Python. It has been in active development since 2017. efficient_densenet_pytorch is available under the MIT license. Its main topics are deep-learning, densenet, pytorch.

❓ Frequently asked questions

What is efficient_densenet_pytorch?

A memory-efficient implementation of DenseNets

Is efficient_densenet_pytorch open source?

efficient_densenet_pytorch is an open-source project. It is released under the MIT license.

Is efficient_densenet_pytorch free?

Yes. efficient_densenet_pytorch is free and open source — you can use, modify and self-host it.

What license does efficient_densenet_pytorch use?

efficient_densenet_pytorch is available under the MIT license.

What language is efficient_densenet_pytorch written in?

efficient_densenet_pytorch is written mainly in Python.

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