# gpleiss/efficient\_densenet\_pytorch

<https://repo.masters-masters.com/en/repos/gpleiss/efficient_densenet_pytorch>

[Home](https://repo.masters-masters.com/en) › [gpleiss](https://repo.masters-masters.com/en/owners/gpleiss) › [efficient\_densenet\_pytorch](https://repo.masters-masters.com/en/repos/gpleiss/efficient_densenet_pytorch)

gpleiss/efficient\_densenet\_pytorch has 1,536 stars on GitHub. Its RepoMasters card: Beta tier. A memory-efficient implementation of DenseNets Language: Python.

| Field | Value |
| --- | --- |
| Owner | [gpleiss](https://repo.masters-masters.com/en/owners/gpleiss) |
| Stars | 1,536 |
| Forks | 319 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2017 |
| Topics | densenet, pytorch, deep-learning |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [gpleiss/efficient\_densenet\_pytorch](https://github.com/gpleiss/efficient_densenet_pytorch) |

## Repository

A memory-efficient implementation of DenseNets

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.