# jiweibo/ImageNet

<https://repo.masters-masters.com/en/repos/jiweibo/ImageNet>

[Home](https://repo.masters-masters.com/en) › [jiweibo](https://repo.masters-masters.com/en/owners/jiweibo) › [ImageNet](https://repo.masters-masters.com/en/repos/jiweibo/ImageNet)

jiweibo/ImageNet has 442 stars on GitHub. Its RepoMasters card: Alpha tier. This implements training of popular model architectures, such as AlexNet, ResNet…

| Field | Value |
| --- | --- |
| Owner | [jiweibo](https://repo.masters-masters.com/en/owners/jiweibo) |
| Stars | 442 |
| Forks | 84 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2017 |
| Topics | pytorch, python, imagenet, alexnet, squeezenet, densenet-pytorch, densenet, resnet, vgg, model-architecture |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [jiweibo/ImageNet](https://github.com/jiweibo/ImageNet) |

## Repository

This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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