# xingyul/sparse-winograd-cnn

<https://repo.masters-masters.com/en/repos/xingyul/sparse-winograd-cnn>

[Home](https://repo.masters-masters.com/en) › [xingyul](https://repo.masters-masters.com/en/owners/xingyul) › [sparse-winograd-cnn](https://repo.masters-masters.com/en/repos/xingyul/sparse-winograd-cnn)

xingyul/sparse-winograd-cnn has 191 stars on GitHub. Its RepoMasters card: Prototype tier. Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)

| Field | Value |
| --- | --- |
| Owner | [xingyul](https://repo.masters-masters.com/en/owners/xingyul) |
| Stars | 191 |
| Forks | 48 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2018 |
| Topics | convolutional-neural-networks, winograd, tensorflow, convolution, network-pruning |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [xingyul/sparse-winograd-cnn](https://github.com/xingyul/sparse-winograd-cnn) |

## Repository

Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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