# hustzxd/LSQuantization

<https://repo.masters-masters.com/en/repos/hustzxd/LSQuantization>

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

hustzxd/LSQuantization has 138 stars on GitHub. Its RepoMasters card: Prototype tier. The PyTorch implementation of Learned Step size Quantization (LSQ) in…

| Field | Value |
| --- | --- |
| Owner | [hustzxd](https://repo.masters-masters.com/en/owners/hustzxd) |
| Stars | 138 |
| Forks | 21 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2019 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [hustzxd/LSQuantization](https://github.com/hustzxd/LSQuantization) |

## Repository

The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)

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.