# magic-research/Dataset\_Quantization

<https://repo.masters-masters.com/en/repos/magic-research/Dataset_Quantization>

[Home](https://repo.masters-masters.com/en) › [magic-research](https://repo.masters-masters.com/en/owners/magic-research) › [Dataset\_Quantization](https://repo.masters-masters.com/en/repos/magic-research/Dataset_Quantization)

magic-research/Dataset\_Quantization has 260 stars on GitHub. Its RepoMasters card: Alpha tier. \[ICCV2023\] Dataset Quantization Language: Python.

| Field | Value |
| --- | --- |
| Owner | [magic-research](https://repo.masters-masters.com/en/owners/magic-research) |
| Stars | 260 |
| Forks | 19 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2023 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [magic-research/Dataset\_Quantization](https://github.com/magic-research/Dataset_Quantization) |

## Repository

\[ICCV2023\] Dataset Quantization

Archived: this repository is read-only

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.