# uber-research/permute-quantize-finetune

<https://repo.masters-masters.com/en/repos/uber-research/permute-quantize-finetune>

[Home](https://repo.masters-masters.com/en) › [uber-research](https://repo.masters-masters.com/en/owners/uber-research) › [permute-quantize-finetune](https://repo.masters-masters.com/en/repos/uber-research/permute-quantize-finetune)

uber-research/permute-quantize-finetune has 146 stars on GitHub. Its RepoMasters card: Prototype tier. Using ideas from product quantization for…

| Field | Value |
| --- | --- |
| Owner | [uber-research](https://repo.masters-masters.com/en/owners/uber-research) |
| Stars | 146 |
| Forks | 15 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2020 |
| Topics | deep-learning, network-compression, vector-quantization |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [uber-research/permute-quantize-finetune](https://github.com/uber-research/permute-quantize-finetune) |

## Repository

Using ideas from product quantization for state-of-the-art neural network compression.

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.