# Zhen-Dong/HAWQ

<https://repo.masters-masters.com/en/repos/Zhen-Dong/HAWQ>

[Home](https://repo.masters-masters.com/en) › [Zhen-Dong](https://repo.masters-masters.com/en/owners/Zhen-Dong) › [HAWQ](https://repo.masters-masters.com/en/repos/Zhen-Dong/HAWQ)

Zhen-Dong/HAWQ has 465 stars on GitHub. Its RepoMasters card: Alpha tier. Quantization library for PyTorch. Support low-precision and mixed-precision…

| Field | Value |
| --- | --- |
| Owner | [Zhen-Dong](https://repo.masters-masters.com/en/owners/Zhen-Dong) |
| Stars | 465 |
| Forks | 85 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2020 |
| Topics | quantization, tvm, model-compression, distillation, quantized-neural-networks, pytorch, hardware-aware, mixed-precision, efficient-neural-networks, 8-bit |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [Zhen-Dong/HAWQ](https://github.com/Zhen-Dong/HAWQ) |

## Repository

Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.

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

## More repos by Zhen-Dong

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