# Mxbonn/INQ-pytorch

<https://repo.masters-masters.com/en/repos/Mxbonn/INQ-pytorch>

[Home](https://repo.masters-masters.com/en) › [Mxbonn](https://repo.masters-masters.com/en/owners/Mxbonn) › [INQ-pytorch](https://repo.masters-masters.com/en/repos/Mxbonn/INQ-pytorch)

Mxbonn/INQ-pytorch has 164 stars on GitHub. Its RepoMasters card: Prototype tier. A PyTorch implementation of "Incremental Network Quantization: Towards…

| Field | Value |
| --- | --- |
| Owner | [Mxbonn](https://repo.masters-masters.com/en/owners/Mxbonn) |
| Stars | 164 |
| Forks | 28 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2019 |
| Topics | pytorch, quantization |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [Mxbonn/INQ-pytorch](https://github.com/Mxbonn/INQ-pytorch) |

## Repository

A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"

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.