# 666DZY666/micronet

<https://repo.masters-masters.com/en/repos/666DZY666/micronet>

[Home](https://repo.masters-masters.com/en) › [666DZY666](https://repo.masters-masters.com/en/owners/666DZY666) › [micronet](https://repo.masters-masters.com/en/repos/666DZY666/micronet)

666DZY666/micronet has 2,262 stars on GitHub. Its RepoMasters card: RC tier. micronet, a model compression and deploy lib. compression: 1、quantization…

| Field | Value |
| --- | --- |
| Owner | [666DZY666](https://repo.masters-masters.com/en/owners/666DZY666) |
| Stars | 2,262 |
| Forks | 469 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2019 |
| Topics | quantization, pruning, dorefa, twn, bnn, xnor-net, pytorch, model-compression, group-convolution, network-slimming |
| Tier | [RC (2,000 to 4,999 ★)](https://repo.masters-masters.com/en/ranks/blockbuster) |
| View on GitHub | [666DZY666/micronet](https://github.com/666DZY666/micronet) |

## Repository

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(\>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantizati…

The tier for repos with 2,000 to 4,999 ★. Published odds per card pulled: 3%. Rarity: Epic.

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