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Merge branch 'master' of https://github.com/alibaba/MNN
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xiaying committed Oct 30, 2020
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4 changes: 3 additions & 1 deletion README.md
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Expand Up @@ -14,9 +14,11 @@ The design principles and performance data of MNN has been published in an MLSys
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## Documentation
## Documentation and Tools
MNN's docs are in placed in [Yuque docs here](https://www.yuque.com/mnn/en).

MNN Workbench could be downloaded from [MNN's homepage](http://www.mnn.zone), which provides pretrained models, visualized training tools, and one-click deployment of models to devices.

## Key Features
### High performance
- Implements core computing with lots of optimized assembly code to make full use of the ARM CPU.
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4 changes: 3 additions & 1 deletion README_CN.md
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Expand Up @@ -14,9 +14,11 @@ MNN的架构设计理念与性能数据在MLSys 2020上面发表。Paper [在此
year = {2020}
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## 文档
## 文档与工具
MNN的使用文档统一放在语雀,请移步至[语雀文档](https://www.yuque.com/mnn/cn)

[MNN官网](http://www.mnn.zone)上还可以下载MNN团队全新力作MNN工作台,涵盖开箱即用模型、可视化训练等工具,更可以一键部署到多端设备。

## MNN 特色
### 高性能
- 不依赖任何第三方计算库,依靠大量手写汇编实现核心运算,充分发挥ARM CPU的算力。
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