What is MNN?
It is a lightweight deep neural network inference engine. It loads models and do inference on devices. At present, it has been integrated in more than 20 apps of Alibaba-inc, such as Taobao, Tmall, Youku and etc., covering live broadcast, short video capture, search recommendation, product searching by image, interactive marketing, equity distribution, security risk control and other scenarios. In addition, it is also used on embedded devices, such as IoT.
MNN is a tool in the Machine Learning Tools category of a tech stack.
MNN is an open source tool with 4K GitHub stars and 841 GitHub forks. Here’s a link to MNN's open source repository on GitHub
Pros of MNN
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- Optimized for devices, no dependencies, can be easily deployed to mobile devices and a variety of embedded devices
- Supports Tensorflow, Caffe, ONNX, and supports common neural networks such as CNN, RNN, GAN
- High performance
- Easy to use
MNN Alternatives & Comparisons
What are some alternatives to MNN?
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