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MNN

A lightweight deep neural network inference engine (by Alibaba)
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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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MNN's Features

  • 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?
DNN
It is the leading open source web content management platform (CMS) in the Microsoft ecosystem. The product is used to build professional looking and easy-to-use commercial websites, social intranets, community portals, or partner extranets. Containing dynamic content of all types, DNN sites are easy to deploy and update.
TensorFlow
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
Keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
scikit-learn
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
PyTorch
PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
See all alternatives

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