AutoMLPipeline vs MNN

AutoMLPipeline vs MNN: What are the differences?

What is AutoMLPipeline? A package that makes it trivial to create and evaluate machine learning pipeline architectures (by IBM). It is a package that makes it trivial to create complex ML pipeline structures using simple expressions. It leverages on the built-in macro programming features of Julia to symbolically process, manipulate pipeline expressions, and automatically discover optimal structures for machine learning prediction and classification.

What is MNN? A lightweight deep neural network inference engine (by Alibaba). 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.

AutoMLPipeline and MNN can be categorized as "Machine Learning" tools.

Some of the features offered by AutoMLPipeline are:

• Pipeline API that allows high-level description of processing workflow
• Common API wrappers for ML libs including Scikitlearn, DecisionTree, etc
• Symbolic pipeline parsing for easy expression of complexed pipeline structures

On the other hand, MNN provides the following key 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

AutoMLPipeline and MNN are both open source tools. It seems that MNN with 3.77K GitHub stars and 784 forks on GitHub has more adoption than AutoMLPipeline with 164 GitHub stars and 9 GitHub forks.