How to get started with machine learning.

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  • tvm

    Open deep learning compiler stack for cpu, gpu and specialized accelerators

    Or use TVM, the idea is to compile your model into code that you can load at runtime. Similar to onnxruntime, it only does DNN inference; so you need domain-specific code.

  • spaCy

    💫 Industrial-strength Natural Language Processing (NLP) in Python

    Given your need, I think you'll be better off with libraries like Spacy, which does NLP (rather than just DNN inference). You'll get your app much faster this way.

  • Scout APM

    Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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