In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
Read notes and references on how to deploy deep learning models in real-world applications.
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Free · no card · unsubscribe anytimeIn this repository, I will share some useful notes and references about deploying deep learning-based models in production.
Deep-Learning-in-Production has 4.4k stars on GitHub. It has been forked 686 times. It has been in active development since 2018. Its main topics are angularjs, c-plus-plus, caffe2, convert-pytorch-models.
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
Deep-Learning-in-Production is an open-source project.
Yes. Deep-Learning-in-Production is free and open source — you can use, modify and self-host it.
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