Statistical-Model-Management-Framework

Statistical Model Management Framework - TensorFlow , Keras etc.

TensorFlow Serving - Source -- https://www.tensorflow.org/serving/architecture_overview

• Servables -- single shard of a lookup table to a single model to a tuple of inference models.

• Typical Servables -- a TensorFlow SavedModelBundle (tensorflow::Session)

• Additional Reads -- TensorFlow Google Group / Forum -- https://groups.google.com/a/tensorflow.org/forum/#!forum/discuss

• Serving INCEPTION using Docker and Kubernetes -- https://www.tensorflow.org/serving/serving_inception

• TensorMSA -- TensorFlow MicroService -- https://github.com/TensorMSA

Guild.ai - Source -- https://www.guild.ai/

• Tensorflow and Keras

Hive ML -- Source -- https://github.com/hiveml/simple-ml-serving

• Quote--"deploy a trained machine learning model to production."

Generic - Deploying Machine Learning Models in Production HOW TO's n Blogs

• https://www.quora.com/How-do-you-take-a-machine-learning-model-to-production

• https://hackernoon.com/a-guide-to-scaling-machine-learning-models-in-production-aa8831163846

• https://machinelearningmastery.com/deploy-machine-learning-model-to-production/

• https://github.com/galiboo/olympus

• https://impythonist.wordpress.com/2015/09/12/build-massively-scalable-restful-api-with-falcon-and-pypy/

• https://towardsdatascience.com/practical-text-generation-with-tensorflow-serving-3fa5c792605e

• Python Model Management Framework -- https://www.studio.ml/#get-started

• DeepLearnJS -- https://github.com/PAIR-code/deeplearnjs