An object oriented (OOP) approach to train Tensorflow models and serve them using Tensorflow Serving.
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Updated
Mar 7, 2022 - Python
An object oriented (OOP) approach to train Tensorflow models and serve them using Tensorflow Serving.
An agent that exports telemetry for served ML models in TFServing and KFServing.
Custom Mask R-CNN matterport's model with tensorflow serving
Visual insights which is a web application built using the library dash plotly and FLask functionalities
German - Traffic Sign Image Classification with Docker Deployment simulation using Docker Container
Provide your prediction model through the Tensorflow Serving REST API
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