Client for TensorFlow Serving
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Updated
Mar 27, 2018 - Python
Client for TensorFlow Serving
Deployment of TensorFlow models into production with TensorFlow Serving, Docker, Kubernetes and Microsoft Azure
Custom Mask R-CNN matterport's model with tensorflow serving
A simple, consolidated, extensible gRPC-based client implementation for querying TensorFlow Model Server.
A Simple way to deploy your tensorflow.keras model using Flask
Docker-based Machine Learning models serving
Python SDK for the TeachableHub's Machine-Learning Deployment Platform
Simple TensorFlow Estimator 1.x example with Serving API.
Python wrapper class for OpenVINO Model Server. User can submit inference request to OVMS with just a few lines of code.
An object oriented (OOP) approach to train Tensorflow models and serve them using Tensorflow Serving.
Deploy Scikit-Learn models on Kubernetes, using FastAPI with Bodywork.
Deployment template for serving a ML model as web-service with a REST API.
Merging Models for TensorFlow Serving HOT UPDATING
Basic example of Tensorflow Serving
AsyncIO serving for data science models
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