serving
Here are 104 public repositories matching this topic...
Reasonable API for serving TensorFlow models using Scala
-
Updated
Nov 2, 2017 - Scala
Client for TensorFlow Serving
-
Updated
Mar 27, 2018 - Python
A flexible, high-performance serving system for machine learning models
-
Updated
Mar 31, 2018 - C++
This project implements a common rest server which can serve tensorflow-serving & xgboost models.
-
Updated
Jul 15, 2018 - C++
something about JetsonTX2 and the appliaction of model-serving (Tensorflow) on it
-
Updated
Oct 25, 2018
it reads files & suspends them in memory for performant serving/access
-
Updated
Nov 24, 2018 - Go
Deployment of TensorFlow models into production with TensorFlow Serving, Docker, Kubernetes and Microsoft Azure
-
Updated
Dec 6, 2018 - Python
A simple tensorflow C++ REST API server
-
Updated
May 11, 2019 - C++
🍭 Serving system for trained doddle-models
-
Updated
May 22, 2019
A flexible, high-performance serving system for machine learning models
-
Updated
May 30, 2019 - C++
Custom Mask R-CNN matterport's model with tensorflow serving
-
Updated
Aug 27, 2019 - Python
pytorch during training, libtorch during serving via gRPC
-
Updated
Sep 9, 2019 - C++
A simple, consolidated, extensible gRPC-based client implementation for querying TensorFlow Model Server.
-
Updated
Sep 17, 2019 - Python
tensorflow serving client using brpc
-
Updated
Sep 19, 2019 - C++
Improve this page
Add a description, image, and links to the serving topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the serving topic, visit your repo's landing page and select "manage topics."