A flexible, high-performance serving system for machine learning models

This is base project of bentoml and machine learning model with poetry env

TensorFlow Serving Basics

Deployment of TensorFlow models into production with TensorFlow Serving, Docker, Kubernetes and Microsoft Azure

Serving as a base for a pathfinding project in Unity3D

Template for a simple API to have a model serving in production.

A proof-of-concept on how to install and use Torchserve in various mode

End to End Text Classifaction MLOps Project using Tekton Pipelines

Demonstrating how to build an XGBoost model and deploy it to Algorithmia, from a Jupyter notebook

A Simple way to deploy your tensorflow.keras model using Flask

ML

A flexible, high-performance serving system for machine learning models

A simple, consolidated, extensible gRPC-based client implementation for querying TensorFlow Model Server.

This repository addresses the complex task of multi-class prediction for cirrhosis outcomes, a chronic liver condition characterized by tissue damage. Focused on forecasting diverse outcomes such as severity levels and disease stages, the model holds significance in enhancing personalized healthcare for cirrhosis patients.

something about JetsonTX2 and the appliaction of model-serving (Tensorflow) on it

Beginner friendly starting point for Tensorflow Serving and Docker

Docker-based Machine Learning models serving

it reads files & suspends them in memory for performant serving/access

Experimental standalone tensorflow/serving grpc client for ARM

CLI for the Hydrosphere.io project.