22 Open source projects that are alternatives of or similar to Machine-Learning-Model-Deployment

Uber is interested in predicting rider retention. To help explore this question, they have provided a sample dataset of a cohort of users.

Node & Express Demo App for Azure DevOps

A demonstration of local development and debugging + serverless Azure deployment of a Dockerized Orleans application.

No description or website provided.

Repository for the Azure Developer College Workshop

IIS Manager Extension for Azure Web Apps

A RESTful DAL (Database Abstraction Layer) reference implementation written using Spring.

Repositório responsável pelos workshops de Vue.js com Azure App Service

Deploy static site to azure AppService.

An evaluation of word-embeddings for classification

Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently t…

This Repo Contains Deployment of Machine Learning Models on various cloud services like Azure, Heroku, AWS,GCP etc

Tailwind Traders - Point of Sale Legacy Migration to Microsoft Azure

This repo aims to contain different machine learning use cases along with the descriptions to the model architectures

Azure function based Let's Encrypt automation for Azure CDN & app services

This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en

A webapp wrapper for running node-red in an Azure Web App

Automated VDC on Azure

A Create Next App example repo including a sample Next.js app and Azure DevOps Pipeline for CI/CD to Azure app services.

Blog posts from the App Service team

a delightful machine learning tool that allows you to train, test, and use models without writing code

Science des Données Saison 5: Technologies pour l'apprentissage automatique / statistique de données massives et l'Intelligence Artificielle