Example Hello World war-file for testing purposes.

🚀 Simple deployment tool, that works painlessly

🧟 Zombie Detector Web App 📊 Predicts survival chances in a zombie apocalypse scenario. 🌍 Prepare yourself for the undead with tips and resources. 🔮 Built with Flask, scikit-learn, and JavaScript. 🖥️ Deployed on a web server. 💻 Join the fight against the walking dead! 💪

Jfrog Container Registry

We've got a workflow problem. And we're fixing it - here’s Enrol (step 1).

My Demo Repo For Gatsby Cloud Deployment. Used Gatsby's Demo Stater Blog Page for Example

SonarQube deployment

Dockerizing a deep learning model

A new homogeneous way to deploy your heterogeneous apps

This project features a Next Word Prediction Model deployed via a FLASK API, implemented using a Bi-LSTM model with an attention layer.

The final stage of the ML lifecycle is the deployment. For that, the solution notebook has to be converted into a format that could be scalable. The basic approach is to convert the file to 3 different files that is a configuration file, preprocessing file & pipeline file

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

End-to-end machine learning regression model with heroku deployment for predicting flight ticket prices.

Webhook deploy using flask

Backend deployment repo on render for Todo App

Installation of Cascade with docker-compose

Let's see how to deploy a Laravel application on a Linux web server running with Apache

As a part of ATS Infotech AI & ML course, trained a model for Flight Fare Prediction and deployed on Heroku!

Cyclops offers a range of tools that make it easier to handle complex ML deployments, monitor applications, and ensure everything runs smoothly.