A project boilerplate for the EnrolZSH plugin
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Updated
Oct 21, 2016 - Shell
A project boilerplate for the EnrolZSH plugin
A new homogeneous way to deploy your heterogeneous apps
Let's see how to deploy a Laravel application on a Linux web server running with Apache
We've got a workflow problem. And we're fixing it - here’s Enrol (step 1).
🚀 Simple deployment tool, that works painlessly
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"
As a part of ATS Infotech AI & ML course, trained a model for Flight Fare Prediction and deployed on Heroku!
End-to-end machine learning regression model with heroku deployment for predicting flight ticket prices.
My Demo Repo For Gatsby Cloud Deployment. Used Gatsby's Demo Stater Blog Page for Example
Webhook deploy using flask
Backend deployment repo on render for Todo App
Installation of Cascade with docker-compose
Example Hello World war-file for testing purposes.
Dockerizing a deep learning model
🧟 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! 💪
This project features a Next Word Prediction Model deployed via a FLASK API, implemented using a Bi-LSTM model with an attention layer.
SonarQube deployment
Jfrog Container Registry
Add a description, image, and links to the deployement topic page so that developers can more easily learn about it.
To associate your repository with the deployement topic, visit your repo's landing page and select "manage topics."