Check out the
for highly curated tutorials and libraries on docker.
Project Insight is designed to create NLP as a service with code base for both front end GUI (streamlit) and backend server (FastAPI) the usage of ...
Docker in Action
Detailed notes from the book Docker In Action.
A CLI tool that transparently dockerizes your research workflows then helps you develop interactively in the container, locally or submit batch jobs to ...
How to Serve ML Models with TensorFlow Serving and Docker
In this tutorial, I’m going to show you how to serve ML models using Tensorflow Serving, an efficient, flexible, high-performance serving system for ML ...
How Docker Can Help You Become A More Effective Data Scientist
A look at Docker from the perspective of a data scientist.
Python Template for All Projects
A template that gives the batteries required to package code, CI checks, auto build and deploy docs, easy PyPi publishing support and docker files.
NLP (Sentiment Analysis) project to demonstrate a pipeline of data from the very first stage of data collection through ML model deployment.
Fast Api with Dockerization of your ML Models
In this GitHub repo you can able to know and learn how to build a fast API for testing your ML model and can test your ML model with UI and to Dockerize ...
An Introduction to Kubernetes
This blog post will provide an introduction to Kubernetes so that you can understand the motivation behind the tool, what it is, and how you can use it.
Mini-pokedex end to end tutorial - Gotta classify 'em all!
Build a Pokemon image classifier to classify the awesome starters Pikachu, Charmander, Squirtle, and Bulbasaur.
1 - 10
Share a project
Share something you or the community has made with ML.
Share what you've made with ML.