Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.

Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.

The project is a concoction of research (audio signal processing, keyword spotting, ASR), development (audio data processing, deep neural network training, evaluation) and deployment (building model artifacts, web app development, docker, cloud PaaS) by integrating CI/CD pipelines with automated tests and releases.

Categorizing IMDB reviews into positive or negative sentiments, emphasizing MLOps practices.

An application for violent threat detection

Explore MLOps excellence! This repository curates mini-projects demonstrating ML deployment, NLP, and Deep Learning. Discover CI/CD/CT pipelines, best practices, and dive into practical MLOps insights. Elevate your skills in deploying and managing cutting-edge machine learning applications.

End to end machine leanring project: This repository serves as a simplified guide to help you grasp the fundamentals of MLOps.

Automated pipeline for energy consumption forecasting across Europe using Azure cloud and Databricks.

Consignment-Price Prediction project aims to develop a machine learning model that can accurately predict the price of consignment items based on various features and variables

This web application utilizes cutting-edge artificial intelligence to help people understand their risk of developing kidney disease. Developed with user-friendliness in mind, this tool allows individuals to easily enter their information and receive a personalized risk assessment.

This project understands how the student's performance (test scores) is affected by other variables such as Gender, Ethnicity, Parental level of education, Lunch and Test preparation course.

An application for violent threat detection

DeMLopment - putting ML in Software Development. Very much a work in progress, so check back often! :)

This Vertex AI Pipeline orchestrates the selection, deployment, and real-time monitoring of the highest-performing machine learning model from a pool of candidates. Designed to support a dynamic and collaborative model development environment, it ensures that only the most accurate and relevant models are deployed for fraud detection tasks.

Repositorio para Bootcamp de Data Science y MLOps 2023 de la Escuela de Datos Vivos

Official Course Webpage for CS175: Projects in AI

Implementation of classification of grammatically correct sentences and wrong sentences, and integration of MLOps tools.

Handbook for putting applications in the cloud referencing DS and ML paradigms.

Udacity NanoDegree Course 3 Project "Deploying a Machine Learning Model on Heroku with FastAPI"

Uncover the secrets of deploying ML models in production with this tutorial. Leveraging the Titanic dataset, learn the ins and outs of transitioning from research to production. Master modularization, code standards, and scalability for successful machine learning deployments.