There are 5 repositories under mlops-project topic.
Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.
End to end machine leanring project: This repository serves as a simplified guide to help you grasp the fundamentals of MLOps.
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.
Automated pipeline for energy consumption forecasting across Europe using Azure cloud and Databricks.
This repo shows how to implement a simple image generation app that uses Jax-Implementation of a conditional VAE, Jax, fastapi, docker, streamlit, heroku, ec2, and cloudflare :smiley:
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
Implementation of classification of grammatically correct sentences and wrong sentences, and integration of MLOps tools.
Udacity NanoDegree Course 3 Project "Deploying a Machine Learning Model on Heroku with FastAPI"
Aircraft components are susceptible to degradation, which affects directly their reliability and performance. This machine learning project will be directed to provide a framework for predicting the aircraft’s remaining useful life (RUL) based on the entire life cycle data in order to provide the necessary maintenance behavior.
Categorizing IMDB reviews into positive or negative sentiments, emphasizing MLOps practices.
This project deploys a diabetes prediction model on AWS using MLOps principles. It features a Flask-based UI for user interaction and utilizes CI/CD pipelines for automated deployment. By leveraging AWS infrastructure, the project ensures scalability, version control, and monitoring of the deployed model.
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
Repositorio para Bootcamp de Data Science y MLOps 2023 de la Escuela de Datos Vivos
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.
Predictive maintenance can help companies minimize downtime, reduce repair costs, and improve operational efficiency. Developing a web application for predictive maintenance can provide users with real-time insights into equipment performance, enabling proactive maintenance, and reducing unplanned downtime.
Semantic Search and offer relevance using Sentence BERT
Official Course Webpage for CS175: Projects in AI
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.
Predicting how a customer will feel about a product before they even ordered it.
O objetivo deste repositório é criar um template para projetos de ciências de dados/mlops
Primero Proyecto Individual del curso de Data Science en Henry
DeMLopment - putting ML in Software Development. Very much a work in progress, so check back often! :)
An application for violent threat detection
House sales : prices prediction website
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.
A repository for Customer Satisfaction ML project 🚀. Using the power of Zenml, this repo ensures seamless integration of Machine Learning Operations.🤖
An opensource automated MLOps library for MLFlow in python.
In this repository, I guide you through deploying a Machine Learning project, specifically the Loan Approval Classifier, on Azure Cloud. Explore the entire process, from building the classifier codebase to seamless deployment. Dive into comprehensive steps, leveraging Azure Cloud for a robust machine learning solution. Let's empower your projects .
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.
MLOps System for Credit Ranking Project
This project aims to predict fare rates for Uber transactions in New York City. By leveraging historical trip data, we intend to develop a model that accurately estimates fare prices for future rides.
Handbook for putting applications in the cloud referencing DS and ML paradigms.