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.

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.

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 😃

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"

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

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.

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

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

Official Course Webpage for CS175: Projects in AI

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.

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.

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

Semantic Search and offer relevance using Sentence BERT

An application for violent threat detection