mlops-project

prsdm/mlops-project

Azure/mlops-templates

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

Harly-1506/MLOps-Recommendation

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

Chandru-21/MLOps_Project

An end-to-end MLOps pipeline(CI/CD/CT/CM) project for training, versioning, deploying, and monitoring machine learning models using FastAPI, Kubernetes, MLflow, DVC, Prometheus, and Grafana.

Jithsaavvy/Deploying-an-end-to-end-keyword-spotting-model-into-cloud-server-by-integrating-CI-CD-pipeline

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.

nathadriele/machine-learning-zoomcamp

The Machine Learning Zoomcamp teaches foundational and advanced ML concepts using tools like NumPy, Pandas, Scikit-Learn, TensorFlow, XGBoost, Flask, Docker, AWS, Kubernetes, and KServe. It covers regression, classification, evaluation metrics, neural networks, deployment strategies, and end-to-end projects to bridge theory and practice.

praj2408/Consignment-Pricing-using-MLOps-DVC

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

EzioDEVio/MLOps

MLOps deploying house estimate model

Philippos01/mlops-energy-forecast-thesis

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

Praveen76/MLOps-Mini-Projects

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.

praj2408/Predictive-Maintenance-System-Monitoring

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.

manhph2211/ML-Pipeline

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:

abrahamkoloboe27/Demo-CICD-With-Github-Actions-ATUT-SN

CI/CD ( Continous Deploy) With Github Actions, Docker & Docker Compose

faizan1234567/sentence-classification

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

msinha251/Udacity_MLDevops_C3_Project

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

Sengarofficial/Predictive_Maintenance_With_MLops

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.

Shuyib/mawingu-experiments

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

tph-kds/anomaly_detection_in_transactions

This project aims to detect fraudulent transactions by leveraging machine learning-based anomaly detection techniques, and to develop an automated system that can monitor transactions in real-time, identify anomalies, and flag potential fraudulent transactions for further investigation.

abhi227070/ML-Model-Deployment-in-AWS

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.

AnasAber/MLflow_with_RAG

Using MLflow to deploy your RAG pipeline, using LLamaIndex, Langchain and Ollama/HuggingfaceLLMs/Groq

bhnum/mlops-threats

An application for violent threat detection

izam-mohammed/Customer-Satisfaction-MLOps

A repository for Customer Satisfaction ML project 🚀. Using the power of Zenml, this repo ensures seamless integration of Machine Learning Operations.🤖

JBris/clearml-testing

Testing out ClearML.

neemiasbsilva/kedro_orchestrate_dl_transformer_arch

A pipeline using Kedro to orchestrate the deployment of a deep learning transformer model for classifying toxic comments. This project integrates data preprocessing, model training, and deployment into a streamlined and reproducible workflow, enabling efficient handling of the toxic comment classification problem in NLP.

QuyAnh2005/credit-ranking-code

MLOps System for Credit Ranking Project

UC-Irvine-CS175/uci-cs175

Official Course Webpage for CS175: Projects in AI

JBris/flyte-testing

Testing flyte

JBris/kedro-testing

Testing Kedro

JBris/seldon-testing

Testing MLServer and Alibi

JBris/zenml-testing

Testing ZenML

julianapequeno/NOAH-IncidentsDataset

Using IncidentsDataset, a MIT's model, to implement a script for a MLOPS class project. Here you can find the original model's site: http://incidentsdataset.csail.mit.edu/:

RanaSanga85/US-Visa-Approval-Prediction-MLOPs-Project

This project predicts US visa approval using machine learning based on factors like education, job experience, and company details. It integrates MongoDB for data storage and Evidently for model evaluation. The project is structured with modular components for data ingestion, transformation, validation, and model training.

SM0311/MLOPS-HOTEL-BOOKING-CANCELLATION

An end-to-end MLOps project for hotel reservation cancellation prediction, integrating data preprocessing, model training, a Flask-based web app, CI/CD with Jenkins, and deployment using Docker & Google Cloud Run.

udit-rawat/CardioX

An End 2 End MLOps Pipeline replication on toy dataset usinng AWS, MLFlow, Docker.

zamb0/zenml-mlflow

A project to explore and learn about ZenML and mlflow using the hymenoptera dataset from PyTorch