Found 92 repositories(showing 30)
vb100
Deploying Models to Production with Mlflow and AWS Sagemaker
HimadeepRagiri
A self-taught AI/ML Engineer and Data Scientist showcase of 30+ production-ready and research projects in Machine Learning, Deep Learning, NLP, and MLOps. Built end-to-end pipelines, real-time systems, and deployable apps using tools like Docker, Kubernetes, Airflow, MLflow, TensorFlow, PyTorch, Hugging Face, and cloud platforms (GCP, AWS).
Manirathinam21
Builted a End-to-End Mlops project with wine_quality dataset, using github actions for CICD pipeline, deployed in AWS cloud with EC2 instance and ECR service. Integrated MLFlow for Experiment Tracking. https://dagshub.com/manirathinam21/End-to-End-ML-Project-with-MLFlow.mlflow\
🚀 Infrastructure-as-Code solution for deploying MLflow tracking server on AWS EC2 with S3 backend storage. Modular Python package using boto3 for automated VPC, EC2, and S3 management.
farazalikhan0871
No description available
longtongster
This repo provides detailed instructions on how to deploy a mlflow server on aws, how to connect to it locally and show that it all works as intended
SunilKumar-ugra
No description available
No description available
AasthaDG
Built end-to-end breast cancer prediction pipeline with ML models (RF, GB, LR), achieving 97% accuracy; deployed FastAPI on AWS with Docker, MLflow tracking, and Streamlit app.
End-to-end ML pipeline for bike sharing demand prediction with MLflow, Prefect, Docker, FastAPI, Terraform, and Evidently AI. Includes automated training, deployment, monitoring, and CI/CD on AWS.
Kaushik3131
🏠 End-to-end ML pipeline for housing price prediction with XGBoost, MLflow tracking, FastAPI REST API, and Streamlit dashboard. Features automated hyperparameter tuning, AWS deployment, and production-ready architecture.
KumudithaSilva
Food Spoilage Detector — End-to-end AI/ML system for detecting food spoilage in supply chains. Combines computer vision, TensorFlow, MLOps (DVC & MLflow), FastAPI, Streamlit, Docker, and AWS for scalable, automated, and production-ready deployment.
Build scalable MLOps pipelines with Git, Docker, and CI/CD integration. Implement MLFlow and DVC for model versioning and experiment tracking. Deploy end-to-end ML models with AWS SageMaker and Huggingface. Automate ETL pipelines and ML workflows using Apache Airflow and Astro. Monitor ML systems using Grafana and PostgreSQL for real-time insights.
viansebastian
This repository is an end-to-end MLOps project showcasing image classification deployed to AWS, covering the full ML pipeline from data scraping and ingestion to CI/CD deployment. It features experimentation tracking with MLFlow, data versioning with DVC for streamlined workflows, and efficient, reproducible model development.
Ratnesh-181998
Production-grade MLOps pipelines with real-world ML and NLP projects.Covers MLflow, DVC, Docker,Airflow,GitHub Actions, AWS SageMaker, HuggingFace, and monitoring with Grafana and PostgreSQL. Model development CI/CD pipelines,experiment tracking,data versioning,workflow orchestration,cloud deployment,and monitoring using modern MLOps tools and AWS.
Sreevarshan-fin
Bad Debt Prediction is an end-to-end ML system that identifies high-risk borrowers before approval using WoE-IV feature engineering and SMOTE-Tomek resampling. Models are evaluated using ROC-AUC, KS, and Gini, and deployed via Streamlit on AWS with MLflow tracking and PSI/CSI monitoring.
jishipp-repo
Deploying Models to Production with MLflow and Amazon Sagemaker
aliouarrirh
No description available
martinsincu
This repo show you how to prepare you Machine Learning model for production in AWS
hassanimtiaz158
This repository demonstrates an end-to-end MLOps workflow using MLflow, covering experiment tracking and model management across local and AWS environments. It showcases reproducible training, logging, and deployment-ready pipelines for real-world machine learning projects.
DASIREDDYCHAITANYA
No description available
ChanduKReddy99
No description available
Ousmane17374
No description available
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AbdullahTheScientist
No description available
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prashantsundge
No description available
Deployed credit card approval ML model on AWS using MLFLow
This repository is just for learning MLFlow, DVC and deployment AWS .For better accuracy you can increase the number of epochs. Have to terminate the session soon to be safe from bills :)