Gaussian Time Series model and MLOps pipeline using the AWS to deploy the model in a production environment.
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Updated
Dec 9, 2023 - Jupyter Notebook
Gaussian Time Series model and MLOps pipeline using the AWS to deploy the model in a production environment.
Small test to see how MLFLOW relates to experiment tracking with Streamlit
🦾 Accelerate ML Training and Experimentation in VSCode
Coretex extension for VS Code, facilitating easier dev workflow by automating MLOps directly in your favorite IDE.
This project aims to train the YOLOv7 object detection model on a custom dataset comprising diverse aquarium images containing fish and aquatic creatures.
Documents Participation in the MLOps ZoomCamp by Datatalks Club, showcasing various MLOps practices: Experiment Tracking, Orchestration, Deployment, Monitoring, and Best Practices.
Want to develop ML using vscode remote dev on a powerful GPU cluster running k8s? Then this repo is for you!
Some examples of running R in a Docker container with machine learning and MLOps features
This is a simple webapp for wine quality prediction and involves MLOPs including DVC for model and data tracking and Github actions for CI-Cd workflows. The app is deployed on Heroku.
This is the repository of my study in MLOps Zoomcamp from DataTalksClub.
This repository demonstrates how to set up automated model training workflows triggered by AWS S3 using Kestra. When new customer interaction data is added to S3, the system retrains recommendation models to enhance personalization. Configuring environment variables with GitHub and AWS credentials.
interactive coding environment for microservices demo
Project Includes python script (which runs in an MLOps environment) with the task of auto training Models until a desired accuracy is achieved.
Example end-to-end ml pipeline build with the Sagemaker Python SDK
Receipes of publicly-available Jupyter images
Reference code base for ML Engineering in Action, Manning Publications Author: Ben Wilson
🍪 Cookiecutter template for MLOps Project. Based on: https://mlops-guide.github.io/
Example project with a complete MLOps cycle: versioning data, generating reports on pull requests and deploying the model on releases with DVC and CML using Github Actions and IBM Watson. Part of the Engineering Final Project @ Insper
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