A series of Terraform based recipes to provision popular MLOps stacks on the cloud.
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Updated
Jul 12, 2024 - HCL
A series of Terraform based recipes to provision popular MLOps stacks on the cloud.
🦋 A personal research and development (R&D) lab that facilitates the sharing of knowledge.
Deploy production-grade Metaflow cloud infrastructure on AWS
A cloud-agnostic ML Platform that will enable Data Scientists to run multiple experiments, perform hyper parameter optimization, evaluate results and serve models (batch/realtime) while still maintaining a uniform development UX across cloud environments
Tools and utilities for operating Metaflow in production
Simply Automate Monitoring Infrastructure with Terraform, Ansible, AWS EC2, Nginx, Prometheus, Grafana and Github Actions 😄
Terraform frame to deploy a MLOps plattform on AWS EKS using Airflow, MLflow, and Jupyterhub.
My Health App Infrastructure Repository
Serverless MLOps pipeline for multi-account deployment with Step Functions and Terraform
Deploy Machine Learning resources within AWS via Terraform for MLOps.
Kestra configuration for the CVops Research project, automating CV creation using CI/CD pipeline with Terraform, Docker, and Azure.
Basic usage scripts with terraform
Repository to showcase how to implement enterprise ready ML & AI use-cases on Azure.
🦾 Accelerate ML Training and Experimentation in VSCode
Setting up an MLOps pipeline using AWS services
Feast as a combinator.ml component
🐻❄️ Anymlops: A data science platform that literally works !
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