/mlops

MLOps Resources.

MIT LicenseMIT

MLOps Resources.

MLOps Technologies

Link Comments
Docker Containers: Virtualization To Deliver Software In Packages
Kubernetes Production-Grade Container Orchestration
KEDA Kubernetes Event-driven Autoscaling
kOps Kubernetes Operations
Kustomize Kubernetes Native Configuration Management
Skaffold Local Kubernetes Development
Helm The Package Manager for Kubernetes
Prometheus Monitoring and Alerting Toolkit
Grafana Query, Visualize, Alert On And Understand Your Metrics
Terraform Automate Infrastructure on Any Cloud
RabbitMQ Message Broker
Metabase Client Dashboarding
ElasticSearch Log management: ingest, analysis, and reporting
Logstash Dynamically ingest, transform, and ship data
Kibana Visualization tool for ELK
W&B Experiment Tracking, Dataset Versioning, and Model Management
MLFlow An open source platform for the ML lifecycle
Ray Unified Framework for Scaling AI and Python Applications
Jenkins Automation Server to Support Building, Deploying and Automating Any Project.
GitHub Actions Automate Software Workflow with CI/CD
DVC Version Control System for ML Projects
Pre-commit Managing and Maintaining Multi-Language Pre-commit Hooks.

MLOps Reading

Link Source Comments
MLOps: Overview, Definition, and Architecture arXiv
Demystifying MLOps: Selection of Open-Source Tools) MDPI Schemas
MLOps Guide mlops-guide
ApplyingML: Curated papers, articles, and blogs on ML in production applyingml.com
Monitoring ML Models in Production christophergs.com Andrew Ng
MLOps Problems and Best Practices neptune.ai
ML Experiment Tracking neptune.ai Andrew Ng
How to Set Up CI for ML with Github Actions and Neptune neptune.ai Guide
The Best MLOps Tools and How to Evaluate Them neptune.ai
ML in Production: Care About Data and Concept Drift Medium Andrew Ng
MLOps End-To-End ML Pipeline - CI/CD Medium
Understanding Kubernetes HPA with KEDA and RabbitMQ Medium
A Simple MLOps Pipeline on Your Local Machine Medium
Responsible ML with Error Analysis: ErrorAnalysis.ai microsoft.com Andrew Ng
MLOps: Continuous delivery and automation pipelines in ML cloud.google.com
Kubernetes Basics kubernetes.io
Orchestrating ML workflows with Airflow productboard.com
How to Autoscale Kubernetes Pods Based on GPU private-ai.com
DS x MLE Roles: How are they different? How are they alike? NuBank

MLOps Watching

Link Source Comments
A Chat with Andrew Ng on MLOps: From Model-centric to Data-centric AI YouTube Andrew Ng
A Practical Guide to MLOps DataCamp Noah Gift
MLOps Masterclass: Theory to DevOps to Cloud-native to AutoML YouTube Noah Gift
MLOps - Machine Learning Operations YouTube 16 videos

MLOps Coding Usefuls

Link Comments
List of Coding Best Practices Resources Internal file