jomariya23156/full-stack-on-prem-cv-mlops
"1 config, 1 command from Jupyter Notebook to serve Millions of users", Full-stack On-Premises MLOps system for Computer Vision from Data versioning to Model monitoring and drift detection.
This system provides a complete environment for developing and deploying computer vision models, specifically for image classification. It takes your image datasets and model configurations to produce a production-ready model served to millions of users. It is designed for machine learning engineers and data scientists who manage the full lifecycle of computer vision projects.
No commits in the last 6 months.
Use this if you need an all-in-one, on-premises solution to manage, train, and deploy computer vision models at scale, from initial data versioning to continuous monitoring.
Not ideal if you primarily work with cloud-based MLOps platforms or are not comfortable managing your own infrastructure via Docker.
Stars
54
Forks
7
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Aug 12, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/mlops/jomariya23156/full-stack-on-prem-cv-mlops"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
apache/airflow
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
mlrun/mlrun
MLRun is an open source MLOps platform for quickly building and managing continuous ML...
clearml/clearml
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data...
argoproj-labs/hera
Hera makes Python code easy to orchestrate on Argo Workflows through native Python integrations....
argoproj/argo-workflows
Workflow Engine for Kubernetes