YeonwooSung/MLOps
Miscellaneous codes and writings for MLOps
35
/ 100
Emerging
Provides hands-on implementations across the MLOps stack: serverless inference on AWS Lambda and SageMaker, distributed LLM fine-tuning with PEFT/QLoRA and FSDP, RAG pipelines, and model serving via Triton, Ray Serve, and FastAPI. Covers data versioning with DVC, Kubernetes orchestration, and LLM tooling including function calling and prompt engineering patterns. Includes practical examples for production deployments on AWS infrastructure and resource optimization guidance.
No Package
No Dependents
Maintenance
10 / 25
Adoption
6 / 25
Maturity
9 / 25
Community
10 / 25
Stars
15
Forks
2
Language
Jupyter Notebook
License
GPL-3.0
Category
Last pushed
Feb 28, 2026
Commits (30d)
0
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