MLOps project examples using ZenML
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This repository showcases production-grade MLOps workflows built with ZenML, targeting data scientists and ML engineers. It provides ready-to-adapt project templates across various domains like LLMOps, Computer Vision, and traditional MLOps, enabling faster adoption of robust ML pipelines.
How It Works
The projects leverage ZenML, an extensible, open-source MLOps framework, to define and orchestrate ML pipelines. ZenML's tool-agnostic and cloud-agnostic nature allows for flexible integration with popular libraries and platforms such as Hugging Face, PyTorch, Langchain, OpenAI, and cloud-specific services like SageMaker and Vertex AI. This approach facilitates the creation of production-ready, reproducible ML workflows.
Quick Start & Requirements
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Maintenance & Community
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