zenml-projects  by zenml-io

MLOps project examples using ZenML

created 3 years ago
269 stars

Top 96.2% on sourcepulse

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Project Summary

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

  • Install ZenML: Refer to ZenML installation docs.
  • System Requirements: Linux or macOS, Python >= 3.9.
  • Setup Time: Varies by project; requires ZenML installation and potentially specific library installations per project.

Highlighted Details

  • Diverse project examples: LLMOps (RAG, fine-tuning, LoRA), Computer Vision (object detection, image/video generation), and MLOps (deployment, CI/CD).
  • Integrations: Showcases use of Langchain, LlamaIndex, Hugging Face, PyTorch, Stable Diffusion, MLflow, Kubeflow, Databricks, and cloud platforms.
  • Community-driven: Encourages contributions and provides resources for help via Slack and GitHub issues.

Maintenance & Community

Health Check
Last commit

6 days ago

Responsiveness

1 day

Pull Requests (30d)
2
Issues (30d)
0
Star History
18 stars in the last 90 days

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