DS infrastructure using Metaflow + projects
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Updated
Jun 24, 2024 - Jupyter Notebook
DS infrastructure using Metaflow + projects
🎨 UI for monitoring your Metaflow executions!
🚀 Metadata tracking and UI service for Metaflow!
Get Yu-Gi-Oh! card recommendations by the magic of machine learning
Tools and utilities for operating Metaflow in production
Deploy production-grade Metaflow cloud infrastructure on AWS
MalaysianPayGap LLM using LocalGPT
Leverage Metaflow, PyTorch, AWS S3, Elasticsearch, FastAPI and Docker to create a production-ready facial recognition solution. It demonstrates the practical use of deep metric learning to recognize previously unseen faces without prior training.
Fully functional Metaflow metadata service, UI and datastore deployment with docker and docker-compose.
A recommender system for book recommendations developed within a production-ready workflow. This project utilizes Metaflow, AWS, and the Surprise library.
Joining the modern data stack with the modern ML stack
Using Metaflow for training a DL model with Tensorflow.
Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflow
Add a description, image, and links to the metaflow topic page so that developers can more easily learn about it.
To associate your repository with the metaflow topic, visit your repo's landing page and select "manage topics."