siftly-ai/airdot-deployer
Tool to take your ML model from local to production with one-line of code.
This tool helps data scientists and machine learning engineers take their trained machine learning models from a local environment (like a Jupyter Notebook) and make them accessible to users as a live web service. You provide your model's prediction function, and it outputs a deployable, monitored model ready for integration into applications. It's designed for anyone who needs to quickly get their ML models into production.
No commits in the last 6 months.
Use this if you are a data scientist or ML engineer who wants to rapidly deploy your machine learning models for others to use, without getting bogged down in complex server setup, API development, or containerization.
Not ideal if you need fine-grained, manual control over every aspect of your deployment infrastructure or if your models are not written in Python.
Stars
25
Forks
2
Language
Python
License
MIT
Category
Last pushed
Jan 19, 2024
Commits (30d)
0
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