Milano
What it is
Milano is a Python-based tool for automating hyperparameter and architecture search for machine learning models. It integrates with cloud and cluster backends like AWS, SLURM, and Azkaban to execute massive parallel searches using any ML framework.
The problem it solves
Manual hyperparameter tuning is time-consuming and inefficient; Milano automates this process by orchestrating parallel experiments on scalable backends.
What you could use it for
- Performing large-scale hyperparameter tuning on AWS GPU instances
- Benchmarking Auto-ML algorithms on a local multi-GPU machine
- Running architecture search on a SLURM cluster
Read the source ↗Back to the library →
Summary written by an AI model from the source; check the source before you rely on it.