Archai
A Python library for fast, reproducible, and modular Neural Architecture Search (NAS) to generate efficient deep networks.
What is Archai?
Archai is a Python library from Microsoft Research that accelerates Neural Architecture Search (NAS) for deep learning. It provides a modular framework to automatically discover efficient neural network architectures by balancing objectives like performance, size, and latency. The tool is designed to make NAS research faster, reproducible, and more accessible.
Machine learning researchers and engineers working on automated model design, particularly those focused on optimizing neural networks for efficiency across NLP, vision, and other domains.
Developers choose Archai for its research-grade reproducibility, flexible modular components, and integrated support for multi-objective Pareto optimization, which simplifies the process of finding optimal architectures without sacrificing experimental rigor.
Overview
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
Use Cases
Best For
- Automating the discovery of efficient transformer architectures for NLP tasks
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