automl / automl/NASLib

Search algorithms for zero-shot NAS

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Dominant language
Python
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Forks
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Description

Hi,

Are there any plans to add and make a centralized api for differed zeroshot searching algorithms?
For example, "random search" from NAs w/o training paper; "prune-based search" from TE-NAS paper; "genetic search" from Zen-NAS; "reinforce" and etc.

Contributor guide

Open the contributing guide

Research direction

The issue does not name specific files, tests, or entry points. Start by reviewing how NASLib currently represents search spaces and optimizers, then clarify the desired centralized interface and supported algorithms, including random, prune-based, genetic, and reinforcement search. Done would mean an agreed API and implementation scope for the requested zero-shot search methods.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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