Data

Tools

Indexes

Applications

Experiments

Repos

An open API service providing repository metadata for many open source software ecosystems.

GitHub / jjguglielmi / How-Powerful-are-Skip-Connections-in-Neural-Architecture-Search-without-Training

In this repository, you'll find the application of NAS algorithm on NATS-Bench together with some variations to have better result.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jjguglielmi%2FHow-Powerful-are-Skip-Connections-in-Neural-Architecture-Search-without-Training

Stars: 0
Forks: 0
Open issues: 0

License: mit
Language: Jupyter Notebook
Size: 3.37 MB
Dependencies parsed at: Pending

Created at: almost 3 years ago
Updated at: almost 3 years ago
Pushed at: over 2 years ago
Last synced at: about 2 years ago

Topics: nats-bench, neural-architecture-search, neural-networks, regularized-evolution, zero-cost-proxies

    Loading...