Metadata-Version: 2.1
Name: nasbench301
Version: 0.2
Summary: A surrogate benchmark for neural architecture search
Home-page: https://github.com/automl/nasbench301
Author: AutoML Freiburg
Author-email: zimmerl@informatik.uni-freiburg.de
License: 3-clause BSD
Description: # NAS-Bench-301
        
        This repository containts code for the paper: ["NAS-Bench-301 and the Case for Surrogate Benchmarks for Neural Architecture Search"](https://arxiv.org/abs/2008.09777).
        
        The surrogate models can be downloaded on figshare. This includes the models for [v0.9](https://figshare.com/articles/software/nasbench301_models_v0_9_zip/12962432) and [v1.0](https://figshare.com/articles/software/nasbench301_models_v1_0_zip/13061510).
        
        To install all requirements (this may take a few minutes), run
        
        ```sh
        $ cat requirements.txt | xargs -n 1 -L 1 pip install
        $ pip install nasbench301
        ```
        
        To run a quick example, adapt the model paths in 'nasbench301/example.py' and from the base directory run
        
        ```sh
        $ export PYTHONPATH=$PWD
        $ python3 nasbench301/example.py
        ```
        
        ## NOTE: This codebase is still subject to changes. Upcoming updates include improved versions of the surrogate models and code for all experiments from the paper. The API may still be subject to changes.
        
Keywords: machine learningoptimization tuning neural architecture deep learning
Platform: Linux
Classifier: Development Status :: 3 - Alpha
Classifier: Topic :: Utilities
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: BSD License
Requires-Python: >=3
Description-Content-Type: text/markdown
