naswot/README.md
Elliot J. Crowley 5368686cb0
Update README.md
2021-05-11 11:51:48 +01:00

42 lines
1.3 KiB
Markdown

# Neural Architecture Search Without Training
:warning: Note: this repository has been updated to reflect the [second version](https://arxiv.org/abs/2006.04647) of the paper
For the [original version of the paper](https://arxiv.org/abs/2006.04647v1), refer to the tag [v1.0](https://github.com/BayesWatch/nas-without-training/releases/tag/v1.0).:warning:
## Usage
Create a conda environment using the env.yml file
```bash
conda env create -f env.yml
```
Activate the environment and follow the instructions to install
Install nasbench (see https://github.com/google-research/nasbench)
Download the NDS data from https://github.com/facebookresearch/nds and place the json files in naswot-codebase/nds_data/
Download the NASbench101 data (see https://github.com/google-research/nasbench)
Download the NASbench201 data (see https://github.com/D-X-Y/NAS-Bench-201)
Reproduce all of the results by running
```bash
./scorehook.sh
```
The code is licensed under the MIT licence.
## Citing us
If you use or build on our work, please consider citing us:
```bibtex
@inproceedings{mellor2021neural,
title={Neural Architecture Search without Training},
author={Joseph Mellor and Jack Turner and Amos Storkey and Elliot J. Crowley},
year={2021},
booktitle={International Conference on Machine Learning}
}
```