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# Contributing to NAS-Projects
# Contributing to AutoDL-Projects
:+1::tada: First off, thanks for taking the time to contribute! :tada::+1:
The following is a set of guidelines for contributing to NAS-Projects.
The following is a set of guidelines for contributing to AutoDL-Projects.
## Table Of Contents
@@ -15,11 +15,11 @@ The following is a set of guidelines for contributing to NAS-Projects.
### Reporting Bugs
This section guides you through submitting a bug report for NAS-Projects.
This section guides you through submitting a bug report for AutoDL-Projects.
Following these guidelines helps maintainers and the community understand your report :pencil:, reproduce the behavior :computer: :computer:, and find related reports :mag_right:.
When you are creating a bug report, please include as many details as possible.
Fill out [the required template](https://github.com/D-X-Y/NAS-Projects/blob/master/.github/ISSUE_TEMPLATE/bug-report.md). The information it asks for helps us resolve issues faster.
Fill out [the required template](https://github.com/D-X-Y/AutoDL-Projects/blob/master/.github/ISSUE_TEMPLATE/bug-report.md). The information it asks for helps us resolve issues faster.
> **Note:** If you find a **Closed** issue that seems like it is the same thing that you're experiencing, open a new issue and include a link to the original issue in the body of your new one.

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README.md
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<tr> <!-- (1-st row) -->
<td rowspan="6" align="center" valign="middle" halign="middle"> NAS </td>
<td align="center" valign="middle"> TAS </td>
<td align="center" valign="middle"> Network Pruning via Transformable Architecture Search </td>
<td align="center" valign="middle"> <a href="https://arxiv.org/abs/1905.09717">Network Pruning via Transformable Architecture Search</a> </td>
<td align="center" valign="middle"> <a href="https://github.com/D-X-Y/AutoDL-Projects/tree/master/docs/NIPS-2019-TAS.md">NIPS-2019-TAS.md</a> </td>
</tr>
<tr> <!-- (2-nd row) -->
<td align="center" valign="middle"> DARTS </td>
<td align="center" valign="middle"> DARTS: Differentiable Architecture Search </td>
<td align="center" valign="middle"> <a href="https://arxiv.org/abs/1806.09055">DARTS: Differentiable Architecture Search</a> </td>
<td align="center" valign="middle"> <a href="https://github.com/D-X-Y/AutoDL-Projects/tree/master/docs/ICLR-2019-DARTS.md">ICLR-2019-DARTS.md</a> </td>
</tr>
<tr> <!-- (3-nd row) -->
<td align="center" valign="middle"> GDAS </td>
<td align="center" valign="middle"> Searching for A Robust Neural Architecture in Four GPU Hours </td>
<td align="center" valign="middle"> <a href="https://arxiv.org/abs/1910.04465">Searching for A Robust Neural Architecture in Four GPU Hours</a> </td>
<td align="center" valign="middle"> <a href="https://github.com/D-X-Y/AutoDL-Projects/tree/master/docs/CVPR-2019-GDAS.md">CVPR-2019-GDAS.md</a> </td>
</tr>
<tr> <!-- (4-rd row) -->
<td align="center" valign="middle"> SETN </td>
<td align="center" valign="middle"> One-Shot Neural Architecture Search via Self-Evaluated Template Network </td>
<td align="center" valign="middle"> <a href="https://arxiv.org/abs/1910.05733">One-Shot Neural Architecture Search via Self-Evaluated Template Network</a> </td>
<td align="center" valign="middle"> <a href="https://github.com/D-X-Y/AutoDL-Projects/tree/master/docs/ICCV-2019-SETN.md">ICCV-2019-SETN.md</a> </td>
</tr>
<tr> <!-- (5-th row) -->
@@ -80,8 +80,8 @@ At the moment, this project provides the following algorithms and scripts to run
## History of this repo
At first, this repo is `GDAS`, which is used to reproduce results in Searching for A Robust Neural Architecture in Four GPU Hours.
After that, more functions and more NAS algorithms are continuely added in this repo. After it supports more than five algorithms, it is upgraded from `GDAS` to `NAS-Project`.
Now, since both HPO and NAS are supported in this repo, it is upgraded from `NAS-Project` to `AutoDL-Projects`.
After that, more functions and more NAS algorithms are continuely added in this repo. After it supports more than five algorithms, it is upgraded from `GDAS` to `NAS-Projects`.
Now, since both HPO and NAS are supported in this repo, it is upgraded from `NAS-Projects` to `AutoDL-Projects`.
## Requirements and Preparation
@@ -125,10 +125,10 @@ If you find that this project helps your research, please consider citing some o
}
```
## Related Projects
# Others
- [Awesome-NAS](https://github.com/D-X-Y/Awesome-NAS) : A curated list of neural architecture search and related resources.
- [AutoML Freiburg-Hannover](https://www.automl.org/) : A website maintained by Frank Hutter's team, containing many AutoML resources.
If you want to contribute to this repo, please see [CONTRIBUTING.md](.github/CONTRIBUTING.md).
Besides, please follow [CODE-OF-CONDUCT.md](.github/CODE-OF-CONDUCT.md).
# License
The entire codebase is under [MIT license](LICENSE.md)

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Note: please use `PyTorch >= 1.2.0` and `Python >= 3.6.0`.
Simply type `pip install nas-bench-201` to install our api.
You can simply type `pip install nas-bench-201` to install our api. Please see source codes of `nas-bench-201` module in [this repo](https://github.com/D-X-Y/NAS-Bench-201).
If you have any questions or issues, please post it at [here](https://github.com/D-X-Y/AutoDL-Projects/issues) or email me.