iicd/autodl-projects
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

update README

Browse Source
This commit is contained in:
D-X-Y
2020-01-15 02:00:11 +11:00
parent 91177becd6
commit 4be2a0000c
1 changed files with 3 additions and 4 deletions
Download Patch File Download Diff File Expand all files Collapse all files

7
README.md
View File

@@ -1,18 +1,17 @@
# Automated Deep Learning (AutoDL) # Automated Deep Learning (AutoDL)
--------- ---------
[![MIT licensed](https://img.shields.io/badge/license-MIT-brightgreen.svg)](LICENSE.md) [![MIT licensed](https://img.shields.io/badge/license-MIT-brightgreen.svg)](LICENSE.md)
Automated Deep Learning (AutoDL-Projects) is an open source, lightweight, but useful project for researchers. Automated Deep Learning (AutoDL-Projects) is an open source, lightweight, but useful project for researchers.
This project implemented several neural architecture search (NAS) and hyper-parameter optimization (HPO) algorithms. This project implemented several neural architecture search (NAS) and hyper-parameter optimization (HPO) algorithms.
## **Who should consider using AutoDL-Projects** **Who should consider using AutoDL-Projects**
- Beginners who want to **try different AutoDL algorithms** - Beginners who want to **try different AutoDL algorithms**
- Engineers who want to **try AutoDL** to investigate whether AutoDL works on your projects - Engineers who want to **try AutoDL** to investigate whether AutoDL works on your projects
- Researchers who want to **easily** implement and experiement **new** AutoDL algorithms. - Researchers who want to **easily** implement and experiement **new** AutoDL algorithms.
## **Why should we use AutoDL-Projects** **Why should we use AutoDL-Projects**
- Simple library dependencies - Simple library dependencies
- All algorithms are in the same codebase - All algorithms are in the same codebase
- Active maintenance - Active maintenance
@@ -40,7 +39,7 @@ At the moment, this project provides the following algorithms and scripts to run
<tr> <!-- (2-nd row) --> <tr> <!-- (2-nd row) -->
<td align="center" valign="middle"> DARTS </td> <td align="center" valign="middle"> DARTS </td>
<td align="center" valign="middle"> DARTS: Differentiable Architecture Search </td> <td align="center" valign="middle"> DARTS: Differentiable Architecture Search </td>
<td align="center" valign="middle"> <a href="https://github.com/D-X-Y/AutoDL-Projects/tree/master/docs/NAS-Bench-201.md">CVPR-2019-GDAS.md</a> </td> <td align="center" valign="middle"> <a href="https://github.com/D-X-Y/AutoDL-Projects/tree/master/docs/NAS-Bench-201.md">NAS-Bench-201.md</a> </td>
</tr> </tr>
<tr> <!-- (3-nd row) --> <tr> <!-- (3-nd row) -->
<td align="center" valign="middle"> GDAS </td> <td align="center" valign="middle"> GDAS </td>