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@ -8,14 +8,14 @@ This project implemented several neural architecture search (NAS) and hyper-para
## **Who should consider using AutoDL-Projects** ## **Who should consider using AutoDL-Projects**
- Beginner who want to **try different AutoDL algorithms** for study - Beginners who want to **try different AutoDL algorithms**
- Engineer 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**
- Simplest library dependencies: each examlpe is purely relied on PyTorch or Tensorflow (except for some basic libraries in Anaconda) - Simple library dependencies
- All algorithms are in the same codebase. If you implement new algorithms, it is easy to fairly compare with many other baselines. - All algorithms are in the same codebase
- I will actively support this project, because all my furture AutoDL research will be built upon this project. - Active maintenance
## AutoDL-Projects Capabilities ## AutoDL-Projects Capabilities