How to use NB301?

Hello,

I was trying to use NasBenchmark301 based on the example notebook [here](https://github.com/automl/NASLib/blob/Develop/examples/predictors.md) there are lots of dependency incompatibilities with the NASLib.

It also requires [certain branch](https://github.com/automl/Auto-PyTorch/tree/nb301) of Auto-PyTorch and Auto-Pytorch also has incompatibility issues with the NASLib.

Following the another reference in the NASLib's readme I reached the [nas-bench-x11](https://github.com/automl/nas-bench-x11) repository and it has also some incompatibility issues.

My question is, what is the suggested and proper way to use NB301 benchmarks?

Based on that we are planning to develop a surrogate model for a task.

Thank you in advance,

Start with the examples/predictors.md example and the NASLib README references for NB301, then compare their dependency requirements with the nb301 branch of Auto-PyTorch and the nas-bench-x11 repository. Done means documenting a supported installation and usage path, or clearly identifying the incompatibilities that must be resolved for the NB301 example to run.

Written by the indexing model from the issue text.