A comprehensive benchmark to bridge the "evaluation realism gap" in environmental molecular machine learning.
Analyze performance gaps between random & scaffold splits.
Access 45 standardized datasets for environmental tasks.
Follow step-by-step guides to build your first model.
Deep dive into architectures and featurization.