A powerful and flexible machine learning platform for drug discovery
Role in this project:
ML Engineer Contributions:19 commits, 3 PRs, 16 pushes in 1 year 3 months
Contributions summary:Zuobai primarily contributed to bug fixes and improvements within the `torchdrug` repository, focusing on the core deep learning functionalities. Their work involved addressing errors related to data handling, specifically in `dataset.py` and the loading of specific datasets like ZINC2m and ChEMBL. They also made improvements to existing models (SchNet) including adding test code, as well as adding support and classes for protein datasets, indicating a focus on model development and model integration with other modules.
machine-learningpytorchdeep-learninggraph-neural-networksdrug-discovery
Contributions:8 pushes, 1 branch in 5 years 8 months