- Add interface to scikit regressors (#85)
- Add interface to HDF5 to store the training results (#88)
- Add interface to GPyTorch (#90)
- Fix prediction functionality (#81)
- Return predicted and expected values scaled back (#90)
- Fix graph neural network implementation (#59)
- Rename the graph neural network to MPNN (message passing NN)
- Interface to se3-transformer (#57)
- Calculate a guess to the molecular coordinates using a force field optimization
- Add bond distance as feature for the GNN using the optimized geometries (#59)
- Add early stopping functionality
- Removed duplicate CAT functionality (#36)
- Moved the properties computation and filtering to its own repo(#44, #45)
- Introduce Pipeline to filter ligands (#13, #26)
- Use SCScore
- Use Horovod to distribute the training
- Add mypy test
- Allow to train in GPU.
- Use Pytorch-geometric to create molecular graph convolutional networks.