Fixed issue with duplicates + Experiments now rely on predefined datasets + Added experiments on simple embeddings 251060c ribesstefano commited on Jul 31
Fixed bug in hparam tuning for XGBoost + added additional metrics to XGBoost reports 1e811f2 ribesstefano commited on Jul 31
Added experimental results on simple embeddings (one-hot cells and amino acid counts) 14c7b13 ribesstefano commited on Jul 26
Implemented cell lines one-hot and amino acid sequence count experiments ccc40da ribesstefano commited on Jul 25
Fixed XGBoost prediction and added initial comparison of DNN and XGBoost distributions 7839344 ribesstefano commited on Jul 17
Started renaming splits. Added datasets in paper as separate CSV. ed339ed ribesstefano commited on Jul 16
Added notebook on cell embeddings generation + Added XGBoost reports 8315295 ribesstefano commited on May 29
Added XGBoost Optuna training + Added Ablation studies with zeroed input vectors 33f1644 ribesstefano commited on May 29
Added ablation study with randomly sampled vectors + Started working on LightningDataModule wrapper 4e1d3f6 ribesstefano commited on May 2
Added softmax in model + Fixed and updated some hparams + Fixed bug in tanimoto distance (it was treated as similarity) bda3015 ribesstefano commited on Apr 29
Working loading and predicting with pretrained model + Added scaling in "pure" pytorch during forwarding 15216c3 ribesstefano commited on Apr 25
Refactored experiments + fixed bug in dataset when applying scaling to val and test sets 6a5a99e ribesstefano commited on Apr 23
Updated protac dataset to handle missing values in embedding dictionaries 4d17fea ribesstefano commited on Apr 23
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