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PROTAC-Degradation-Predictor
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PROTAC-Degradation-Predictor
/
protac_degradation_predictor
2 contributors
History:
36 commits
ribesstefano
Fixed issue with duplicates + Experiments now rely on predefined datasets + Added experiments on simple embeddings
251060c
7 months ago
data
started testing package code
10 months ago
models
Fixed some tests and added XGBoost to the API
7 months ago
__init__.py
Safe
709 Bytes
Added support for listing available dataset data
9 months ago
config.py
Safe
1.15 kB
Added FP search + Added train metrics to logs
10 months ago
data_utils.py
Safe
4.4 kB
Added support for listing available dataset data
9 months ago
optuna_utils.py
21.6 kB
Fixed issue with duplicates + Experiments now rely on predefined datasets + Added experiments on simple embeddings
7 months ago
optuna_utils_xgboost.py
13.3 kB
Fixed bug in hparam tuning for XGBoost + added additional metrics to XGBoost reports
7 months ago
protac_dataset.py
Safe
29.4 kB
Fixed issue with duplicates + Experiments now rely on predefined datasets + Added experiments on simple embeddings
7 months ago
protac_degradation_predictor.py
6.69 kB
Fixed XGBoost prediction and added initial comparison of DNN and XGBoost distributions
7 months ago
pytorch_models.py
26.7 kB
Fixed issue with duplicates + Experiments now rely on predefined datasets + Added experiments on simple embeddings
7 months ago
sklearn_models.py
Safe
7.81 kB
started testing package code
10 months ago