Statements (50)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:software
|
| gptkbp:author |
gptkb:Manuj_Aggarwal
|
| gptkbp:availableOn |
gptkb:GitHub
gptkb:PyPI |
| gptkbp:built |
gptkb:PyTorch
|
| gptkbp:designedFor |
tabular data
|
| gptkbp:documentation |
https://pytorch-tabular.readthedocs.io/
|
| gptkbp:firstReleased |
2020
|
| https://www.w3.org/2000/01/rdf-schema#label |
PyTorch Tabular
|
| gptkbp:integratesWith |
gptkb:TensorBoard
gptkb:PyTorch_Lightning gptkb:NumPy gptkb:pandas gptkb:scikit-learn gptkb:Optuna |
| gptkbp:license |
gptkb:Apache_License_2.0
|
| gptkbp:provides |
gptkb:REST_API
gptkb:graphical_user_interface gptkb:data_visualization logging feature importance model interpretability callbacks experiment tracking custom model support data loaders preprocessing utilities test loop training loop validation loop |
| gptkbp:repository |
https://github.com/manujosephv/pytorch_tabular
|
| gptkbp:supports |
gptkb:dictionary
deep learning neural networks regression early stopping feature engineering missing value handling hyperparameter optimization categorical embeddings continuous features model ensembling multi-label classification multi-target regression |
| gptkbp:usedFor |
gptkb:machine_learning
data science automated machine learning |
| gptkbp:writtenBy |
gptkb:Python
|
| gptkbp:bfsParent |
gptkb:Meta_AI
|
| gptkbp:bfsLayer |
5
|