A Kedro framework for attentive explainable deep learning on tabular data
kedro run| Technology | Description | Links |
|---|---|---|
kedro |
Python framework for creating reproducible, maintainable and modular machine learning pipelines | github docs |
tabnet |
Interpretable pytorch deep learning architecture for modeling tabular data |
arxiv github |
mlflow |
Platform to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry | github docs |
ray[tune] |
A scalable hyperparameter tuning library | github docs |