A framework for attentive explainable deep learning on tabular data

Marnix Koops

Last update: Nov 6, 2021

Related tags

Deep Learning kendrite

Overview

🧠 kendrite

A framework for attentive explainable deep learning on tabular data

💨 Quick start

kedro run

🧱 Built upon

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]`	Package for distributed hyper-parameter tuning.	github docs

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Comments

hyperparam tuning with ray
adds hyperparameter tuning with Ray

Hyperparameter tuning

kedro run --pipeline tune_and_train

Visualize results on tensorboard

tensorboard --logdir data/07_model_output/ray_tune_results/
opened by juan-carlos-calvo 0

Owner

Marnix Koops

GitHub

A standard framework for modelling Deep Learning Models for tabular data

PyTorch Tabular aims to make Deep Learning with Tabular data easy and accessible to real-world cases and research alike.

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Research on Tabular Deep Learning (Python package & papers)

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A framework for attentive explainable deep learning on tabular data

Related tags

Overview

🧠 kendrite

💨 Quick start

🧱 Built upon

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Comments

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Owner

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