A framework for attentive explainable deep learning on tabular data

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Deep Learningkendrite
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
Owner
Marnix Koops
Marnix Koops
GitHub Repository
[NeurIPS-2021] Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation

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Mind the Trade-off: Debiasing NLU Models without Degrading the In-distribution Performance

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Codebase for arXiv preprint "NeRF++: Analyzing and Improving Neural Radiance Fields"

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Quickly and easily create / train a custom DeepDream model

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Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution

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Python Rapid Artificial Intelligence Ab Initio Molecular Dynamics

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Towards Long-Form Video Understanding

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PrimitiveNet: Primitive Instance Segmentation with Local Primitive Embedding under Adversarial Metric (ICCV 2021)

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