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DeepTab is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and distributional regression tasks. It includes models such as Mambula...

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- Include stat. basis expansion functions for num preprocessing

enhancement

Make fp32/64 optional for users Precision for A100 problematic with fixed fp32

bug

- Implement (Bayesion) Hyperparameter Optimization for users

enhancement

- Write unittests that cover all possibilities and edge cases

enhancement

See whether inclusion of SAINT in its current form is reasonable

enhancement

include NODE architecture

enhancement

- get all relevant tabular datasets for comparisons - implement logic on how to store those datasets

enhancement

Hello, author! I used your example_classification.py and got the following error: Feature: feature_0 (imputer -> normalizer -> ple), Encoded feature dimension: 50 -------------------------------------------------- Feature: feature_1 (imputer -> normalizer -> ple),...

question

Hello AnFreTh, Thank you for your work on this project. I am currently using Mambular to process tabular data, but I am experiencing very slow training speeds. On average, each...

bug
question

There is few optimizers which can show better generalization and training time: AdEMAMix and AdEMAMixShampoo It can be included in repo or add some interface to change optimizer by yourself

enhancement