DeepTab
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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...
Make fp32/64 optional for users Precision for A100 problematic with fixed fp32
- Implement (Bayesion) Hyperparameter Optimization for users
- get all relevant tabular datasets for comparisons - implement logic on how to store those datasets
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),...
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...
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