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URL: https://github.com/topics/ft-transformer

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ft-transformer

Here are 5 public repositories matching this topic...

OpenTabular / DeepTab

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 Mambular, TabM, FT-Transformer, TabulaRNN, TabTransformer, and tabular ResNets.

node regression classification rnn resnet deeplearning preprocessing ssm mamba tabular saint state-space-models ple distributional-regression tabtransformer ft-transformer piecewise-linear-encoding tabular-learning tabular-deep-learning tabm

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Python

ndtands / TabularDataProblem

Classification in TabularDataset

machine-learning deep-learning transformer classification ensemble-learning gradientboosting catboost explainable-ai adaboost-algorithm ensem tabtransformer ft-transformer periodic-embeddings piecewise-linear-encoding

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Jupyter Notebook

rubenpjove / tabularT-OS-fingerprinting

This repository employs two different architectures of Tabular Transformer models for Operating System fingerprinting from three different datasets.

machine-learning deep-learning detection operating-system transformer cybersecurity identification fingerprinting operating-system-detection transformer-architecture tabtransformer ft-transformer transformer-model

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Jupyter Notebook

zypl-ai / stabilization_uplift

Stabilization of classification ML-models using synthetic data with outliers on Open Data.

benchmarking metrics xgboost outliers lightgbm stability binary-classification lending-club robustness synthetic-data catboost tabnet ngboost ft-transformer tabpfn outlier-generation hgboost

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Jupyter Notebook

linsu07 / Tabular_deliverytime

Tabular Data Processing lightgbm, tabnet, resnet

tabular-data lightgbm resnet tabnet ft-transformer

Updated
Jupyter Notebook

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