saint VS autogluon

Compare saint vs autogluon and see what are their differences.

saint

The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training (by somepago)
Deep Learning tabular-data Transformer
Source Code
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autogluon

AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data [Moved to: https://github.com/autogluon/autogluon] (by awslabs)
Automl Machine Learning Data Science Deep Learning ensemble-learning image-classification Computer Vision Natural Language Processing structured-data object-detection Gluon transfer-learning Pytorch automated-machine-learning scikit-learn autogluon tabular-data hyperparameter-optimization time-series

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saint autogluon
1 19
366 5,088
- -
1.8 9.9
over 2 years ago over 1 year ago
Python Python
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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saint

Posts with mentions or reviews of saint. We have used some of these posts to build our list of alternatives and similar projects.
  • [D] Tabular Data: Deep Learning is Not All You Need
    1 project | /r/MachineLearning | 16 Jun 2021
    SAINT paper emerges new, claiming that they have SOTA results than benchmarks, however, after only 2-3 weeks, people say that with fine tuning(not even feature engineering) they can have better results than proposed paper https://github.com/somepago/saint/issues/1 , on exactly same problems on paper.

autogluon

Posts with mentions or reviews of autogluon. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing saint and autogluon you can also consider the following projects:

trax - Trax — Deep Learning with Clear Code and Speed

mljar-supervised - Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

mmocr - OpenMMLab Text Detection, Recognition and Understanding Toolbox

carefree-learn - Deep Learning ❤️ PyTorch

pytorch-widedeep - A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch

Auto-PyTorch - Automatic architecture search and hyperparameter optimization for PyTorch

NaiveNASlib.jl - Relentless mutation!!

DFSpot-Deepfake-Recognition - Determine whether a given video sequence has been manipulated or synthetically generated

featuretools - An open source python library for automated feature engineering

DeepCriticalLearning - Deep Critical Learning. Implementation of ProSelfLC, IMAE, DM, etc.

Time-Series-Library - A Library for Advanced Deep Time Series Models.

tabular-dl-tabr - The implementation of "TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning"

saint vs trax autogluon vs mljar-supervised saint vs mmocr autogluon vs carefree-learn saint vs pytorch-widedeep autogluon vs Auto-PyTorch autogluon vs NaiveNASlib.jl autogluon vs DFSpot-Deepfake-Recognition autogluon vs featuretools autogluon vs DeepCriticalLearning autogluon vs Time-Series-Library autogluon vs tabular-dl-tabr