tabular-dl-tabr
The implementation of "TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning" (by yandex-research)
autogluon
AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data [Moved to: https://github.com/autogluon/autogluon] (by awslabs)
tabular-dl-tabr | autogluon | |
---|---|---|
3 | 19 | |
219 | 5,088 | |
6.4% | - | |
4.2 | 9.9 | |
3 months ago | over 1 year ago | |
Python | Python | |
MIT License | 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.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
tabular-dl-tabr
Posts with mentions or reviews of tabular-dl-tabr.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-07-28.
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 tabular-dl-tabr and autogluon you can also consider the following projects:
lightning-flash - Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains
mljar-supervised - Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation