tab-transformer-pytorch
Implementation of TabTransformer, attention network for tabular data, in Pytorch (by lucidrains)
tabnet
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf (by dreamquark-ai)
| tab-transformer-pytorch | tabnet | |
|---|---|---|
| 1 | 8 | |
| 892 | 2,724 | |
| 8.3% | 1.4% | |
| 4.3 | 0.0 | |
| about 1 month ago | 5 months ago | |
| Python | Python | |
| MIT License | MIT License |
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.
tab-transformer-pytorch
Posts with mentions or reviews of tab-transformer-pytorch.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-09-07.
-
[P] pytorch-widedeep v1.0.9: the Perceiver and the FastFormer for tabular data are now available in the library
Code for https://arxiv.org/abs/2012.06678 found: https://github.com/lucidrains/tab-transformer-pytorch
tabnet
Posts with mentions or reviews of tabnet.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-08-03.
-
Time series data into a CNN
There's architectures that operate on tabular data from a few years back now that uses CNN's and self attention. .look at tabnet for inspiration: https://github.com/dreamquark-ai/tabnet
- [P] Stable Diffusion in Tensorflow / Keras
- [D] Opinions about TabNet
- Deep Learning Models to do Regression on a Tabular Data
-
Tried so many different models but cant get good accuracy
I tried some other projects like [tabnet](https://github.com/dreamquark-ai/tabnet) they are also yielding *decent* results, but not more than 0.64.
- [P] pytorch-widedeep v1.0.9: the Perceiver and the FastFormer for tabular data are now available in the library
- [D] Why Neural Networks for tabular data are bad?
-
Feature Importance in Multiclass problems
Are you solving a tabular problem? If it is so, you can use TabNet to plot them. It also supports multiclass and multilabel.
What are some alternatives?
When comparing tab-transformer-pytorch and tabnet you can also consider the following projects:
rtdl - Research on Tabular Deep Learning (Python package & papers) [Moved to: https://github.com/Yura52/rtdl]
autogluon - Fast and Accurate ML in 3 Lines of Code
conformer - Implementation of the convolutional module from the Conformer paper, for use in Transformers
Super-SloMo - PyTorch implementation of Super SloMo by Jiang et al.
Multimodal-Toolkit - Multimodal model for text and tabular data with HuggingFace transformers as building block for text data
pytorch-widedeep - A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch