rtdl
tab-transformer-pytorch
Our great sponsors
| rtdl | tab-transformer-pytorch | |
|---|---|---|
| 5 | 1 | |
| 314 | 698 | |
| - | - | |
| 8.9 | 4.5 | |
| about 2 years ago | 5 months ago | |
| Python | Python | |
| MIT License | MIT License |
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.
rtdl
-
[Project] Improving deep learning for tabular data with numerical embeddings (FT-Transformer)
Found relevant code at https://github.com/yandex-research/rtdl + all code implementations here
- [P] pytorch-widedeep v1.0.9: the Perceiver and the FastFormer for tabular data are now available in the library
- [P] pytorch-widedeep model alert: SAINT and the FT-Transformer are now available in the library
- [R] Revisiting Deep Learning Models for Tabular Data
tab-transformer-pytorch
-
[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
What are some alternatives?
pytorch-widedeep - A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch
tabnet - PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
100DaysofMLCode - My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:
Multimodal-Toolkit - Multimodal model for text and tabular data with HuggingFace transformers as building block for text data
ArtLine - A Deep Learning based project for creating line art portraits.
routing-transformer - Fully featured implementation of Routing Transformer
best_AI_papers_2021 - A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.
Linear-Multihead-Attention - Reproducing the Linear Multihead Attention introduced in Linformer paper (Linformer: Self-Attention with Linear Complexity)
perceiver-pytorch - Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch
rtdl-num-embeddings - (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning
HTM-pytorch - Implementation of Hierarchical Transformer Memory (HTM) for Pytorch