|
|
--- |
|
|
license: bsd-3-clause |
|
|
library_name: tabicl |
|
|
pipeline_tag: tabular-classification |
|
|
tags: |
|
|
- tabular-classification |
|
|
- tabular-regression |
|
|
- tabular-foundation-model |
|
|
--- |
|
|
|
|
|
# TabICLv2: A better, faster, scalable, and open tabular foundation model |
|
|
|
|
|
## Installation |
|
|
```bash |
|
|
pip install tabicl |
|
|
``` |
|
|
|
|
|
The source code is available at [GitHub - soda-inria/tabicl](https://github.com/soda-inria/tabicl). |
|
|
|
|
|
## Citation |
|
|
If you use TabICL for research purposes, please cite our papers for **[TabICL](https://arxiv.org/abs/2502.05564)** and **[TabICLv2](https://arxiv.org/abs/2602.11139)**: |
|
|
```bibtex |
|
|
@inproceedings{qu2025tabicl, |
|
|
title={Tab{ICL}: {A} Tabular Foundation Model for In-Context Learning on Large Data}, |
|
|
author={Qu, Jingang and Holzm{\"u}ller, David and Varoquaux, Ga{\"e}l and Le Morvan, Marine}, |
|
|
booktitle={International Conference on Machine Learning}, |
|
|
year={2025} |
|
|
} |
|
|
|
|
|
@article{qu2026tabiclv2, |
|
|
title={{TabICLv2}: {A} better, faster, scalable, and open tabular foundation model}, |
|
|
author={Qu, Jingang and Holzm{\"u}ller, David and Varoquaux, Ga{\"e}l and Le Morvan, Marine}, |
|
|
journal={arXiv preprint arXiv:2602.11139}, |
|
|
year={2026} |
|
|
} |
|
|
``` |
