| --- |
| license: bsd-3-clause |
| library_name: tabicl |
| pipeline_tag: tabular-classification |
| tags: |
| - tabular-classification |
| - tabular-regression |
| - tabular-foundation-model |
| - tabular-classification |
| --- |
| |
| # 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} |
| } |
| ``` |
