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A comprehensive toolkit and benchmark for tabular data learning, featuring 35+ deep methods, more than 10 classical methods, and 300 diverse tabular datasets.

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The implementation from yandex is wrong, and I have raised an issue to their repo. Please refer to it.

Hi @6sy666 šŸ¤— Niels here from the open-source team at Hugging Face. I discovered your work on Arxiv and was wondering whether you would like to submit it to [hf.co/papers](https://hf.co/papers)...

Hello, I’m using the following wrapper for models from your repository in my benchmark. When I compare the rankings on classification and regression datasets separately, I observe a significant drop...

Fitting a TabPFN results in the invocation of a validation function `_validate_data` for the `'TabPFNClassifier` class, which has no such method. Results in an exception. For reference, see [lib.pfn_v2.tabpfn.utils.py#L474](https://github.com/LAMDA-Tabular/TALENT/blob/main/TALENT/model/lib/pfn_v2/tabpfn/utils.py#L474)

Hi! Thank you for your work on this project — it has been incredibly valuable for research involving tabular models. I noticed that, currently, there doesn't appear to be native...