yandex-research/rtdl
A Yandex Research collection of deep learning models and papers focused on tabular data, implemented in PyTorch.
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RTDL is a research repository containing deep learning models specifically designed for tabular data problems. It includes implementations of architectures like MLP, ResNet, FT-Transformer, and the newer TabM with parameter-efficient ensembling. The repository also publishes accompanying research papers with code, covering topics such as optimizer benchmarking, data uncertainty, and foundation model finetuning for tabular domains.
Frequently asked
- What is yandex-research/rtdl?
- A Yandex Research collection of deep learning models and papers focused on tabular data, implemented in PyTorch.
- Is rtdl open source?
- Yes — yandex-research/rtdl is open source, released under the Apache-2.0 license.
- What language is rtdl written in?
- yandex-research/rtdl is primarily written in Python.
- How popular is rtdl?
- yandex-research/rtdl has 1.2k stars on GitHub.
- Where can I find rtdl?
- yandex-research/rtdl is on GitHub at https://github.com/yandex-research/rtdl.