idun
Copyright 2026 Anton Shaniuk

Licensed under the Apache License, Version 2.0 (LICENSE).

The Metal GEMM kernel (idun/nn/kernels/metal/common.metal) is adapted from MLX's Steel GEMM
(https://github.com/ml-explore/mlx): its tile loader's thread layout and its fragment lane coordinates. MLX's copyright
and permission notice:

  MIT License

  Copyright © 2023 Apple Inc.

  Permission is hereby granted, free of charge, to any person obtaining a copy
  of this software and associated documentation files (the "Software"), to deal
  in the Software without restriction, including without limitation the rights
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  The above copyright notice and this permission notice shall be included in all
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  THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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  SOFTWARE.

idun_tabm implements TabM: Yury Gorishniy, Akim Kotelnikov and Artem Babenko, "TabM: Advancing Tabular Deep Learning
with Parameter-Efficient Ensembling", ICLR 2025, arXiv:2410.24210.

idun_realmlp implements RealMLP-TD: David Holzmüller, Léo Grinsztajn and Ingo Steinwart, "Better by Default: Strong
Pre-Tuned MLPs and Boosted Trees on Tabular Data", NeurIPS 2024, arXiv:2407.04491.

idun_gbm follows LightGBM's model: Guolin Ke et al., "LightGBM: A Highly Efficient Gradient Boosting Decision Tree",
NeurIPS 2017.
