PyTorch implementation of the FT-Transformer (Gorishniy et al., 2021) for tabular regression — benchmarked against classical baselines on California Housing, with ablation studies, Optuna tuning, 98% test coverage, and CI/CD.
deep-learning tabular-data regression pytorch transformer self-attention pytorch-implementation self-attention-implementation tabular-deep-learning feature-tokenizer
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Updated
Aug 13, 2026 - Python