🦕 멸망하지 않게 조심해.
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Updated
Jan 17, 2026 - Swift
🦕 멸망하지 않게 조심해.
This repository contains some basic tabular algorithms and some environments to test them
Benchmarking Synthefy's Nori V1 tabular foundation model (in-context learning, zero training) against sklearn baselines
A reproducible, data-centric benchmarking framework evaluating the robustness of tabular machine learning models under systematic feature shift using OpenML-CC18 datasets and automated feature engineering.
Tabular sleep-stage classification ensemble optimized for macro-F1 with fold-safe validation.
Calibration gate for tabular classifiers (TabICL-first, model-agnostic, offline, CI-ready)
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