TabPack debuts: a competitive tabular baseline trainable on a MacBook, with PyTorch and sklearn APIs
RichmanRonald · x · 2026-10-30
The author announces two releases: TabPack, a practical baseline for medium-to-large tabular datasets that is competitive out of the box and trainable on a modern MacBook, and TabPackage, a Python library for training TabPack and building similar models, offering both a PyTorch API (tabpackage.train) and a scikit-learn API (TabPackClassifier).
Related event: Yandex Open-Sources TabPack, a Tabular Baseline Trainable on a MacBook(3 posts)→
More from Research
- Persimmon team reveals internal learning evals were cut from the blog — gharik · 2026-10-31
- kalomaze's LoRA finetuning curves show overfitting typically starts at 3 epochs — kalomaze · 2026-10-31
- Stanford study: walking boosts creative thinking scores in 81% of participants — beechinour · 2026-10-31
- New monograph argues 20-watt neuromorphic AI can complement power-hungry transformers — ziv_ravid · 2026-10-31
- Study: none of today's SOTA latent world models faithfully model environment dynamics — udmrzn · 2026-10-31
- Fused Zip-NeRF: CUDA rewrite trains 6-7x faster, renders 10x faster on a 5090 — jon_barron · 2026-10-31