tabular-learning

Tabular Deep Learning Library for PyTorch

Pytorch Library for Relational Table Learning with LLMs.

RelBench: Relational Deep Learning Benchmark

Official implementation of Tabular Transfer Learning via Prompting LLMs (COLM 2024).

Official repository for ICML2026 "TopBench: A Benchmark for Implicit Predictive Reasoning in Tabular Question Answering"

SJTUTables: A Benchmark for Relational Table Learning

TableDART: Dynamic Adaptive Multi-Modal Routing for Table Understanding. ICLR 2026.

Table Learning Structured Query Language

Morphometric classification of four INIAP dry bean cultivars using classical and deep tabular models, TabPFN, strict calibration, selective prediction and redundancy ablation.

Evidence-first research workspace: TabICL prior experiments and visual-brain representation reproduction audits

A spectral neuron in the form of a scikit-learn estimator.

Neural networks for tabular data with automatic preprocessing and a scikit-learn-style API.

Basline: hyunwoongko/kobart Finetuning: AI-Hub Dataset

Companion repo: interpretable multi-task cross-modal fusion for hierarchical policy-aware wind farm siting (China-scale)

Experimenting with reinforcement learning algorithms, from Q-learning to DQN and beyond.

SG-XDEAT: Sparsity-Guided Cross-Dimensional and Cross-Encoding Attention with Target-Aware Conditioning in Tabular Learning

XDEAT: Cross-Dimensional and Cross-Encoding Attention with Target-aware Conditioning in Tabular Learning