rllm-team/rllm

RelBench: Relational Deep Learning Benchmark

Foundation Models for Structured Data

(ICLR 2025) TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling

⚡ TabPFN: Foundation Model for Tabular Data ⚡

Build data processing and data analysis pipelines that leverage the power of LLMs 🧠

A unified framework for Deep Learning Models on tabular data

SkyRL: A Modular Full-stack RL Library for LLMs

DeepTab is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and distributional regression tasks. It includes models such as Mambular, TabM, FT-Transformer, TabulaRNN, TabTransformer, and tabular ResNets.

LimiX: Unleashing Structured-Data Modeling Capability for Generalist Intelligence https://arxiv.org/abs/2609.17488