pytorch-widedeep
pytorch-widedeep: A flexible package for multimodal deep learning - Published in JOSS (2023)
flaml
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
autopytorch
Automatic architecture search and hyperparameter optimization for PyTorch
dataset-phenotypes
Preparatory scripts for BIDS tabular phenotypic data in large neuroimaging datasets.
caspr
CASPR is a deep learning framework applying transformer architecture to learn and predict from tabular data at scale.
taulu
Taulu is a Python package designed to segment tabular data in scanned or photographed documents.
folktexts
Evaluate uncertainty, calibration, accuracy, and fairness of LLMs on real-world survey data!
dpl
[NeurIPS 2023] Multi-fidelity hyperparameter optimization with deep power laws that achieves state-of-the-art results across diverse benchmarks.
talent
A comprehensive toolkit and benchmark for tabular data learning, featuring 30+ deep methods, more than 10 classical methods, and 300 diverse tabular datasets.
ts3l
A PyTorch Lightning-based library for self- and semi-supervised learning on tabular data.