Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data

Personal website

An interactive environment for exploring, refining, and visualizing mathematical proofs with AI assistance.

xRFM: Accurate, scalable, and interpretable feature learning models for tabular data

Unofficial implementation of Tiny Recursive Model (TRM), improvement to HRM from Sapient AI, by Alexia Jolicoeur-Martineau

Fast and Accurate ML in 3 Lines of Code

scikit-learn: machine learning in Python

A comprehensive toolkit and benchmark for tabular data learning, featuring 30+ deep methods, more than 10 classical methods, and 300 diverse tabular datasets.

The Community Edition of the Neuralk Foundry platform

Benchmarking active learning on tabular datasets

a collection of Dataset from various sources

Our package scikit-activeml is a Python library for active learning on top of SciPy and scikit-learn.

SupplementaryMaterial for the anonymous NeurIPS 2021 submission 5254. "Muddling Label Regularization: Deep Learning for Tabular Datasets"

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

📚 Papers by organizations sharing their work on applied data science & machine learning.

📜 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

a distributed Hyperband implementation on Steroids

NeuroImaging with the Scikit-learn: fMRI inverse inference tutorial

matplotlib: plotting with Python