React components for efficiently rendering large lists and tabular data
Fast and Accurate ML in 3 Lines of Code
Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON
A terminal spreadsheet multitool for discovering and arranging data
β‘ TabPFN: Foundation Model for Tabular Data β‘
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
A zero-config, fast and small virtual list, grid and masonry component for React, Vue, Solid, Svelte and Angular.
SDG is a specialized framework designed to generate high-quality structured tabular data.
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
In-memory tabular data in Julia
A unified framework for Deep Learning Models on tabular data
Conditional GAN for generating synthetic tabular data.
TabICLv2: An open tabular foundation model
A common, beautiful interface to tabular data, no matter the format
A comprehensive toolkit and benchmark for tabular data learning, featuring 35+ deep methods, more than 10 classical methods, and 300 diverse tabular datasets.
A library to model multivariate data using copulas.
Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.
Revisiting Tabular Deep Regression Paper Code