#Tabular-data
Showing 60 of 83 repositories tagged #tabular-data, ranked by stars
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
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
⚡ TabPFN: Foundation Model for Tabular Data ⚡
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
A zero-config, fast and small (~3kB) virtual list (and grid) component for React, Vue, Solid and Svelte.
A desktop application for viewing and analyzing tabular data
We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts to initiate any meaningful PR on this repo and integrate as many LLM related technologies as possible. 我们打造了方便研究人员上手和使用大模型等微调平台，我们欢迎开源爱好者发起任何有意义的pr！
🍞🔡 The Powerful Component to Display and Edit Data. Experience the Ultimate Data Transformer!
Automatic architecture search and hyperparameter optimization for PyTorch
SDG is a specialized framework designed to generate high-quality structured tabular data.
AI code-writing assistant that understands data content
📺(tv) Tidy Viewer is a cross-platform CLI csv pretty printer that uses column styling to maximize viewer enjoyment.
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains
A unified framework for Deep Learning Models on tabular data
What's in your data? Extract schema, statistics and entities from datasets
eBay's TSV Utilities: Command line tools for large, tabular data files. Filtering, statistics, sampling, joins and more.
A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
TabICLv2: A state-of-the-art tabular foundation model
Research on Tabular Deep Learning: Papers & Packages
Implementation of TabTransformer, attention network for tabular data, in Pytorch
A common, beautiful interface to tabular data, no matter the format
DeepTables: Deep-learning Toolkit for Tabular data
A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.
A library to model multivariate data using copulas.
本项目旨在收集开源的表格智能任务数据集（比如表格问答、表格-文本生成等），将原始数据整理为指令微调格式的数据并微调LLM，进而增强LLM对于表格数据的理解，最终构建出专门面向表格智能任务的大型语言模型。
We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.
DeltaPy - Tabular Data Augmentation (by @firmai)
A roadmap for getting started with Machine Learning
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.
A Swift Data Table package, display grid-like data sets in a nicely formatted table for iOS. Subclassing UICollectionView that allows ordering, and searching with extensible options.
A Python toolkit for processing tabular data
Deep Learning ❤️ PyTorch
Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)
OpenML's Python API for a World of Data and More 💫
Community extensions for TabPFN - the foundation model for tabular data. Built with TabPFN! 🤗
Benchmarking synthetic data generation methods.
A TUI pager with advanced support for tabular data, inferring/swapping delimiters, and real-time event parsing.
⚡ Easy API access to the tabular foundation model TabPFN ⚡
NeurIPS'22 | TransTab: Learning Transferable Tabular Transformers Across Tables
A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)
30 Semi-Supervised Learning Algorithms
Tool for visual exploration of complex data.
Pretty console printing :clipboard: of tabular data in python :snake:
Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector
Web-based Dataflow Framework for Visual Data Exploration
Integrate image and tabular data for deep learning
Fast, minimal, and ergonomic zero-copy Apache Arrow tabular data implementation in Rust, with PyO3, Python bindings, shared-memory and low-latency SIMD for data-engineering and columnar workloads. Bridge to Polars and Arrow-rs over FFI effortlessly.
(ICLR 2025 Spotlight) TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks
[NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
TabSTAR: A Tabular Foundation Model for Tabular Data with Text Fields
DataFrame in Pharo - tabular data structures for data analysis
A tabular data visualization engine from your local to CI/CD pipeline
Automatic machine learning for tabular data. ⚡🔥⚡
⇔ IterTable is a Pythonic API for iterating through tabular data formats, including CSV, XLSX, XML, and JSON.
Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)