React components for efficiently rendering large lists and tabular 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 🚀

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

AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data

A desktop application for viewing and analyzing tabular data

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

🍞🔡 The Powerful Component to Display and Edit Data. Experience the Ultimate Data Transformer!

PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

Automatic architecture search and hyperparameter optimization for PyTorch

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. Meanwhile, we created a new branch to build a Tabular LLM.（我们分别统一了丰富的IFT数据（如CoT数据，目前仍不断扩充）、多种训练效率方法（如lora，p-tuning）以及多种LLMs，三个层面上的接口，打造方便研究人员上手的LLM-IFT研究平台。同时tabular_llm分支构建了面向表格智能任务的LLM。

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.

Algorithms for outlier, adversarial and drift detection

Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains

In-memory tabular data in Julia

eBay's TSV Utilities: Command line tools for large, tabular data files. Filtering, statistics, sampling, joins and more.

What's in your data? Extract schema, statistics and entities from datasets

ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch