Popular GitHub Repositories for Tabular

Fast and Accurate ML in 3 Lines of Code

Evidently is ??an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

? TabPFN: Foundation Model for Tabular Data ?

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

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

Synthetic data generation for tabular data

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

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！

Automatic architecture search and hyperparameter optimization for PyTorch

Algorithms for outlier, adversarial and drift detection

SDG is a specialized framework designed to generate high-quality structured tabular data.

AI code-writing assistant that understands data content

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

Synthetic data generators for tabular and time-series data

A standard framework for modelling Deep Learning Models for tabular data

Conditional GAN for generating synthetic tabular data.

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

Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.