Tabular Data Models
收藏arXiv2025-09-30 收录
下载链接：
https://github.com/Diffusion-Model-Leiden/awesome-diffusion-models-for-tabular-data
下载链接
链接失效反馈官方服务：
资源简介：
该数据集涵盖了多种生成模型和方法，用于表格数据的合成，其中包括基于变分自编码器（VAEs）、生成对抗网络（GANs）和扩散模型的技术。此外，数据集还包含了诸如Copulas、高斯混合模型等在内的多种生成方法。该数据集涉及了多个引用的数据集，但未提供具体的规模信息。其任务主要针对表格数据集的数据合成和填充。
This dataset covers a variety of generative models and methods for tabular data synthesis, including techniques based on Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), and diffusion models. Additionally, it encompasses multiple generative approaches such as Copulas and Gaussian Mixture Models. This dataset involves multiple cited datasets, but no specific scale information is provided. Its primary tasks focus on tabular data synthesis and data imputation.
提供机构：
Various sources referenced in the literature
