MalDataGen is an advanced Python framework for generating and evaluating synthetic tabular datasets using modern generative models, including diffusion and adversarial architectures.
tvae 开源项目推荐(10 个)
tvae 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 全部 10
GitHub 共 10 个仓库,已全部展示The following repository contains the online appendix for the paper "Generative AI for Banks: Benchmarks and Algorithms for Synthetic Financial Transaction Data". It not only provides the python code for all experiments conducted but also background information for the literature review.
SyntheticOcean:用于生成合成表格数据的开源库 + SynDataGen(合成数据生成框架)
Sintetizador de Datos para generar datos sintéticos tabulares a partir de un CSV.
Reproducible entity-resolution pipeline for duplicate detection in TED procurement records and synthetic-data audit
Generalized Automatic Pipeline for inspecting and fixing uncertainties in your data
🚀 Synthetic Data Generation for Dielectric Characterization using Machine Learning | TVAE & CTGAN for Data Augmentation in Sensor Applications
Using a Tabular Foundation Model (TabPFN) to get usable predictions from a very small physical experiment dataset.
Source code for the BRACIS 2026 project: [ From Bias to Fairness: Can Synthetic Data Bridge the Gap in Tabular Machine Learning? ]
Streamlining the process to generate synthetic data. Just focus on the data, not the code!
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 10 个项目;原始页面见 https://github.com/topics/tvae。
- 该话题在 GitHub 上共有 10 个仓库, 本站收录的是其中最热门的 10 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 10 个项目累计 55 Star,覆盖 2 种主要语言,数据更新于 2026-11-13。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。