Generating Tabular Synthetic Data using State of the Art GAN architecture
☆81Apr 29, 2020Updated 6 years ago
Alternatives and similar repositories for Generating-Synthetic-Data-using-GANs
Users that are interested in Generating-Synthetic-Data-using-GANs are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Repository for the results of my master thesis, about the generation and evaluation of synthetic data using GANs☆45Jun 21, 2023Updated 2 years ago
- We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review …☆570Mar 29, 2026Updated 2 months ago
- Differentially-private Wasserstein GAN implementation in PyTorch☆29Nov 1, 2019Updated 6 years ago
- Official GitHub for CTAB-GAN+☆89May 14, 2024Updated 2 years ago
- nbsynthetic is simple and robust tabular synthetic data generation library for small and medium size datasets☆70Feb 22, 2023Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- COR-GAN: Correlation-Capturing Convolutional Neural Networks for Generating Synthetic Healthcare Records☆57Dec 15, 2020Updated 5 years ago
- A toolbox for differentially private data generation☆130Jul 6, 2023Updated 2 years ago
- Differentially Private Conditional Generative Adversarial Network☆31Oct 12, 2021Updated 4 years ago
- A library to generate synthetic tabular or RDF data using Conditional Generative Adversary Networks (GANs) combined with Differential Pri…☆97May 12, 2026Updated last month
- Conditional GAN for generating synthetic tabular data.☆1,560Updated this week
- The first differentially-private diffusion model for tabular data☆35Jun 5, 2024Updated 2 years ago
- ☆14Dec 23, 2020Updated 5 years ago
- ☆24Aug 19, 2024Updated last year
- Algorithms for generating synthetic data☆17Jun 18, 2024Updated last year
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- ☆69Dec 8, 2022Updated 3 years ago
- Files related to an insight data science project focused on predicting death in atherosclerosis patients from the MIMICIII database.☆11Mar 20, 2018Updated 8 years ago
- Getting started with MIMIC-III Critical Care Database☆12Mar 3, 2019Updated 7 years ago
- A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.☆664Apr 21, 2026Updated last month
- ☆25Nov 6, 2025Updated 7 months ago
- [KOR] Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.☆11Jun 7, 2026Updated last week
- ☆21Apr 2, 2024Updated 2 years ago
- Feature Selection using Simulated Annealing☆11Aug 10, 2022Updated 3 years ago
- ☆19Mar 22, 2022Updated 4 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- ☆51Aug 1, 2022Updated 3 years ago
- Dual Adversarial Autoencoder for Generating Set-valued Sequences☆19Jan 15, 2021Updated 5 years ago
- PyCaret deployment on Microsoft Azure using docker container☆10Dec 8, 2022Updated 3 years ago
- Uncertainty Estimation Using Deep Neural Network and Gradient Boosting Methods☆22Jun 1, 2021Updated 5 years ago
- Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models☆183Aug 6, 2024Updated last year
- Differentially Private Synthetic Data Generation [DP-SDG] - Experimental Setups & Knowledge Base - WORK IN PROGRESS☆12Jul 26, 2022Updated 3 years ago
- TPU에서 한국어용 LLM 추론을 위한 Jax/Flax 구현체입니다.☆12Jun 12, 2023Updated 3 years ago
- ☆11Jul 9, 2021Updated 4 years ago
- tableGAN is a synthetic data generation technique (Data Synthesis based on Generative Adversarial Networks paper) based on Generative Ad…☆154May 1, 2019Updated 7 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Official git for "TabuLa: Harnessing Language Models for Tabular Data Synthesis"☆46Jul 30, 2025Updated 10 months ago
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆29Sep 29, 2020Updated 5 years ago
- Word embeddings trained on medical subreddits.☆10Jan 4, 2021Updated 5 years ago
- 커버리스트 - 북 커버 생성 AI 서비스☆13Sep 11, 2022Updated 3 years ago
- Qs from other and my answer on them☆10Jan 27, 2024Updated 2 years ago
- Testing the consistency of binary classification performance scores reported in papers☆12Aug 21, 2025Updated 9 months ago
- Convert pretrained RoBerta models to various long-document transformer models☆11Apr 5, 2022Updated 4 years ago