Metrics to evaluate quality and efficacy of synthetic datasets.
☆263Sep 19, 2026Updated this week
Alternatives and similar repositories for SDMetrics
Users that are interested in SDMetrics are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A library of Reversible Data Transforms☆135Updated this week
- Benchmarking synthetic data generation methods.☆311Updated this week
- Conditional GAN for generating synthetic tabular data.☆1,566Updated this week
- Synthetic data generation for tabular data☆3,559Updated this week
- A library to model multivariate data using copulas.☆652Sep 7, 2026Updated last week
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Synthetic Data Generation for mixed-type, multivariate time series.☆125Updated this week
- Data Lineage Tracing Library☆25Nov 30, 2021Updated 4 years ago
- Evaluate real and synthetic datasets against each other☆93Jun 5, 2026Updated 3 months ago
- Generative adversarial training for generating synthetic tabular data.☆298Nov 26, 2022Updated 3 years ago
- Official GitHub for CTAB-GAN+☆90May 14, 2024Updated 2 years ago
- Synthetic data generators for structured and unstructured text, featuring differentially private learning.☆683Jun 24, 2025Updated last year
- A novel approach for synthesizing tabular data using pretrained large language models☆369Aug 16, 2026Updated last month
- A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.☆244Jan 4, 2026Updated 8 months ago
- Official Implementations of "Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space""☆205Jul 15, 2024Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- AutoBazaar: An AutoML System from the Machine Learning Bazaar☆33Jun 25, 2021Updated 5 years ago
- Deep learning for time-varying multi-entity datasets☆17May 12, 2018Updated 8 years ago
- A simple, extensible library for developing AutoML systems☆176Jul 28, 2023Updated 3 years ago
- SDNist: Benchmark data and evaluation tools for data synthesizers.☆44Jun 5, 2026Updated 3 months ago
- Predict whether internet traffic is malicious given historical router traffic data☆35Aug 13, 2020Updated 6 years ago
- 🗼 [ICLR 2026 Oral] Official implementation of “TabStruct: Measuring Structural Fidelity of Tabular Data”☆30Mar 4, 2026Updated 6 months ago
- [ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"☆566Jul 13, 2024Updated 2 years ago
- ☆45Dec 7, 2022Updated 3 years ago
- A collection of implementations of fair ML algorithms☆12Jan 7, 2018Updated 8 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- 📈 🐍 Multidimensional synthetic data generation with Copula and fPCA models in Python☆69Sep 28, 2023Updated 2 years ago
- Predict whether or not a patient will show up to their next appointment using automated feature engineering☆29Aug 13, 2020Updated 6 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 5 months ago
- Predict whether a student will correctly answer a problem based on past performance using automated feature engineering☆31Aug 13, 2020Updated 6 years ago
- ☀️🦶 A lightweight framework for collaborative, open-source feature engineering☆33Oct 25, 2021Updated 4 years ago
- Official git for "CTAB-GAN: Effective Table Data Synthesizing"☆97Jan 19, 2024Updated 2 years ago
- A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels f…☆514Mar 31, 2025Updated last year
- Directed Acyclic Tabular GAN (DATGAN) for integrating expert knowledge in synthetic tabular data generation☆18Oct 19, 2024Updated last year
- A principled library for tuning, training and evaluating tabular data synthesis on fidelity, privacy and utility. CCS 2025.☆27Aug 17, 2025Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Implementation of the paper: "FedTabDiff: Federated Learning of Diffusion Models for Synthetic Mixed-Type Tabular Data Generation"☆23Nov 10, 2024Updated last year
- An easier approach to using and understanding ML models☆25May 6, 2025Updated last year
- Monte Carlo Flow Models for Data Imputation☆20Jun 1, 2020Updated 6 years ago
- ☆24Mar 21, 2023Updated 3 years ago
- Source code for the Observatory of Anonymity☆10Jul 28, 2026Updated last month
- EvalML is an AutoML library written in python.☆850Jan 14, 2026Updated 8 months ago
- Official git for "TabuLa: Harnessing Language Models for Tabular Data Synthesis"☆47Jul 30, 2025Updated last year