Models
This section covers the generative machine learning models supported by Gretel APIs as well as core use cases and capabilities.
Gretel has several models, with more models and supported datatypes coming soon.
- Gretel LSTM - deep learning model that supports tabular, time-series, and natural language text data.
- Gretel ACTGAN - adversarial model that supports tabular data, structured numerical data, and high column count data.
- Gretel Tabular DP - statistical model to generate synthetic data with strong differential privacy guarantees.
This section compares features of different generative data models supported by Gretel APIs.
✅ = Supported
✖️ = Not yet supported
LSTM | ACTGAN | Amplify | DGAN | GPT | Tabular DP | |
|---|---|---|---|---|---|---|
Tag | synthetics | actgan | amplify | timeseries_dgan | gpt_x | tabular_dp |
Type | Language Model | Generative Adversarial Network | Statistical | Generative Adversarial Network | Language Model | Statistical |
Model | LSTM | GAN | Statistical | GAN | Pre-trained Transformer | Probabilistic Graphical Model |
Privacy filters | ✅ | ✅ | ✅ | ✖️ | ✖️ | ✖️ |
Differential privacy | x | ✖️ | ✖️ | ✖️ | ✖️ | ✅ |
✅ | ✅ | ✅ | ✖️ | ✖️ | ✅ | |
✅ | ✅ | ✅ | ✅ | ✅ | ✖️ | |
Tabular | ✅ | ✅ | ✅ | ✅ | ✖️ | ✅ |
Time-series | ✅ | ✖️ | ✖️ | ✅ | ✖️ | ✖️ |
Natural language | ✅ | ✖️ | ✖️ | ✖️ | ✅ | ✖️ |
Conditional generation | ✅ | ✅ | ✅ | ✖️ | ✅ | ✖️ |
Pre-trained | ✖️ | ✖️ | ✖️ | ✖️ | ✅ | ✖️ |
Gretel cloud | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
Hybrid cloud | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
GitHub - gretelai/gretel-synthetics: Synthetic data generators for structured and unstructured text, featuring differentially private learning.
GitHub
Check out our GitHub for research, source code and examples including our core synthetic data generation library.
Last modified 16d ago