Open Source

In this post, we walk through building a data pipeline that will automatically transform datasets so they can be safely used in development environments.

Look at how FastText word embeddings can help to quickly understand new datasets, and build more consistent labels for your own data.

In this blog, we will use Fluent Bit to collect logs from AWS EKS cluster applications.

Our new configuration templates will help you pick some of the right parameters needed to train your synthetic data models.

Generate artificial records to balance biased datasets and improve overall model accuracy.

How to train a FastCUT GAN on public location data from a few cities to predict realistic e-bike locations across the world.

We founded Gretel based on our beliefs that data shouldn’t be scary.

We are launching Gretel Blueprints, making it easy to anonymize and balance datasets with just a few clicks.

Generate synthetic time series data with Gretel.ai’s open-source PyTorch implementation of DoppelGANger.