Hydrosphere examples

This repo contains demo scenarios and pre-trained models to show Hydrosphere capabilities.

Data and artifacts management

Some models contain dataset or artifacts for training and testing purposes. Those artifacts are managed by dvc.

To load data follow below steps.

• Install dvc package.

  pip install dvc

• Pull all or necessary data from the remote storage.

  dvc pull examples/adult/data/adult.csv.dvc # load specific file
  dvc pull # load all remote files

Python examples

To learn more, how to deploy a python model, check out our getting started guide.

• Simple models
  • Hand-written digit classification model
  • Fraud detection model
  • Object detection model based on MobileNet
  • Titanic survival classification model
• Pipelines
  • Face recognition pipeline based on FaceNet
  • Amazon reviews sentiment classification model
• Custom metrics
  • Census classification model