Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

Connect Hopsworks to Azure

Connecting Hopsworks to your organisation’s Azure account is the first step towards using the Feature Store: 1. Connect your Azure account, 2. Create and configure a storage, 3. Add a ssh key to your resource group, 4. Enable permissions for Hopsworks to access

Connect Hopsworks to AWS

Connecting Hopsworks to your organisation’s AWS account is the first step towards using the Feature Store: 1. Connect your AWS account, 2. Create an instance profile, 3. Create a S3 bucket, 4. Create a SSH key, 5. Enable permissions for Hopsworks to access

Hopsworks.ai on AWS configure and start your cluster

Get started with hopsworks.ai

PyTorch on Hopsworks

On Hopsworks, learn how to run your first PyTorch application on a Jupyter notebook

Hopsworks' Feature Store, Petastorm and Tensorflow

On Hopsworks, learn how to: 1. Create Training/Test Datasets in Petastorm and register them with the Feature Store 2. Use Petastorm Training/Test datasets in the Feature Store to train and score a model in TensorFlow

End-to-End ML with Hopsworks' Feature Store, SKLearn, Model Serving, Inference

On Hopsworks, learn how to: 1. Register Features in the Hopsworks' Feature Store using the Python API 2. Create a Pandas DF from the Feature Store for Training Data

Model serving on Tensorflow in Hopsworks

On Hopsworks, learn how to: 1. Train and export a model from a TensorFlow application 2. Serve the named+versioned model on TensorFlow Serving Server

Running Jupyter notebooks in Airflow

On Hopsworks, learn how to: 1. run a Jupyter notebook as a Job, 2. run Jobs in an Airflow DAG