Build datahem components with google cloud build
A serverless real-time end-2-end ML pipeline built entirely on Google Cloud Platform services - AppEngine, PubSub, Dataflow, BigQuery and Cloud ML
Infrastructure as code (google deployment manager) to setup API:s and services necessary for datahem
Processor to process bounded and unbounded data and write to PubSub and BigQuery.
Serializer to serialize structured data in datahem
Trackers to send data to datahem collector
A GAN-based GUI generation method
StyleGAN2-ADA - Official PyTorch implementation