This repo contains various demo scenarios and pre-trained models.
SSD Tensorflow object detection serving data.
New model with Robust Random Cut Forest to detect anomalies.
Pipeline example with preprocessing, stateful LSTM and postprocessing
To upload a model:
pip install hs
cd model/$MODEL_FOLDER
hs cluster add --name <name> --server <server_addr>
hs upload