Monitoring predefined patterns in streaming time series is useful to applications such as trend-related analysis, sensor networks and video surveillance. Most current studies on such monitoring employ ...

Cd to the directory 'U-2-Net', run the train or inference process by command: python u2net_train.py or python u2net_test.py respectively. The 'model_name' in both files can be changed to 'u2net' or ...

Aim is an open-source, self-hosted ML experiment tracking tool designed to handle 10,000s of training runs. Aim provides a performant and beautiful UI for exploring and comparing training runs.

Invasion incident pattern recognition is crucial for a distributed optical fiber vibration sensing system based on a phase-sensitive time-domain reflectometer. Despite traditional pattern recognition ...