Tensorytime
Tensorytime is a computational concept and software library focused on managing and processing time-series data within the framework of tensor operations. It aims to provide an efficient and intuitive way to handle temporal dependencies and patterns in data that evolves over time. The core idea is to represent time-series data as tensors, which are multi-dimensional arrays, and then leverage tensor algebra and operations for analysis and manipulation.
The library offers functionalities for various time-series tasks, including forecasting, anomaly detection, feature extraction, and data
Tensorytime is particularly useful in domains where sequential data is prevalent, such as finance, sensor networks,