Mandar-Sharma/TCube
TCube generates rich and fluent narratives that describes the characteristics, trends, and anomalies of any time-series data (domain-agnostic) using the transfer learning capabilities of PLMs.
TCube helps you understand time-series data by generating clear, descriptive narratives. You feed in any time-series dataset, and it outputs fluent, written descriptions of trends, changes, and unusual events, much like a human analyst would provide. This tool is for anyone who needs to quickly grasp the story behind their data, such as business analysts, data scientists, or researchers.
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Use this if you have time-series data from any domain and need automated, detailed, and human-readable summaries of its characteristics, trends, and anomalies.
Not ideal if you primarily need raw numerical forecasts or real-time anomaly alerts without a narrative explanation.
Stars
13
Forks
2
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Sep 08, 2021
Commits (30d)
0
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