hugopstackhouse/MPSTime.jl
A Julia package for Matrix-Product State (MPS)-based time-series analysis.
This package helps you analyze complex time-series data, even with missing values, by learning its underlying probability distribution. You input raw time-series measurements, and it can classify new, unseen data or fill in gaps. This is useful for data scientists and researchers working with sensor data, financial series, or any sequential measurements.
Use this if you need to classify new observations based on historical time-series patterns or accurately fill in missing data points in your time-series datasets.
Not ideal if you are looking for simple linear forecasting models or basic statistical analysis of time series.
Stars
23
Forks
2
Language
Julia
License
GPL-3.0
Category
Last pushed
Feb 15, 2026
Commits (30d)
0
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