AdityaLab/Samay
State-of-art Foundational Time-series models
This package helps machine learning engineers and researchers accurately predict future trends using existing time-series data. It takes raw time-series datasets, such as sensor readings or sales figures, and outputs predictions and evaluations from state-of-the-art foundational models. Machine learning practitioners in various industries will use this to build and benchmark predictive systems.
Use this if you need to train and evaluate advanced, foundational time-series models for forecasting or other time-series analysis tasks.
Not ideal if you are looking for a simple, out-of-the-box forecasting tool without needing to engage with model configuration and evaluation at a foundational level.
Stars
33
Forks
6
Language
Python
License
Apache-2.0
Category
Last pushed
Feb 24, 2026
Commits (30d)
0
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