timeseriesAI/tsai
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
This library helps data scientists and machine learning engineers analyze time-series data to make predictions. It takes in sequences of data points over time, such as sensor readings or stock prices, and can classify patterns, forecast future values, or fill in missing information. It's designed for practitioners who work with sequential data and need to apply advanced deep learning techniques.
6,010 stars. Used by 1 other package. Available on PyPI.
Use this if you are a data scientist or machine learning engineer building predictive models for time-series data and want access to a wide array of state-of-the-art deep learning architectures.
Not ideal if you are looking for a simple, out-of-the-box solution without any programming or deep learning expertise, or if your data is not sequential in nature.
Stars
6,010
Forks
717
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Mar 08, 2026
Commits (30d)
0
Dependencies
8
Reverse dependents
1
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