stingray
tsfresh
| stingray | tsfresh | |
|---|---|---|
| 1 | 4 | |
| 163 | 8,087 | |
| 0.6% | 0.5% | |
| 9.8 | 5.4 | |
| 8 days ago | 12 days ago | |
| Python | Jupyter Notebook | |
| MIT License | MIT License |
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stingray
tsfresh
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For deep learning practitioners in industry, is the workflow always this annoying? [D]
This is definitely a good thing to try for time-series; you can automate your feature extraction too (eg using https://github.com/blue-yonder/tsfresh ).
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[D] Incorporating external data in LSTM models for sales forecasting in e-commerce
don't forget your feature engineering -> https://github.com/blue-yonder/tsfresh
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[R] Approach to identify clusters on a time series
Rather than the exact clustering algorithm, I think the main issue here is the feature extraction for the clustering. https://github.com/blue-yonder/tsfresh might be useful for that.
- Automatic time series feature extraction based on scalable hypothesis tests
What are some alternatives?
timemachines - Predict time-series with one line of code.
tsflex - Flexible time series feature extraction & processing
TimeSynth - A Multipurpose Library for Synthetic Time Series Generation in Python
PyCBC-Tutorials - Learn how to use PyCBC to analyze gravitational-wave data and do parameter inference.
Deep_Learning_Machine_Learning_Stock - Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
lama - 🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
SDV - Synthetic data generation for tabular data
priwo - I/O for common pulsar data formats.
Time-Series-Transformer - A data preprocessing package for time series data. Design for machine learning and deep learning.
tslearn - The machine learning toolkit for time series analysis in Python
darts - A python library for user-friendly forecasting and anomaly detection on time series.