tsai
TGLSTM
| tsai | TGLSTM | |
|---|---|---|
| 4 | 1 | |
| 4,703 | 10 | |
| 2.5% | - | |
| 7.4 | 10.0 | |
| 12 days ago | about 4 years ago | |
| Jupyter Notebook | Python | |
| Apache License 2.0 | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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tsai
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Aeon: A unified framework for machine learning with time series
Also https://github.com/timeseriesAI/tsai
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What is the current state-of-art in sequence classification?
You might be interested in tsai. I am not affiliated with them and have not used tsai, but I have been planning to try it for too long … well :p
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[P] Deep Learning for time series forecasting (neuralforecast, python package)
how about tsai?
- Machine learning with Time series data
TGLSTM
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[P] Deep Learning for time series forecasting (neuralforecast, python package)
I'm not current on what the SOTA is, but Time Gated LSTM is one example. Another is Latent ODEs for Irregularly-Sampled Time Series.
What are some alternatives?
darts - A python library for user-friendly forecasting and anomaly detection on time series.
nixtla - Python SDK for TimeGPT, a foundational time series model
sktime-dl - DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
statsforecast - Lightning ⚡️ fast forecasting with statistical and econometric models.
neuralforecast - Scalable and user friendly neural :brain: forecasting algorithms.
flow-forecast - Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
mlforecast - Scalable machine 🤖 learning for time series forecasting.
tsfeatures - Calculates various features from time series data. Python implementation of the R package tsfeatures.