tsdownsample
tsai
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tsdownsample | tsai | |
---|---|---|
7 | 4 | |
127 | 4,690 | |
6.3% | 4.7% | |
6.0 | 7.4 | |
16 days ago | 4 days ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | Apache License 2.0 |
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tsdownsample
- downsampling 500M datapoints in < 0.05s
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[P] tsdownsample: extremely fast time series downsampling for visualization
P.S.: I recently discovered a bug in the implementation (when there are large gaps in the time series ) -> PR https://github.com/predict-idlab/tsdownsample/pull/20 should fix this
- tsdownsample: Timeseries downsampling with 200-300x better performance vs. NumPy
- tsdownsample: time-series downsampling with 200-300x performance to equivalent numpy routines
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tsdownsample: extremely fast time series downsampling written in Rust
I just created an Issue for this: https://github.com/predict-idlab/tsdownsample/issues/19
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
What are some alternatives?
ZenithTA - A high performance python technical analysis library written in Rust and the Numpy C API.
darts - A python library for user-friendly forecasting and anomaly detection on time series.
downsample - Collection of several downsampling methods for time series visualisation purposes.
sktime-dl - DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
Panther - A high performance python technical analysis library written in Rust and the Numpy C API. [Moved to: https://github.com/gregyjames/ZenithTA]
statsforecast - Lightning ⚡️ fast forecasting with statistical and econometric models.
argminmax - Efficient argmin & argmax
flow-forecast - Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
neuralforecast - Scalable and user friendly neural :brain: forecasting algorithms.
nixtla - Python SDK for TimeGPT, a foundational time series model
mlforecast - Scalable machine 🤖 learning for time series forecasting.
gluonts - Probabilistic time series modeling in Python