Deep_XF
tsai
Deep_XF | tsai | |
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3 | 4 | |
110 | 4,703 | |
- | 2.5% | |
10.0 | 7.4 | |
over 1 year ago | 16 days ago | |
Jupyter Notebook | Jupyter Notebook | |
- | Apache License 2.0 |
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Deep_XF
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?
modeltime - Modeltime unlocks time series forecast models and machine learning in one framework
darts - A python library for user-friendly forecasting and anomaly detection on time series.
Autoformer - About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
sktime-dl - DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
wb_gdp_predict - Predicting next year's GDP using ML (Python)
statsforecast - Lightning ⚡️ fast forecasting with statistical and econometric models.
Auto_TS - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ram Seshadri. Collaborators welcome.
flow-forecast - Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
lockdowndates - Retrieve the dates of the restrictions imposed by governments in countries around the world during the covid-19 pandemic.
neuralforecast - Scalable and user friendly neural :brain: forecasting algorithms.
BrewPOTS - The tutorials for PyPOTS.
nixtla - Python SDK for TimeGPT, a foundational time series model