uni2ts
tsai
uni2ts | tsai | |
---|---|---|
2 | 4 | |
427 | 4,730 | |
49.2% | 3.0% | |
7.6 | 7.4 | |
5 days ago | 19 days ago | |
Jupyter Notebook | Jupyter Notebook | |
Apache License 2.0 | Apache License 2.0 |
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uni2ts
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Moirai: A Time Series Foundation Model for Universal Forecasting
Code is available! https://github.com/SalesforceAIResearch/uni2ts
- Unified Training of Universal Time Series Forecasting Transformers
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?
nixtla - Python SDK for TimeGPT, a foundational time series model
darts - A python library for user-friendly forecasting and anomaly detection on time series.
sktime-dl - DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
statsforecast - Lightning ⚡️ fast forecasting with statistical and econometric models.
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.
mlforecast - Scalable machine 🤖 learning for time series forecasting.
gluonts - Probabilistic time series modeling in Python
dspytai - EVMOS blockchain Dapp that utilizes on-chain data to model potential price fluctuations in real-time from covalent api.
TGLSTM - Pytorch implementation of LSTM for irregular time series
MAPIE - A scikit-learn-compatible module for estimating prediction intervals.