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time-series-representation-learning

Here are 3 public repositories matching this topic...

PaddlePaddle / PaddleTS

Awesome Easy-to-Use Deep Time Series Modeling based on PaddlePaddle, including comprehensive functionality modules like TSDataset, Analysis, Transform, Models, AutoTS, and Ensemble, etc., supporting versatile tasks like time series forecasting, representation learning, and anomaly detection, etc., featured with quick tracking of SOTA deep models.

cost informer time-series-analysis paddlepaddle time-series-forecasting time-series-models deepar time-series-anomaly-detection n-beats nbeats nhits paddlets ts2vec n-hits time-series-representation-learning

Updated Dec 19, 2024
Python

aptx1231 / CoST_Paddle

A PaddlePaddle implementation of CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting.

cost iclr paddlepaddle time-series-forecasting time-series-representation-learning

Updated Mar 19, 2023
Python

OnurVural / contrex

CONTREX, a novel contrastive representation learning approach for multivariate time series data.

time-series-analysis contrastive-learning time-series-representation-learning solar-flare-prediction contrastive-representation-learning

Updated Oct 15, 2024
Jupyter Notebook

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