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PaddlePaddle / PaddleTS

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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 Oct 22, 2024
  • Python

kochlisGit / VIT2

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This repository is the implementation of the paper: ViT2 - Pre-training Vision Transformers for Visual Times Series Forecasting. ViT2 is a framework designed to address generalization & transfer learning limitations of Time-Series-based forecasting models by encoding the time-series to images using GAF and a modified ViT architecture.

python deep-neural-networks computer-vision tensorflow pytorch resnet convolutional-neural-networks darts time-series-forecasting image-encoding vision-transformer nbeats timm temporal-fusion-transformer nhits multi-quantile-regression gramian-angular-fields probalistic-forecasting
  • Updated Apr 8, 2024
  • Jupyter Notebook

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