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GitHub topics: nhits

Nixtla/neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

Language: Python - Size: 137 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 3,642 - Forks: 435

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.

Language: Python - Size: 7.07 MB - Last synced at: 5 days ago - Pushed at: 13 days ago - Stars: 529 - Forks: 122

Gaurav0502/daily-sales-forecasting

Forecasting daily total sales ๐Ÿงพ of different gifting items ๐ŸŽ using holiday data ๐ŸŽ„, promotional sales data ๐Ÿท๏ธ , and other time-series features ๐Ÿ•›

Language: Python - Size: 75.2 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

kochlisGit/VIT2

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.

Language: Jupyter Notebook - Size: 11 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0