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Official implementation: AutoTimes: Autoregressive Time Series Forecasters via Large Language Models. [Slides](https://cloud.tsinghua.edu.cn/f/7689d30f92594ded84f0/), [Poster](https://cloud.tsinghua.edu.cn/f/f2c18ae34fef4e74ad46/)
Prophet is a time series forecasting library and decomposition tool that uses an additive regression model to predict future values. It functions as an uncertainty estimation tool, calculating confidence intervals and error metrics to quantify the risk associated with future predictions. The project is distinguished by its ability to incorporate human-interpretable parameters for model tuning and its use of Bayesian inference for parameter estimation. It supports the integration of external regressors and special event modeling to account for the impact of holidays and specific dates on forec
Prophet is a predictive analytics framework and time series regression library designed for forecasting future values. It uses additive models to fit non-linear growth and periodic seasonal patterns, providing tools for producing forecasts with integrated error measurement. The project handles multiple seasonalities and holiday effects to improve accuracy for periodic data. It supports the integration of external regressors and manages data irregularities, such as missing data and outliers, to maintain prediction stability. The framework covers a broad range of analysis capabilities, includi
The main features of yuqinie98/patchtst are: Forecasting Models, Time Series Forecasting, Time Series Foundation Models.
Projects with overlapping indexed features include: salesforceairesearch/uni2ts. thuml/autotimes — Official implementation: AutoTimes: Autoregressive Time Series Forecasters via Large Language Models.… facebook/prophet — Prophet is a time series forecasting library and decomposition tool that uses an additive regression model to predict… facebookincubator/prophet — Prophet is a predictive analytics framework and time series regression library designed for forecasting future values.… time-series-foundation-models/lag-llama — Lag-llama is a probabilistic machine learning foundation model designed for time series forecasting. It generates… lyhue1991/eat_tensorflow2_in_30_days — This project is a structured learning curriculum and technical reference for mastering deep learning with TensorFlow.…