332 skills found · Page 1 of 12
facebook / ProphetTool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
ourownstory / Neural ProphetNeuralProphet: A simple forecasting package
chaos-genius / Chaos GeniusML powered analytics engine for outlier detection and root cause analysis.
wwrechard / PydlmA python library for Bayesian time series modeling
NetManAIOps / DonutWWW 2018: Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications
advaitsave / Introduction To Time Series Forecasting PythonIntroduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast evaluation.
Ford / AVDataAutonomous Vehicle Seasonal Dataset
LeeDoYup / RobustSTLUnofficial Implementation of RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series (AAAI 2019)
YuanGao-YG / NeuralOM[AAAI 2026] NeuralOM: Neural Ocean Model for Subseasonal-to-Seasonal Simulation
salesforce / CoSTPyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)
elena-roff / Time Series ProphetTime Series Analysis & Forecasting of Rossmann Sales with Python. EDA, TSA and seasonal decomposition, Forecasting with Prophet and XGboost modeling for regression.
jrmontag / STLDecomposeA Python implementation of Seasonal and Trend decomposition using Loess (STL) for time series data.
ServiceNow / Seasonal Contrastseasonal-contrast is a ServiceNow Research project that was started at Element AI.
tidyverts / FassterForecasting with Additive Switching of Seasonality, Trend and Exogenous Regressors
ServiceNow / Stl Decomp 4jJava implementation of Seasonal-Trend-Loess time-series decomposition algorithm.
stitsyuk / XPatch[AAAI 2025] Official implementation of "xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition"
tom-andersson / Icenet PaperCode associated with the paper 'Seasonal Arctic sea ice forecasting with probabilistic deep learning'
NOAA-EMC / Global WorkflowGlobal Superstructure/Workflow supporting the Global, Global Ensemble, and Seasonal Forecast Systems (GFS, GEFS, SFS)
GeneSUN / Time Series Analysis ToolkitA comprehensive toolkit for time series analysis, including scripts for visualizing results, detecting stationarity, trends, seasonality, and heteroscedasticity, as well as building models, and evaluating performance
zhycs / LaSTCode for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022
