Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
翻译 - 用于为具有多个季节性且线性或非线性增长的时间序列数据生成高质量预测的工具。
#计算机科学#NeuralProphet: A simple forecasting package
翻译 - NeuralProphet - a Neural Network based Time-Series model
A research project for natural language generation, containing the official implementations by MSRA NLC team.
Streamlit app to train, evaluate and optimize a Prophet forecasting model.
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GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3
Time Series Analysis & Forecasting of Rossmann Sales with Python. EDA, TSA and seasonal decomposition, Forecasting with Prophet and XGboost modeling for regression.
forecasting examples using Facebook Prophet
Hierarchical Time Series Forecasting using Prophet
Extension for Facebook Prophet
Exponential Smoothing, SARIMA, Facebook Prophet
Time Series Analysis project with Prophet.
Prophet, Xgboost, RandomForest, LSTM, Wavenet
Package encapsulating multivariate forecasting with facebook prophet.
Applying Facebook's prophet on Google Analytics data
Stock prediction app using Streamlit and Facebook prophet
Stock Market predictions with Prophet and FastAPI
Presentation on How to use Facebook Prophet
Forecasting Medium's statistics using Facebook's Prophet Library
一个优秀的大数据查询平台,提供hive异步任务查询、LDAP用户、数据权限控制、历史查询任务与结果存储、邮件通知、excel下载等功能。
Time-series anomaly detection with Facebook Prophet library