prophet
Forecaster
An automatic forecasting procedure for time series data with multiple seasonality and linear or non-linear growth
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
19k stars
452 watching
5k forks
Language: Python
last commit: 3 months ago
Linked from 5 awesome lists
forecastingpythonr
Related projects:
Repository | Description | Stars |
---|---|---|
nixtla/statsforecast | A fast and accurate Python library for forecasting time series data using various statistical and econometric models | 4,045 |
sktime/pytorch-forecasting | A PyTorch-based package for state-of-the-art time series forecasting with deep learning architectures | 4,038 |
timeseriesai/tsai | A comprehensive deep learning package for time series data analysis and forecasting. | 5,338 |
awslabs/gluonts | A Python package for building probabilistic models of time series data using deep learning techniques. | 4,677 |
blue-yonder/tsfresh | An automated feature extraction tool for time series data, removing irrelevant features and improving machine learning model performance. | 8,486 |
nixtla/mlforecast | A framework to perform time series forecasting using machine learning models on large datasets. | 924 |
skforecast/skforecast | A Python library for building machine learning models to forecast time series data | 1,189 |
palashmoon/champange-sales-forecasting | A time series forecasting project for predicting sales of champagnes from historical data. | 0 |
microprediction/timemachines | Provides a simple and unified interface to various univariate time-series prediction algorithms | 413 |
cerlymarco/medium_notebook | A collection of Jupyter Notebooks that document various time series forecasting techniques and models used in data science and machine learning. | 2,087 |
wilsonfreitas/r-bizdays | Calculates business days and provides utilities for working with calendars. | 54 |
chrism2671/pytrendfollow | A systematic futures trading framework using trend following algorithms and interacting with multiple data sources | 379 |
openclimatefix/graph_weather | An implementation of a forecasting model using graph neural networks to predict global weather patterns. | 209 |
pipelinedb/pipelinedb | High-performance time-series aggregation system for PostgreSQL | 2,639 |
pyaf/load_forecasting | Develops and compares forecasting models for electric power load in Delhi | 511 |