skforecast
Time series forecaster
A Python library for building machine learning models to forecast time series data
Time series forecasting with machine learning models
1k stars
10 watching
135 forks
Language: Python
last commit: 4 days ago arimaautoregressive-forecastingbacktesting-forecastersdata-sciencedirect-forecastingexogenous-predictorsforecastinglightgbmlstm-neural-networksmachine-learningmulti-series-forecastingmulti-step-forecastingmultiple-time-series-forecastingprobabilistic-forecastingpythonquantile-forecastingsarimaxscikit-learntime-seriesxgboost
Related projects:
Repository | Description | Stars |
---|---|---|
nixtla/mlforecast | A Python library for scalable machine learning-based time series forecasting with efficient feature engineering and out-of-the-box compatibility. | 899 |
sktime/pysf | A Python library for supervised forecasting of sequential data | 55 |
sktime/skpro | A Python framework for probabilistic regression and prediction tasks | 249 |
x-datainitiative/tick | A Python module for statistical learning with an emphasis on time-dependent modeling, providing tools for machine learning, point-process modeling, and optimization. | 491 |
rjt1990/pyflux | A comprehensive time series modeling library with various statistical models and inference methods. | 2,111 |
sktime/sktime | A unified framework for time series analysis and machine learning | 7,943 |
alkaline-ml/pmdarima | A statistical library for time series analysis and forecasting | 1,594 |
dmbee/seglearn | A machine learning tool for time series data analysis and modeling | 571 |
linkedin/greykite | A flexible forecasting and anomaly detection library for time series data | 1,813 |
shapelets/khiva-python | A Python binding for the Khiva time series analytics library. | 46 |
openstef/openstef | A package designed to automate machine learning pipelines for short-term energy forecasting using Python. | 93 |
johannfaouzi/pyts | A Python package for time series classification and analysis | 1,772 |
uber/orbit | A Python package for Bayesian time series forecasting and inference with probabilistic programming languages under the hood. | 1,883 |
hfawaz/dl-4-tsc | This project provides a framework for evaluating and comparing different deep learning architectures for time series classification tasks. | 1,558 |
xarray-contrib/xskillscore | Provides metrics for verifying deterministic and probabilistic forecasts in climate science | 225 |