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Scalable and user friendly neural :brain: forecasting algorithms.
Created
2021-04-26
1,236 commits to main branch, last one 11 days ago
Time series forecasting with machine learning models
arima
python
sarimax
xgboost
lightgbm
forecasting
time-series
data-science
scikit-learn
machine-learning
direct-forecasting
exogenous-predictors
lstm-neural-networks
quantile-forecasting
multi-step-forecasting
backtesting-forecasters
multi-series-forecasting
probabilistic-forecasting
autoregressive-forecasting
multiple-time-series-forecasting
Created
2021-02-10
4,546 commits to master branch, last one 20 days ago
Library for implementing reservoir computing models (echo state networks) for multivariate time series classification, clustering, forecasting, and much more!
Created
2018-03-13
77 commits to master branch, last one about a month ago
An extension of LightGBM to probabilistic modelling
Created
2020-07-03
194 commits to master branch, last one about a year ago
An open source library for Fuzzy Time Series in Python
Created
2015-11-17
580 commits to master branch, last one about a year ago
[NeurIPS 2023] A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting
Created
2023-06-02
20 commits to main branch, last one 6 months ago
Valid and adaptive prediction intervals for probabilistic time series forecasting.
Created
2022-02-11
27 commits to main branch, last one about a month ago