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Scalable and user friendly neural :brain: forecasting algorithms.
Created
2021-04-26
1,220 commits to main branch, last one 8 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
4,025 commits to master branch, last one 2 months ago
Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.
Created
2018-03-13
73 commits to master branch, last one 20 days ago
An extension of LightGBM to probabilistic modelling
Created
2020-07-03
194 commits to master branch, last one 10 months 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 3 months ago
Valid and adaptive prediction intervals for probabilistic time series forecasting
Created
2022-02-11
26 commits to main branch, last one 2 years ago