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Nixtla
neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

333K 4K 487
skforecast
skforecast

Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models

103K 1K 187
earthai-tech
base-attentive

Modular Multi-Backend Encoder-Decoder Architecture for Probabilistic Time Series Forecasting

3K 1 0
StatMixedML
lightgbmlss

An extension of LightGBM to probabilistic modelling

3K 382 36
yotambraun
apdtflow

APDTFlow is a modern and extensible forecasting framework for time series data that leverages advanced techniques including neural ordinary differential equations (Neural ODEs), transformer-based components, and probabilistic modeling. Its modular design allows researchers and practitioners to experiment with multiple forecasting models and easily

1K 43 5
luca-pernigo
kernel-quantile-regression

Kernel quantile regression

632 7 1
simon-hirsch
ondil

A package for online distributional learning.

625 33 7
simon-hirsch
rolch

A package for online distributional learning.

611 34 7
FilippoMB
reservoir-computing

Library for implementing reservoir computing models (Echo State Networks) for multivariate time series classification, clustering, and forecasting.

495 418 87
PYFTS
pyfts

Fuzzy Time Series for Python

327 279 55
PyCoder913
stengression

Deep spatiotemporal engression networks for probabilistic forecasting

135 0 0
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