Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
-
Updated
May 30, 2025 - Python
8000
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Statsmodels: statistical modeling and econometrics in Python
A unified framework for machine learning with time series
Fast and Accurate ML in 3 Lines of Code
A python library for user-friendly forecasting and anomaly detection on time series.
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
Probabilistic time series modeling in Python
Lightning ⚡️ fast forecasting with statistical and econometric models.
Time series forecasting with PyTorch
Merlion: A Machine Learning Framework for Time Series Intelligence
NeuralProphet: A simple forecasting package
Scalable and user friendly neural 🧠 forecasting algorithms.
Chronos: Pretrained Models for Probabilistic Time Series Forecasting
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation/classification/clustering/forecasting/anomaly detection/cleaning on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
ARCH models in Python
Add a description, image, and links to the forecasting topic page so that developers can more easily learn about it.
To associate your repository with the forecasting topic, visit your repo's landing page and select "manage topics."