The platform for building AI from enterprise data
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Updated
Sep 5, 2024 - Python
The platform for building AI from enterprise data
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 python library for user-friendly forecasting and anomaly detection on time series.
A unified framework for machine learning with time series
Fast and Accurate ML in 3 Lines of Code
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
Probabilistic time series modeling in Python
Time series forecasting with PyTorch
Lightning ⚡️ fast forecasting with statistical and econometric models.
NeuralProphet: A simple forecasting package
Merlion: A Machine Learning Framework for Time Series Intelligence
Scalable and user friendly neural 🧠 forecasting algorithms.
Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series 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.
ARCH models in Python
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
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