A Library for Advanced Deep Time Series Models.
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Updated
Jul 28, 2025 - Python
A Library for Advanced Deep Time Series Models.
Fast and Accurate ML in 3 Lines of Code
A unified framework for machine learning with time series
A python library for user-friendly forecasting and anomaly detection on time series.
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
All-in-One Development Tool based on PaddlePaddle
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Probabilistic time series modeling in Python
Lightning ⚡️ fast forecasting with statistical and econometric models.
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Scalable and user friendly neural 🧠 forecasting algorithms.
Chronos: Pretrained Models for Probabilistic Time Series Forecasting
An environmental monitoring and regulation system
Synthetic data generation for tabular data
The machine learning toolkit for time series analysis in Python
[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).
[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"
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