Time series forecasting with PyTorch

Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

A simple and flexible code for Reservoir Computing architectures like Echo State Networks

Predict time-series with one line of code.

The fundamental package for AIops with python.

Timeseries Anomaly detection and Root Cause Analysis on data in SQL data warehouses and databases

TKAN: Temporal Kolmogorov-Arnold Networks

[IJCAI-24] Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting

A code implementation of new papers in the time series forecasting field.

A multiverse of Prophet models for timeseries

spinesTS, a powerful toolset for time series prediction, is one of the cornerstones of PipelineTS.

An easy to use low-code open-source python framework for Time Series analysis, visualization, forecasting along with AutoTS

SSIM - A Deep Learning Approach for Recovering Missing Time Series Sensor Data

Attention Feature Fusion base on spatial-temporal Graph Convolutional Network（AFFGCN）

Source code of NeurIPS'22 paper: FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting

Multivariate time-series forecasting with LSTNET and soft-DTW loss

TSForecasting: Automated Time Series Forecasting Framework

Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution

Performant, composable online learning