The GitHub repository for the paper "Informer" accepted by AAAI 2021.

Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

Fast and Accurate ML in 3 Lines of Code

Calculates various features from time series data. Python implementation of the R package tsfeatures.

An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730

Chronos: Pretrained Models for Time Series Forecasting