NatLabRockies/BuildingsBench

Automated Machine Learning pipelines. Builds the Open Short Term Energy Forecasting package.

Datasets for time series forecasting

Forecast evaluation library

[PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods

TimeGPT-2.1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.

TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

Foundation Models for Time Series

Time series forecasting with PyTorch