theforecastingcompany/tfc-t0

Yug: a foundation model for zero-shot probabilistic time-series forecasting

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

Chronos: Pretrained Models for Time Series Forecasting

Scalable and user friendly neural 🧠 forecasting algorithms.

TimeCopilot: the GenAI Forecasting Agent. Built on LLMs and Time Series Foundation Models, it lets you forecast, cross-validate, and detect anomalies using multiple foundation models through a single API. From finance and energy to web analytics, TimeCopilot turns natural-language queries into production-ready forecasts.

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

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 🚀.

TiRex-2: A Zero-Shot Timeseries Forecasting Model