ustc-time-series/Time-R1

[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"

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

Foundation Models for Time Series

Scalable machine 🤖 learning for time series forecasting.

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

Time series forecasting with PyTorch

Source code for the AAAI 2025 paper "TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents."

Scalable and user friendly neural 🧠 forecasting algorithms.

The best repository showing why transformers might not be the answer for time series forecasting and showcasing the best SOTA non transformer models.