Time Series

Timestral
https://github.com/mistralai/timestral

Dynamics-informed machine learning for recovering extensive missing systems dynamics
https://www.nature.com/articles/s41467-026-77922-1

Unified Zero-Shot Time Series Forecasting: A Darts Foundation
https://arxiv.org/abs/2606.27438

Nexus : An Agentic Framework for Time Series Forecasting
https://arxiv.org/abs/2605.14389

SDFlow: Similarity-Driven Flow Matching for Time Series Generation
https://arxiv.org/abs/2605.05736

FlowState is the first time-scale adjustable Time Series Foundation Model
https://huggingface.co/ibm-research/flowstate

TimeCopilot is an open-source forecasting agent
https://github.com/TimeCopilot/timecopilot

Forecast evaluation library
https://github.com/autogluon/fev

Reverso - Efficient time-series foundation models for zero-shot forecasting
https://github.com/shinfxh/reverso

Seg-MoE: Multi-Resolution Segment-wise Mixture-of-Experts for Time Series Forecasting Transformers
https://arxiv.org/abs/2601.21641

Chronos: Pretrained Models for Probabilistic Time Series Forecasting
https://github.com/amazon-science/chronos-forecasting/tree/main
https://github.com/amazon-science/chronos-forecasting/blob/main/notebooks/chronos-2-quickstart.ipynb

OpenTSLM: Time-Series Language Models for Reasoning over Multivariate Medical Text- and Time-Series Data
https://github.com/StanfordBDHG/OpenTSLM

This Time is Different: An Observability Perspective on Time Series Foundation Models
https://arxiv.org/abs/2505.14766

Time Series Foundation Model
https://github.com/google-research/timesfm

DynaMix: True Zero-Shot Inference of Dynamical Systems Preserving Long-Term Statistics
https://github.com/DurstewitzLab/DynaMix-python

Time Series Library
https://github.com/thuml/Time-Series-Library