google-research/timesfm

TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting. This open version is not an officially supported Google product. Latest Model Version: TimesFM 3.0 ✨ Archived Model Versions: TimesFM 3.0 finishes rollout in Google Cloud BigQuery ML, supporting commercial and production uses (see clarified license notice). TimesFM 3.0 is out! TimesFM 3.0 introduces native multivariate time-series forecasting, flexible covariate support (both past-only and past-and-future covariates), superior zero-shot generalist capabilities, and top performance across all three major time-series foundation model benchmarks. Updated PyPI to timesfm=2.0.2. See Install. Added fine-tuning example using HuggingFace Transformers + PEFT (LoRA) — see timesfm-forecasting/examples/finetuning/. Also added unit tests (tests/) and incorporated several community fixes. Shoutout to @kashif and @darkpowerxo. Huge shoutout to @borealBytes for adding the support for AGENTS! TimesFM SKILL.md is out. Added back the covariate support through XReg for TimesFM 2.5. TimesFM 2.5 is out!…