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This code fine-tunes IBM's TinyTimeMixer model on a specified time-series dataset, enabling both zero-shot and few-shot evaluations to forecast multivariate time-series data with customizable train…
Learning complex time series forecasting models usually requires a large amount of data, as each model is trained from scratch for each task/data set. Leveraging learning experience with similar da…
Repository for ICLR 2023 work, "Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting"
Meta-Learning for Few-Shot Time Series Forecasting