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Awesome GitHub RepositoriesMulti-Dimensional Sequence Processing
Organizing time series data structured by samples, variables, and sequence length into model-ready formats.
Distinct from Sequence Processing: Shortlist candidates focus on text length constraints or general Python sequence management; this is for ML-ready sequence organization.
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Awesome Multi-Dimensional Sequence Processing GitHub Repositories
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- timeseriesai/tsai
timeseriesAI/tsai
6,081Vezi pe GitHubtsai is a deep learning library for time series classification, regression, and forecasting. Built on PyTorch and fastai, it provides a framework for assigning labels to sequential data, predicting future values in univariate or multivariate sequences, and training representations on unlabeled data through self-supervised learning. The library distinguishes itself with specialized temporal engineering and scaling capabilities. It includes tools for cyclical temporal encoding to capture seasonal patterns and online window slicing to process datasets larger than available memory. It also suppor
Organizes input data structured by samples, variables, and sequence length using arrays or tabular formats.
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