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ROCKET · MINIROCKET · HYDRA
The main features of angus924/minirocket are: Representation Learning, Time Series Analysis.
Projects with overlapping indexed features include: alan-turing-institute/sktime — sktime is a machine learning framework designed for time series analysis. It provides a unified interface for… alkaline-ml/pmdarima — A statistical library designed to fill the void in Python's time series analysis capabilities, including the… angus924/rocket. anhduy0911/coinception — The requirements.txt file are attached for list of packages required. Python 3.9.16 torch==2.0.0 scikitlearn==0.24.2… awslabs/gluonts — GluonTS is a probabilistic time series library and deep learning forecasting framework. It provides a toolkit for… ahmedmalaa/fourier-flows — Code for Generative Time-series Modeling with Fourier Flows.
sktime is a machine learning framework designed for time series analysis. It provides a unified interface for performing time series forecasting, classification, and anomaly detection, integrating these capabilities into a standardized toolkit compatible with the scikit-learn API. The framework allows for the construction of complex analysis workflows through model pipelining and ensemble-based aggregation. It uses adapter-based integration to wrap external time series libraries, providing a single entry point for diverse algorithmic implementations. Its capabilities cover temporal data tran
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
Code for Generative Time-series Modeling with Fourier Flows.