PAMI is a Python library containing 100+ algorithms to discover useful patterns in various databases across multiple computing platforms. (Active)
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Updated
Nov 9, 2024 - Jupyter Notebook
PAMI is a Python library containing 100+ algorithms to discover useful patterns in various databases across multiple computing platforms. (Active)
[ICLR 2023, Oral] SimPer: Simple Self-Supervised Learning of Periodic Targets
An official implementation of "Periodicity Decoupling Framework for Long-term Series Forecasting" (ICLR 2024)
Monte Carlo and Molecular Dynamics Simulation Package
Detect dominant periodicity in equidistant time series
Disentangling period signals from correlated noise in a periodogram framework
PASF - First-Order Periodic/Aperiodic Separation Filter
Python module `dualgrid` for generating arbitrary rhombic tilings in arbitrary numbers of dimensions, based on the de Bruijn grid method.
Python package implementing various periodicity transforms in Python: Sethares and Staley, Muresan and Parks, my own.
Schedule calendar dates according to some rules of periodicity.
Cover a rectangular domain with periodic Voronoi cells
Generate Random Numbers Using LCG Method
Nearest Neighbour Search with Variables on a Torus
Pytorch-based RAND implementation
Pyriodicity provides an intuitive and easy-to-use Python implementation for periodicity detection in univariate signals.
Bifurcation Diagrams for Discrete-Time Maps in Python - https://doi.org/10.5281/zenodo.13276873
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