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
Jun 20, 2024 - Jupyter Notebook
PAMI is a Python library containing 100+ algorithms to discover useful patterns in various databases across multiple computing platforms. (Active)
Detect dominant periodicity in equidistant time series
Pytorch-based RAND implementation
An official implementation of "Periodicity Decoupling Framework for Long-term Series Forecasting" (ICLR 2024)
Monte Carlo and Molecular Dynamics Simulation Package
Python module `dualgrid` for generating arbitrary rhombic tilings in arbitrary numbers of dimensions, based on the de Bruijn grid method.
Nearest Neighbour Search with Variables on a Torus
[ICLR 2023, Oral] SimPer: Simple Self-Supervised Learning of Periodic Targets
Python package implementing various periodicity transforms in Python: Sethares and Staley, Muresan and Parks, my own.
PASF - First-Order Periodic/Aperiodic Separation Filter
Disentangling period signals from correlated noise in a periodogram framework
Generate Random Numbers Using LCG Method
Schedule calendar dates according to some rules of periodicity.
Cover a rectangular domain with periodic Voronoi cells
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