PAMI is a Python library containing 100+ algorithms to discover useful patterns in various databases across multiple computing platforms. (Active)

Pyriodicity provides an intuitive and easy-to-use Python implementation for periodicity detection in univariate signals.

Detect dominant periodicity in equidistant time series

Python package implementing various periodicity transforms in Python: Sethares and Staley, Muresan and Parks, my own.

Bifurcation Diagrams for Discrete-Time Maps in Python - https://doi.org/10.5281/zenodo.13276873

Pitch Estimating Neural Networks (PENN)

Monte Carlo and Molecular Dynamics Simulation Package

Pytorch-based RAND implementation

An official implementation of "Periodicity Decoupling Framework for Long-term Series Forecasting" (ICLR 2024)

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

Time-aware tibbles

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