PAMI is a Python library containing 100+ algorithms to discover useful patterns in various databases across multiple computing platforms. (Active)
-
Updated
Sep 19, 2024 - Jupyter Notebook
PAMI is a Python library containing 100+ algorithms to discover useful patterns in various databases across multiple computing platforms. (Active)
Monte Carlo and Molecular Dynamics Simulation Package
An official implementation of "Periodicity Decoupling Framework for Long-term Series Forecasting" (ICLR 2024)
[ICLR 2023, Oral] SimPer: Simple Self-Supervised Learning of Periodic Targets
Python module `dualgrid` for generating arbitrary rhombic tilings in arbitrary numbers of dimensions, based on the de Bruijn grid method.
PASF - First-Order Periodic/Aperiodic Separation Filter
Disentangling period signals from correlated noise in a periodogram framework
Detect dominant periodicity in equidistant time series
Cover a rectangular domain with periodic Voronoi cells
Nearest Neighbour Search with Variables on a Torus
Python package implementing various periodicity transforms in Python: Sethares and Staley, Muresan and Parks, my own.
Generate Random Numbers Using LCG Method
Pytorch-based RAND implementation
Bifurcation Diagrams for Discrete-Time Maps in Python - https://doi.org/10.5281/zenodo.13276873
Schedule calendar dates according to some rules of periodicity.
Add a description, image, and links to the periodicity topic page so that developers can more easily learn about it.
To associate your repository with the periodicity topic, visit your repo's landing page and select "manage topics."