[Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch
A Julia/JuMP Package for Maximizing Algebraic Connectivity of Undirected Weighted Graphs
A Python package designed to perform both semantic and instance segmentation of 3D plant point clouds, providing a robust and automatic pipeline for plant structure analysis.
Spectral Based Mesh Segmentation
Flow-state engineering arena — agents run forward simulations, listen for spectral nudges, maintain conservation in Plato's cave. Conservation spectral framework meets live agent rooms.
Zero-dependency Rust library and CLI for weighted graph auditing, deterministic spectral partitioning, and explainable topology diagnostics.
Spectral Clustering of a Social Network connection Graph in C++ using the eigen3 library.
Community detection on Social Network
Spectral clustering on social networks using the graph Laplacian and Fiedler vector. Predicts the real split of Zachary's Karate Club with 97.1% accuracy (33/34), benchmarked against NetworkX and Louvain, with a 13-test suite and CI.
Java Swing application that partitions undirected graphs using the Fiedler vector of the graph Laplacian. Built with Apache Commons Math.
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