Source code for the book "Quantum Computing for Programmers", Cambridge University Press

Official PyTorch implementation of NeuralSVD (ICML 2024)

[NeurIPS'25] Sequence Modeling with Spectral Mean Flows, in PyTorch

Deeply Learned Spectral Total Variation Decomposition.

💬 Algorithms to Decompose Matrices

PyMC-based Bayesian spectral decomposition for neural power spectra with Gamma observation models and additive or FOOOF-like component structure.

Python implementation of "Learning mixtures of spherical Gaussians: moment methods and spectral decompositions, arXiv:1206.5766v4 [cs.LG]" (ACM 2013)

RIME: spectral, transport, accessibility, and observable-pipeline geometry for finite represented systems, with Rubik as a reproducible laboratory.

Bayesian poissonian histogram decomposition engine for the GERDA experiment

Collection of my data science, process automation and other work

The prime distribution decomposes as P(prime at s) = mu(s) · S(s) · rho(s), where rho(s) is a non-constant prime preference field with measurable Fourier structure.

💬 Algorithms to Decompose Matrices