Peter Wittek

somoclu. Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters

qml-rg. Quantum Machine Learning Reading Group @ ICFO

ncpol2sdpa. Solve global polynomial optimization problems of either commutative variables or noncommutative operators through a semidefinite programming (SDP) relaxation

quantum_machine_learning_figures. Scripts to generate the figures in the book Quantum Machine Learning: What Quantum Computing Means to Data Mining

happycowler. Crawl the HappyCow database to GPX or KML files for offline use

Somoclu.jl. Julia package for Somoclu -- Massively parallel self-organizing maps: accelerate training on multicore CPUs and GPUs

dqc-gpu. GPU-Accelerated Dynamic Quantum Clustering

ipython-notebooks. Repository of IPython notebooks

peterwittek.com. Jupyter Notebook

mr-mpi-som-gpu. GPU-Accelerated MapReduce-Based Self-Organizing Maps

bibpain. Bibtex Painkiller

test-latex-converters. A test case and accompanying scripts to compare converters from LaTeX to word processor formats

ncpol2sdpa-cpp. A converter from noncommutative polynomial optimization problems to sparse SDPA input format -- C++ version

concept_drifts. Demonstrating concept drifts in Amazon book reviews

qiskit-tutorials. A collection of Jupyter notebooks from the community and qiskit developers showing how to use Qiskit

squalar-spectralmap. Squalar Spectral Map is a simple package that takes a term-document matrix, calculates a term co-occurrence matrix, calculates its eigendecomposition with SVD, and finally maps terms to the visible spectrum by comparing a term's co-occurrence vector to the eigenvectors.

dynamicbiseriation. Two-way Incremental Seriation based on Hamiltonian Path

open_science_tutorial. The source files for the tutorial given in ICFO on 4 June 2015.

sseriation. Semantic Seriation based on Hamiltonian Path