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somoclu Public
Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters
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qml-rg Public
Quantum Machine Learning Reading Group @ ICFO
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qosf.org Public
Forked from qosf/qosf.orgWeb portal of Quantum Open Software Foundation
CSS Creative Commons Zero v1.0 Universal UpdatedJan 31, 2019 -
qiskit-tutorials Public
Forked from Qiskit/qiskit-tutorialsA collection of Jupyter notebooks from the community and qiskit developers showing how to use Qiskit
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pyquil Public
Forked from rigetti/pyquilA Python library for quantum programming using Quil.
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Somoclu.jl Public
Julia package for Somoclu -- Massively parallel self-organizing maps: accelerate training on multicore CPUs and GPUs
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ncpol2sdpa Public
Solve global polynomial optimization problems of either commutative variables or noncommutative operators through a semidefinite programming (SDP) relaxation
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happycowler Public
Crawl the HappyCow database to GPX or KML files for offline use
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ipython-notebooks Public
Repository of IPython notebooks
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open_science_tutorial Public
The source files for the tutorial given in ICFO on 4 June 2015.
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concept_drifts Public
Demonstrating concept drifts in Amazon book reviews
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dqc-gpu Public
GPU-Accelerated Dynamic Quantum Clustering
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dynamicbiseriation Public
Two-way Incremental Seriation based on Hamiltonian Path
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test-latex-converters Public
A test case and accompanying scripts to compare converters from LaTeX to word processor formats
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Scripts to generate the figures in the book Quantum Machine Learning: What Quantum Computing Means to Data Mining
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ncpol2sdpa-cpp Public
A converter from noncommutative polynomial optimization problems to sparse SDPA input format -- C++ version
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mr-mpi-som-gpu Public
GPU-Accelerated MapReduce-Based Self-Organizing Maps
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sseriation Public
Semantic Seriation based on Hamiltonian Path
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squalar-spectralmap Public
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…
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