The official implementation of our paper "CoRe^2: Collect, Reflect and Refine to Generate Better and Faster".
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Mar 19, 2025 - Python
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effective
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Symbolic Perturbation Theory (SymPT) is a Python package for symbolic perturbative transformations on quantum systems. SymPT helps compute effective Hamiltonians for both time-independent and time-dependent systems at both operator and matrix level.
quantum hamiltonian effective diagonalization perturbation perturbation-theory unitary block-diagonalization schrieffer-wolff
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Jun 12, 2025 - Python
(version 2018) Toolbox for estimation and interpretation of whole-brain linear effective connectivity
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Nov 8, 2019 - Python
Kanji words visualization graph draws relational graph for kanjis of particular words in Japanese. Aim is to understand the relational graph of one kanji within different words and it's relations to all possible words.
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Apr 29, 2025 - Python
Cartesian Product - 6x faster than itertools.product - 10x less memory
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Dec 3, 2023 - Python
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