PySA is an extensible platform to optimize classical cost function.
PySA is a heuristic solver that does not provide bounds or guarantees on optimality of solutions.
Tutorials on how to use PySA can be found in pysa/tutorials.
Salvatore Mandrà (PySA core)
Humberto Munoz-Bauza (PySA core)
Ata Akbari Asanjan (Restricted Boltzmann Machine)
Lucas Brady (Restricted Boltzmann Machine)
Aaron Lott (Restricted Boltzmann Machine)
David Bernal Neira (Hyper Parameters Optimization)
PySA provides multiple modules that can be independently installed:
- Generator of Random McEliece instances (pysa-mceliece)
- Stern Algorithm to solve unstructured decoding problems (pysa-stern)
- Branch-and-Bound Library with Workload Autobalance Between Threads and Nodes (pysa-branching)
- WalkSAT algorithm for SAT problems (pysa-walksat)
- DPLL Implementation for SAT based on
pysa-braching(pysa-dpll)
PySA can be installed by using pip directly from the GitHub
repository:
pip install git+https://github.com/nasa/pysa
using a zip file:
pip install pysa.zip
or by using conda:
conda env create -f envinronment.yml
See NOSA.
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Copyright © 2023, United States Government, as represented by the Administrator of the National Aeronautics and Space Administration. All rights reserved.
The PySA, a powerful tool for solving optimization problems is licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0.
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