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        "author": "Pablo Ribalta Lorenzo",
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        "description": "# fastPSO\n\n[![Build Status](https://travis-ci.org/pribalta/fastPSO.svg?branch=master)](https://travis-ci.org/pribalta/fastPSO)\n\nFast parallel Particle Swarm Optimization package for Python\n\n__fastPSO__ is an open source software library for Particle Swarm Optimization built with two goals in mind:\n  * Speed\n  * Parallelism\n\nIts flexible architecture enables you to define complex objective functions, and to perform optimization in a __serial__ or __parallel__ setting. In addition, it offers detailed insights on the optimization process, helping practitioners profile their results.\n\n## Installation\n\n__pip__ __package__\n\n```\npip install fastpso\n```\n\n### Requirements\n\n  * numpy\n\n## Getting started\n\ntbd\n\n## License\n\n__fastPSO__ is available under *MIT License*\n\nIf you plan on using this software for scientific purposes, please cite our work:\n```\n@inproceedings{lorenzo2017particle,\n  title={Particle swarm optimization for hyper-parameter selection in deep neural networks},\n  author={Lorenzo, Pablo Ribalta et al.},\n  booktitle={Proceedings of the Genetic and Evolutionary Computation Conference},\n  pages={481--488},\n  year={2017},\n  organization={ACM}\n}\n```\n```\n@inproceedings{lorenzo2017hyper,\n  title={Hyper-parameter selection in deep neural networks using parallel particle swarm optimization},\n  author={Lorenzo, Pablo Ribalta et al.},\n  booktitle={Proceedings of the Genetic and Evolutionary Computation Conference Companion},\n  pages={1864--1871},\n  year={2017},\n  organization={ACM}\n}\n```\n\n\n\n\n\n",
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