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paulknysh

HN member

Joined: Thu, May 19, 2016, 2:39 PM UTC
HN karma: 9
Public activity: 18 items
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About paulknysh

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Recent public activity

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A Python module for parallel optimization of expensive black-box functions
Tue, Aug 13, 2019, 12:57 PM UTC
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Sym: A Mathematica package for generating symbolic models from data
Thu, Jan 31, 2019, 5:43 PM UTC
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A Python module for parallel optimization of expensive black-box functions
Wed, Jan 30, 2019, 3:00 PM UTC
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Shaper: A C++ tool for 3D reconstruction from parallel 2D sections
Tue, Jan 29, 2019, 3:40 PM UTC
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Sym: A Mathematica package for generating symbolic models from data
Wed, Oct 03, 2018, 5:26 PM UTC
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A Python module for parallel optimization of expensive black-box functions
Tue, Sep 04, 2018, 2:36 PM UTC
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Comment #16906794
https://github.com/paulknysh/blackbox - a tool for optimization of expensive black-box functions (numerical simulations etc)

Mon, Apr 23, 2018, 7:51 PM UTC
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Sym: A Mathematica package for generating symbolic models from data
Wed, Mar 07, 2018, 4:38 PM UTC
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A Python module for parallel optimization of expensive black-box functions
Wed, Feb 28, 2018, 3:57 PM UTC
story
A Mathematica package for generating symbolic models from data
Wed, Sep 13, 2017, 2:53 PM UTC
story
A Python module for parallel optimization of expensive black-box functions
Wed, Sep 06, 2017, 2:40 PM UTC
story
A Mathematica package for generating symbolic models from data
Wed, Jun 07, 2017, 1:35 PM UTC
story
A Python module for parallel optimization of expensive black-box functions
Wed, May 31, 2017, 3:38 PM UTC
story
A Mathematica package for generating symbolic models from data
Mon, Feb 27, 2017, 3:32 PM UTC
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A Python module for parallel optimization of expensive black-box functions
Mon, Feb 20, 2017, 4:11 PM UTC
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A Mathematica package for parallel symbolic regression using Monte Carlo
Tue, Nov 22, 2016, 1:35 PM UTC
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A Python module for parallel optimization of expensive black-box functions
Mon, Oct 31, 2016, 1:58 PM UTC
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A Python module for parallel optimization of expensive black-box functions
Thu, May 19, 2016, 2:40 PM UTC