jonmaddock

jonmaddock's Stars

• SALib/SALib

  Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.

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• esa/pagmo2

  A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

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• piceaTech/node-gitlab-2-github

  Migrate Issues, milestones etc from gitlab to github

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• esa/pygmo2

  A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

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• ashafaei/pdf2pptx

  Convert your (Beamer) PDF slides to (Powerpoint) PPTX

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• snl-dakota/dakota

  The core Dakota project

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• UCL-CCS/EasyVVUQ

  Python 3 framework to facilitate verification, validation and uncertainty quantification (VVUQ) for a wide variety of simulations.

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• Fusion-Power-Plant-Framework/bluemira

  Bluemira is an integrated inter-disciplinary design tool for future fusion reactors. It incorporates several modules, some of which rely on other codes, to carry out a range of typical conceptual fusion reactor design activities.

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• ukaea/PROCESS

  PROCESS is a systems code at UKAEA that calculates in a self-consistent manner the parameters of a fusion power plant with a specified performance, ensuring that its operating limits are not violated, and with the option to optimise to a given function of these parameters.

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• pszufe/2024_MIT_18.S097_Introduction-to-Julia-for-Data-Science

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• FriesischScott/UncertaintyQuantification.jl

  Uncertainty Quantification in Julia

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• snl-dakota/dakota-examples

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• Institute-for-Risk-and-Uncertainty/pba-for-python

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• ukaea/scientific-python-cookiecutter

  A tutorial and 'cookiecutter' template for scientific Python libraries

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• jonmaddock/easyVVUQ-process

  Using the EasyVVUQ Uncertainty Quantification package with the PROCESS fusion power plant systems code.

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• jonmaddock/process-fork

  PROCESS fork, mainly for Uncertainty Quantification experiments.

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