@PredictiveScienceLab

Predictive Science Laboratory

Software developed by PSL

  • Introduction to Uncertainty Quantification

    Jupyter Notebook 33 32 MIT Updated Aug 28, 2018
  • Construct orhogonal polynomials using Python

    Fortran 13 12 LGPL-2.1 Updated Aug 17, 2018
  • Python 3 Updated Oct 31, 2016
  • Sequential Monte Carlo working on top of pymc

    Python 41 10 LGPL-3.0 Updated Jun 24, 2016
  • A Python connector to IPOPT

    C 2 56 Updated May 3, 2016
  • Documentation on the labs codes

    1 Updated Feb 29, 2016
  • caffe

    Forked from BVLC/caffe

    Caffe: a fast open framework for deep learning.

    C++ 16,123 Updated Feb 22, 2016
  • An implementation Bayesian global optimization in Python

    Python 5 2 MIT Updated Feb 14, 2016
  • Gaussian processes framework in python

    Python 2 318 BSD-3-Clause Updated Jan 22, 2016
  • Orthogonal polynomials with respect to arbitrary probability densities for Julia

    Julia Updated Sep 12, 2015
  • Bayesian Global Optimization for Minimum Energy Cluster Identification

    Python 3 1 MIT Updated Jul 20, 2015
  • Use Bayesian Global Optimization to solve inverse problems

    Python 4 4 MIT Updated Jul 20, 2015
  • PyMC: Bayesian Stochastic Modelling in Python

    Fortran 1 208 AFL-3.0 Updated Jul 15, 2015
  • A simple MCMC framework for training Gaussian processes adding functionality to GPy.

    Python 12 6 LGPL-3.0 Updated Dec 4, 2014
  • Design of random experiments in Python

    Fortran 13 4 LGPL-2.1 Updated Dec 3, 2014

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