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Predictive Science Laboratory's Projects

caffe icon caffe

Caffe: a fast open framework for deep learning.

cluster-opt-bgo icon cluster-opt-bgo

Bayesian Global Optimization for Minimum Energy Cluster Identification

gpy icon gpy

Gaussian processes framework in python

inverse-bgo icon inverse-bgo

Use Bayesian Global Optimization to solve inverse problems

jaxpi icon jaxpi

Forked version of jaxpi to be used in ME 697.

orthojax icon orthojax

Orthogonal polynomials (polynomial chaos) in Jax.

pift-paper-2023 icon pift-paper-2023

Physics-informed information field theory - Solve inverse problems with built-in model form uncertainty estimation

pslab icon pslab

Documentation on the labs codes

py-bgo icon py-bgo

An implementation Bayesian global optimization in Python

py-mcmc icon py-mcmc

A simple MCMC framework for training Gaussian processes adding functionality to GPy.

pymc icon pymc

PyMC: Bayesian Stochastic Modelling in Python

pysmc icon pysmc

Sequential Monte Carlo working on top of pymc

www2 icon www2

Predictive Science Laboratory - Website v2.0

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