Pinned Repositories
advanced-scientific-machine-learning
ME 697 - Advanced Scientific Machine Learning
data-analytics-se
ME 539 - Introduction to Scientific Machine Learning
inverse-bgo
Use Bayesian Global Optimization to solve inverse problems
pift-paper-2023
Physics-informed information field theory - Solve inverse problems with built-in model form uncertainty estimation
py-design
Design of random experiments in Python
py-mcmc
A simple MCMC framework for training Gaussian processes adding functionality to GPy.
py-orthpol
Construct orhogonal polynomials using Python
pysmc
Sequential Monte Carlo working on top of pymc
uq-course
Introduction to Uncertainty Quantification
variational-elliptic-SPDE
Predictive Science Laboratory's Repositories
PredictiveScienceLab/uq-course
Introduction to Uncertainty Quantification
PredictiveScienceLab/data-analytics-se
ME 539 - Introduction to Scientific Machine Learning
PredictiveScienceLab/pysmc
Sequential Monte Carlo working on top of pymc
PredictiveScienceLab/py-design
Design of random experiments in Python
PredictiveScienceLab/py-mcmc
A simple MCMC framework for training Gaussian processes adding functionality to GPy.
PredictiveScienceLab/py-orthpol
Construct orhogonal polynomials using Python
PredictiveScienceLab/inverse-bgo
Use Bayesian Global Optimization to solve inverse problems
PredictiveScienceLab/variational-elliptic-SPDE
PredictiveScienceLab/pift-paper-2023
Physics-informed information field theory - Solve inverse problems with built-in model form uncertainty estimation
PredictiveScienceLab/py-bgo
An implementation Bayesian global optimization in Python
PredictiveScienceLab/advanced-scientific-machine-learning
ME 697 - Advanced Scientific Machine Learning
PredictiveScienceLab/cluster-opt-bgo
Bayesian Global Optimization for Minimum Energy Cluster Identification
PredictiveScienceLab/py-aspgp
PredictiveScienceLab/GPy
Gaussian processes framework in python
PredictiveScienceLab/orthojax
Orthogonal polynomials (polynomial chaos) in Jax.
PredictiveScienceLab/paper-2023-inverse-map-karumuri
Code for the inverse map paper
PredictiveScienceLab/pyipopt
A Python connector to IPOPT
PredictiveScienceLab/paper-2023-strength-karumuri
PredictiveScienceLab/pslab
Documentation on the labs codes
PredictiveScienceLab/pymc
PyMC: Bayesian Stochastic Modelling in Python
PredictiveScienceLab/caffe
Caffe: a fast open framework for deep learning.
PredictiveScienceLab/jaxpi
Forked version of jaxpi to be used in ME 697.
PredictiveScienceLab/OrthogonalPolynomials.jl
Orthogonal polynomials with respect to arbitrary probability densities for Julia
PredictiveScienceLab/www
PredictiveScienceLab/www2
Predictive Science Laboratory - Website v2.0