geofiber Goto Github PK

ad-scal

adcme.jl

Automatic Differentiation Library for Computational and Mathematical Engineering

ae

Python acoustic emission tools

aesara

Aesara is a fork of the Theano library that is maintained by the PyMC developers. It was previously named Theano-PyMC.

albany

Sandia National Laboratories' Albany multiphysics code

amanzi

Amanzi primary repository

anisot3d

Elastic VTI 3D finite differences modeling

anova-mop_code

ANOVAMOP: An interactive/non-interactive surrogate-based method for solving high-dimensional computationally expensive multiobjective optimization problems

ar-pde-cnn

Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs

athena

ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis

azurehpc

This repository provides easy automation scripts for building a HPC environment in Azure. It also includes examples to build e2e environment and run some of the key HPC benchmarks and applications.

bayes-tomo

Bayesian Eikonal Tomography

bayesian_optimization

Bayesian optimization

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

bbfmm2d

Blackbox FMM in 2D

bbfmm3d

bda_course_aalto

Bayesian Data Analysis course at Aalto

biot

Fenics scripts to solve Biot system

blackbox

A Python module for parallel optimization of expensive black-box functions

blitz-bayesian-deep-learning

A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

bristolstockexchange

BSE is a simple minimal simulation of a limit order book financial exchange

caae-drdcn-inverse

Deep residual networks for dimensionality reduction and surrogate modeling in high-dimensional inverse problems

cbrain-cam

Code for neural network parameterization project

cinn

Contains the code and model examples for the paper "Learning complex stochastic models with invertible neural networks: a new approach to Bayesian inference"

cnn-inversion

Deep autoregressive neural networks for high-dimensional inverse problems

cnn-surrogate

Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification

cnn_vti_inversion

Determination of the elastic parameters of a VTI medium from sonic logging data using deep learning

comob-toolbox

COMOB (COntaminat MOnitoring in Buildings), a MATLAB toolbox which encapsulates the CONTAM computational engine for generating multiple data sets by varying different building parameters. State-of-the-art algorithms for sensor placement, detection and isolation of contaminant sources are also incorporated into the COMOB toolbox.

compfinance

Companion code for "Modern Computational Finance: AAD and Parallel Simulations" (Antoine Savine, Wiley, 2018)

convnetquake

Convolutional Neural Network for Earthquake detection and location