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Name: Lemn
Type: User
Name: Lemn
Type: User
Optimization and Uncertainty Project 1
Modelling and Optimization Under Uncertainty
This is a compact code for reliability analysis under uncertainty using a Polynomial Regression Machine Learning approach. The code implements a stochastic response surface method (SRSM) which quantifies the uncertainty in a performance function for the purpose of reliability-based design optimization (RBDO).
Matlab Code to Implement the Adaptive Annealed Importance Sampling (AAIS) Algorithm
ABAQUS subroutines
About Bayesian Optimization of fracture parameters in extended modified Bai–Wierzbicki (eMBW) model to fit fracture locus on force displacement curves
Generates RVE with periodic boundary conditions
A repository of ABAQUS FORTRAN subroutines
Adaptive importance sampling (exploiting mirror descent) is used for estimation of a probability of being out of polytope
MIVor: An innovative adaptive Kriging approach for efficient problem classification.
Automatic gradient descent
My version of AK-MCS in Matlab, DACE toolbox is also provided but it is not mine.
AK-MHIS: an adaptive Kriging method with a multi-layered hyperball-based importance sampling ;struct reliability
an active-learning method for reliability analysis based on multi-fidelity kriging model
community_management
Code used to simulate boundary value problems shown in the submitted paper - Assessing the role of non-linear contact mechanics for flow in fractures
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
A tutorial on Bayesian inference to identify material parameters in solid mechanics
Bayesian Deep Learning: A Survey
Bayesian neural networks via MCMC: tutorial
研究盐水冰的断裂力学,并开发了模型
Repo for RBDO under statistical uncertainty
锂电池数据集 CALCE
Stochastic Optimization, Learning, Uncertainty and Sampling
First-principles statistical mechanical software for the study of multi-component crystalline solids
Code de l'entrée et du séjour des étrangers et du droit d'asile
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.