chengsfsu Goto Github PK
Name: Cheng
Type: User
Bio: earthquake engineering researcher
Location: San Francisco
Name: Cheng
Type: User
Bio: earthquake engineering researcher
Location: San Francisco
A fast Kriging-assisted evolutionary algorithm based on incremental learning
Coursera Course: Introduction to Programming 👩💻 with MATLAB ~by Vanderbilt University 🎓
Statistical learning methods, 统计学习方法 [李航] 值得反复读. [笔记, 代码, notebook, 参考文献, Errata]
Clearly explained notes of everything in The Little Book of Deep Learning.
Multi Fidelity Monte Carlo
Contains DLL executables and documentation for the modified Ibarra-Medina-Krawinkler deterioration models (Bilinear, Peak-Oriented, Pinching)
Simulation-based stochastic black-box optimization under uncertainty using Stochastic Kriging and Monte Carlo simulation
All code that forms a part of my thesis
Multi-task Gaussian Process
Multiple output Gaussian processes in MATLAB including the latent force model.
Neural parameter calibration for multi-agent models. Uses neural networks to estimate marginal densities on parameters and networks
Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
An open source textbook indented to cover the basics of mechanical vibrations. This text is intended to function as the only text required for a college (undergraduate) class on vibrations.
OpenCossan is an open and free toolbox for uncertainty quantification and management.
Machine learning of linear differential equations using Gaussian processes
Physics-DNN hybridized integration time stepper (demo)
Physics Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modelling
Physics-guided Convolutional Neural Network
We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.
Earthquake excitation signal analyses, Probability of structure collapse
Python and Jupyter notebooks about Fundamentals of Engineering Structural Dynamics.
Python Data Science Handbook: full text in Jupyter Notebooks
A collection of scripts to help with simulating the response of structures
Resilient Steel Structures Laboratory (RESSLab) Python Library
Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.
Tutorials for Sensitivity Analysis using SALib
传统自复位框架
Supporting calculations for the textbook Seismic Hazard and Risk Analysis
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.