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
100-Days-Of-ML-Code中文版
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).
Aircraft design optimization made fast through modern automatic differentiation. Composable analysis tools for aerodynamics, propulsion, structures, trajectory design, and much more.
an active-learning method for reliability analysis based on multi-fidelity kriging model
Matlab codes for Arbitrary Polynomial Chaos Expansion
Applied Deep Learning Course
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
Bayesian Experimental Design Coupling with Multi-fidelity Gaussian Processes (co-kriging) for Estimation of Hydraulic Conductivity in a Watershed
Companion webpage for the book "Bayesian Optimization" by Roman Garnett
Bayesian Compressive Sensing and Multi-task Compressive Sensing
使用BP神经网络、RBF神经网络以及PSO优化的RBF神经网络进行数据的预测
This Matlab code implements the developed collapse-consistent protocols for experimental testing of steel columns under cyclic loading
Course Files for Complete Python 3 Bootcamp Course on Udemy
IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by J. Nathan Kutz and Steven L. Brunton
Codes for testing the Deep Euler Method
Deep convolutional neural networks for random field uncertainty propagation
Deep LSTM for highly nonlinear system modeling
Eclipse Ditto™ Project
An integrated water-power-transportation model for network simulations.
A Python-based toolbox of various methods in uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
Physics-informed learning of governing equations from scarce data
Earthquake Responses prediction using Deep learning and Database
The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。
Open-source MATLAB-based computational platform for modeling and analyzing steel frame buildings in OpenSEES.
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.