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Name: Shuai Guo
Type: User
Company: ABB Corporate Research Switzerland
Bio: I am a data scientist specialized in statistical modeling and uncertainty analysis for reliable system design.
Location: Switzerland
Name: Shuai Guo
Type: User
Company: ABB Corporate Research Switzerland
Bio: I am a data scientist specialized in statistical modeling and uncertainty analysis for reliable system design.
Location: Switzerland
A walk through of applying an active learning strategy to efficiently train a Gaussian Process model.
Anomaly detection related books, papers, videos, and toolboxes
Project source code and data for uncertainty quantification on combustion instability prediction using a machine-learning-enhanced strategy
Training soft skills in data science with role-playing dual-chatbot simulations
Project source code and data for explainable machine-learning-based dimensionality reduction for fast uncertainty quantification.
A step-by-step tutorial to perform forward uncertainty quantification analysis using Monte Carlo method
Implementing a Gaussian Process regression model from scratch
A Gaussian Process package to train and exploit Gaussian Process models
Project source code and data for ML-enhanced risk analysis framework for combustion instability prediction
A collection of notebooks to illustrates the hypothetical outcome plots for uncertainty visualization.
A dual-chatbot system for learning languages based on LangChain
LLM-guided hyperparameter tuning
A hands-on tutorial of making animations using Matplotlib and Celluloid.
Project source code and data for machine-learning-enhanced risk mitigation strategies.
Project source code and data for multi-fidelity machine learning strategy for flame model identification
Implementing the Neural ODE approach for system identification and parameter estimation.
Implementing a physics-informed DeepONet from scratch
Discovering Differential Equations with Physics-Informed Neural Networks and Symbolic Regression
Using role-playing dual-chatbot system to digest scientifc research papers
Project source code and data for risk estimation with an imperfect Machine learning model
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
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.