Shuai Guo's repositories
LLM-guided-AutoML
LLM-guided hyperparameter tuning
data_science_soft_skills_simulation
Training soft skills in data science with role-playing dual-chatbot simulations
research_paper_digesting_with_dual_chatbot
Using role-playing dual-chatbot system to digest scientifc research papers
PINN_symbolic_regression
Discovering Differential Equations with Physics-Informed Neural Networks and Symbolic Regression
PI-DeepONet
Implementing a physics-informed DeepONet from scratch
language_learning_app
A dual-chatbot system for learning languages based on LangChain
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
Gaussian-Process-Package
A Gaussian Process package to train and exploit Gaussian Process models
Gaussian-Process
Implementing a Gaussian Process regression model from scratch
Explainable-UQ-Analysis
Project source code and data for explainable machine-learning-based dimensionality reduction for fast uncertainty quantification.
General-Risk-Analysis-Framework
Project source code and data for ML-enhanced risk analysis framework for combustion instability prediction
ML-Enhanced-Robust-Design
Project source code and data for machine-learning-enhanced risk mitigation strategies.
Data-driven-High-dimensional-UQ-Analysis
Project source code and data for uncertainty quantification on combustion instability prediction using a machine-learning-enhanced strategy
Risk-Estimation-With-Imperfect-ML-Model
Project source code and data for risk estimation with an imperfect Machine learning model
Multi-Fidelity-ML
Project source code and data for multi-fidelity machine learning strategy for flame model identification
ShuaiGuo16.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Forward_UQ
A step-by-step tutorial to perform forward uncertainty quantification analysis using Monte Carlo method
Active_Learning
A walk through of applying an active learning strategy to efficiently train a Gaussian Process model.
Matplotllib_Animation_Tutorial
A hands-on tutorial of making animations using Matplotlib and Celluloid.
Hypothetical_Outcome_Plots
A collection of notebooks to illustrates the hypothetical outcome plots for uncertainty visualization.
Surrogate_Optimization
A step-by-step guide for surrogate optimization using Gaussian Process surrogate model