There are no reviews yet. Be the first to send feedback to the community and the maintainers!
Surrogate_Optimization
A step-by-step guide for surrogate optimization using Gaussian Process surrogate modelGaussian-Process
Implementing a Gaussian Process regression model from scratchPI-DeepONet
Implementing a physics-informed DeepONet from scratchlanguage_learning_app
A dual-chatbot system for learning languages based on LangChainData-driven-High-dimensional-UQ-Analysis
Project source code and data for uncertainty quantification on combustion instability prediction using a machine-learning-enhanced strategyForward_UQ
A step-by-step tutorial to perform forward uncertainty quantification analysis using Monte Carlo methodPINN_symbolic_regression
Discovering Differential Equations with Physics-Informed Neural Networks and Symbolic RegressionGaussian-Process-Package
A Gaussian Process package to train and exploit Gaussian Process modelsLLM-guided-AutoML
LLM-guided hyperparameter tuningMulti-Fidelity-ML
Project source code and data for multi-fidelity machine learning strategy for flame model identificationdata_science_soft_skills_simulation
Training soft skills in data science with role-playing dual-chatbot simulationsneuralODE
Implementing the Neural ODE approach for system identification and parameter estimation.Hypothetical_Outcome_Plots
A collection of notebooks to illustrates the hypothetical outcome plots for uncertainty visualization.Active_Learning
A walk through of applying an active learning strategy to efficiently train a Gaussian Process model.AutoML_LLM_Agent
General-Risk-Analysis-Framework
Project source code and data for ML-enhanced risk analysis framework for combustion instability predictionMatplotllib_Animation_Tutorial
A hands-on tutorial of making animations using Matplotlib and Celluloid.Explainable-UQ-Analysis
Project source code and data for explainable machine-learning-based dimensionality reduction for fast uncertainty quantification.Love Open Source and this site? Check out how you can help us