ShuaiGuo16/neuralODE

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Created 11 months ago
Updated 11 months ago

ShuaiGuo16/neuralODE

ShuaiGuo16

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Implementing the Neural ODE approach for system identification and parameter estimation.

Surrogate_Optimization

A step-by-step guide for surrogate optimization using Gaussian Process surrogate model

Jupyter Notebook

Gaussian-Process

Implementing a Gaussian Process regression model from scratch

Jupyter Notebook

PI-DeepONet

Implementing a physics-informed DeepONet from scratch

Jupyter Notebook

language_learning_app

A dual-chatbot system for learning languages based on LangChain

Data-driven-High-dimensional-UQ-Analysis

Project source code and data for uncertainty quantification on combustion instability prediction using a machine-learning-enhanced strategy

research_paper_digesting_with_dual_chatbot

Using role-playing dual-chatbot system to digest scientifc research papers

Jupyter Notebook

Forward_UQ

A step-by-step tutorial to perform forward uncertainty quantification analysis using Monte Carlo method

Jupyter Notebook

PINN_symbolic_regression

Discovering Differential Equations with Physics-Informed Neural Networks and Symbolic Regression

Jupyter Notebook

Gaussian-Process-Package

A Gaussian Process package to train and exploit Gaussian Process models

Jupyter Notebook

LLM-guided-AutoML

LLM-guided hyperparameter tuning

Jupyter Notebook

Multi-Fidelity-ML

Project source code and data for multi-fidelity machine learning strategy for flame model identification

data_science_soft_skills_simulation

Training soft skills in data science with role-playing dual-chatbot simulations

Jupyter Notebook

Hypothetical_Outcome_Plots

A collection of notebooks to illustrates the hypothetical outcome plots for uncertainty visualization.

Jupyter Notebook

Active_Learning

A walk through of applying an active learning strategy to efficiently train a Gaussian Process model.

Jupyter Notebook

AutoML_LLM_Agent

General-Risk-Analysis-Framework

Project source code and data for ML-enhanced risk analysis framework for combustion instability prediction

Matplotllib_Animation_Tutorial

A hands-on tutorial of making animations using Matplotlib and Celluloid.

Jupyter Notebook

Explainable-UQ-Analysis

Project source code and data for explainable machine-learning-based dimensionality reduction for fast uncertainty quantification.