llguo95

Single- & multi-fidelity Bayesian machine learning methods for reliable & robust data-driven parametric design. PhD candidate @ TU Delft

TU DelftDelft, Netherlands

Pinned Repositories

3dasm_course
Data-Driven Design & Analysis of Structures & Materials (3dasm)
Language:HTML00
botorch
Bayesian optimization in PyTorch
Language:Python00
COMPAS_simulation
Language:Jupyter Notebook00
FEopt
Language:Jupyter Notebook00
gpytorch
A highly efficient and modular implementation of Gaussian Processes in PyTorch
Language:Python00
MateriaakundeProject
Language:Jupyter Notebook00
OptProject
Language:Jupyter Notebook00
PINNsNTK
Language:Jupyter Notebook00
Python_Benchmark_Test_Optimization_Function_Single_Objective
Language:Python00
pythonplayground
Playground for Python package distribution and GitHub workings
Language:Makefile00

llguo95's Repositories

llguo95/3dasm_course
Data-Driven Design & Analysis of Structures & Materials (3dasm)
Language:HTML00
llguo95/botorch
Bayesian optimization in PyTorch
Language:Python00
llguo95/COMPAS_simulation
Language:Jupyter Notebook00
llguo95/FEopt
Language:Jupyter Notebook00
llguo95/gpytorch
A highly efficient and modular implementation of Gaussian Processes in PyTorch
Language:Python00
llguo95/MateriaakundeProject
Language:Jupyter Notebook00
llguo95/OptProject
Language:Jupyter Notebook00
llguo95/PINNsNTK
Language:Jupyter Notebook00
llguo95/Python_Benchmark_Test_Optimization_Function_Single_Objective
Language:Python00
llguo95/pythonplayground
Playground for Python package distribution and GitHub workings
Language:Makefile00
llguo95/XBART