Mengjia Zhu's repositories
bo_pr
Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization
Language:PythonMIT000
casadi
CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.
edbo
Experimental Design via Bayesian Optimization_test
Language:Jupyter NotebookMIT000
mjzhu-p.github.io
Personal webpage
Language:JavaScriptMIT000
olympus
Olympus: a benchmarking framework for noisy optimization and experiment planning
Language:Jupyter NotebookMIT000
nn-zero-to-hero
Neural Networks: Zero to Hero
Language:Jupyter NotebookMIT000