Masahiro Nomura's Projects
Scala Evolutionary Computation Library
A Python implementation of global optimization with gaussian processes.
(CEC2023 Tutorial) Foundations and Recent Advances on Natural Evolution Strategies
(GECCO2023 Best Paper Nomination) CMA-ES with Learning Rate Adaptation
Lightweight Covariance Matrix Adaptation Evolution Strategy (CMA-ES) implementation for Python.
(CEC2022) Fast Moving Natural Evolution Strategy for High-Dimensional Problems
my dockerfiles
hyperband minimal implementation
Kalman Filter implementation by Scala and Python
Model-Based Descent Algorithm using Simplex Gradient
(CIKM2021) "Efficient Hyperparameter Optimization under Multi-Source Covariate Shift".
Nelder-Mead method implementation by Python
A Python toolbox for performing gradient-free optimization
A hyperparameter optimization framework
Examples for https://github.com/optuna/optuna
A registry of third-party Optuna packages
(EvoApps2022) "Towards a Principled Learning Rate Adaptation for Natural Evolution Strategies"
Open Bandit Pipeline: a python library for bandit algorithms and off-policy evaluation