nomuramasahir0

crfmnes

(CEC2022) Fast Moving Natural Evolution Strategy for High-Dimensional Problems

MS-CS

(CIKM2021) "Efficient Hyperparameter Optimization under Multi-Source Covariate Shift".

neldermead

Nelder-Mead method implementation by Python

cma-learning-rate-adaptation

(GECCO2023 Best Paper Nomination & ACM TELO) CMA-ES with Learning Rate Adaptation

cec2023-tutorial

(CEC2023 Tutorial) Foundations and Recent Advances on Natural Evolution Strategies

hyperband_sandbox

hyperband minimal implementation

asap

Scala Evolutionary Computation Library

cmaes

Lightweight Covariance Matrix Adaptation Evolution Strategy (CMA-ES) implementation for Python.

xnes-adaptive-lr

(EvoApps2022) "Towards a Principled Learning Rate Adaptation for Natural Evolution Strategies"

BayesianOptimization

A Python implementation of global optimization with gaussian processes.

dockerfiles

my dockerfiles

kalman-filter

Kalman Filter implementation by Scala and Python

mlcamp

model-based-dfo

Model-Based Descent Algorithm using Simplex Gradient

nevergrad

A Python toolbox for performing gradient-free optimization

optuna

A hyperparameter optimization framework

optuna-examples

Examples for https://github.com/optuna/optuna

optunahub-registry

A registry of third-party Optuna packages

zr-obp

Open Bandit Pipeline: a python library for bandit algorithms and off-policy evaluation