random-search

#计算机科学#Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

#计算机科学#Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.

#计算机科学#Python library to easily log experiments and parallelize hyperparameter search for neural networks

[JMLR (CCF-A)] PyPop7: A Pure-PYthon LibrarY for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* algorithm variants (from evolutionary computation, swarm intelligence, statisti...

Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]

#计算机科学#Python library for Bayesian hyper-parameters optimization

Heuristic Optimization for Python

#计算机科学#Hyperparameter optimization algorithms for use in the MLJ machine learning framework

Tuning the Parameters of Heuristic Optimizers (Meta-Optimization / Hyper-Parameter Optimization)

Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks

#计算机科学#Feature selection package of the mlr3 ecosystem.

#计算机科学#Spark Parameter Optimization and Tuning

#计算机科学#Mixed Adaptive Random Search (MARS) for Optimization

#计算机科学#Different hyperparameter optimization methods to get best performance for your Machine Learning Models

Hyperparameters-Optimization

Cross Validation, Grid Search and Random Search for TensorFlow 2 Datasets

#学习与技能提升#A simple JAX-based implementation of random search for locomotion tasks using MuJoCo XLA (MJX).

Implementation of Grid Search to find better hyper-parameters for decision tree to reduce the over fitting.

Ithaka board game is played on a four by four square grid with three pieces in each of four colors.

Archive of my older research papers on optimization