#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.
翻译 - 在数值离散搜索空间中的本地，全局，基于人口和顺序技术的简单可靠优化。
#计算机科学#Python library to easily log experiments and parallelize hyperparameter search for neural networks
PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* variants (including evolutionary algorithms, swarm-based randomized optimizers, pattern search...
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#Spark Parameter Optimization and Tuning
#计算机科学#Mixed Adaptive Random Search (MARS) for Optimization
#计算机科学#Feature selection package of the mlr3 ecosystem.
#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
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.
#学习与技能提升#A simple JAX-based implementation of random search for locomotion tasks using MuJoCo XLA (MJX).
The python implementation of Partition-based Random Search for stochastic multi-objective optimization via simulation