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15 search results found

Gradient Free Optimizers ⭐ 1,072

Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.

Hyperparameter Optimization Of Machine Learning Algorithms ⭐ 1,025

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

Test Tube ⭐ 719

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 their *Large-Scale* versions/variants. https://pypop.rtfd.io/

Hyper Engine ⭐ 69

Python library for Bayesian hyper-parameters optimization

Mljtuning.jl ⭐ 65

Hyperparameter optimization algorithms for use in the MLJ machine learning framework

Spark Parameter Optimization and Tuning

Square Attack ⭐ 27

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

Sparse Rs ⭐ 21

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

Mlr3fselect ⭐ 17

Feature selection package of the mlr3 ecosystem.

Hyperparameters Optimization ⭐ 14

Hyperparameters-Optimization

Tensorcross ⭐ 11

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

Ithakaboardgame ⭐ 10

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

The python implementation of Partition-based Random Search for stochastic multi-objective optimization via simulation

Decision_tree_grid_search ⭐ 5

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

1-15 of 15 search results

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