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Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
hpo
knn
svm
hyperband
grid-search
optimization
deep-learning
random-forest
random-search
python-samples
python-examples
machine-learning
genetic-algorithm
tuning-parameters
bayesian-optimization
hyperparameter-tuning
artificial-neural-networks
hyperparameter-optimization
machine-learning-algorithms
particle-swarm-optimization
Created
2020-07-23
40 commits to master branch, last one 2 years ago
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
hyperactive
nelder-mead
optimization
hill-climbing
random-search
meta-heuristic
machine-learning
simulated-annealing
evolution-strategies
bayesian-optimization
blackbox-optimization
constrained-optimization
tree-of-parzen-estimator
gradient-free-optimization
hyperparameter-optimization
particle-swarm-optimization
Created
2020-04-04
937 commits to master branch, last one 14 days ago
Python library to easily log experiments and parallelize hyperparameter search for neural networks
Created
2017-09-06
642 commits to master branch, last one 4 years ago
[***JMLR-2024***] PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* versions/variants (e.g., evolutionary algorithms, swarm-based optimizers, pa...
direct-search
random-search
genetic-algorithms
global-optimization
evolution-strategies
black-box-optimization
differential-evolution
nonlinear-optimization
numerical-optimization
continuous-optimization
evolutionary-algorithms
optimization-algorithms
large-scale-optimization
zeroth-order-optimization
gradient-free-optimization
particle-swarm-optimization
consensus-based-optimization
derivative-free-optimization
population-based-optimization
estimation-of-distribution-algorithms
Created
2021-01-26
7,788 commits to main branch, last one 8 days ago
Hyperparameter optimization algorithms for use in the MLJ machine learning framework
Created
2020-01-14
659 commits to dev branch, last one 5 months ago
Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks
Created
2020-06-19
22 commits to master branch, last one 2 years ago