7 results found Sort:

LiYangHart
Hyperparameter-Optimization-of-Machine-Learning-Algorithms LiYangHart
303
1.3k
mit
88
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
hpo automl 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 automated-machine-learning hyperparameter-optimization machine-learning-algorithms particle-swarm-optimization machine-learning-optimization
Created 2020-07-23
40 commits to master branch, last one 2 years ago
SimonBlanke
Gradient-Free-Optimizers SimonBlanke
89
1.2k
mit
21
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
948 commits to master branch, last one 20 days ago
williamFalcon
test-tube williamFalcon
74
735
mit
24
Python library to easily log experiments and parallelize hyperparameter search for neural networks
caffe keras caffe2 chainer pytorch tensorflow grid-search data-science deep-learning random-search neural-networks machine-learning hyperparameter-optimization
Created 2017-09-06
642 commits to master branch, last one 5 years ago
Evolutionary-Intelligence
pypop Evolutionary-Intelligence
35
236
gpl-3.0
7
[JMLR (CCF-A)] PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* variants (including evolutionary algorithms, swarm-based randomized optimizers,...
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
8,174 commits to main branch, last one 10 hours ago
JuliaAI
MLJTuning.jl JuliaAI
12
66
mit
7
Hyperparameter optimization algorithms for use in the MLJ machine learning framework
mlj julia grid-search random-search machine-learning hyperparameter-optimization
Created 2020-01-14
659 commits to dev branch, last one 9 months ago
fra31
sparse-rs fra31
6
45
mit
5
Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks
l0 random-search sparse-attacks black-box-attacks adversarial-frames adversarial-attacks adversarial-patches
Created 2020-06-19
22 commits to master branch, last one 3 years ago
sibirbil
marsopt sibirbil
0
29
mit
2
Mixed Adaptive Random Search (MARS) for Optimization
python optimization random-search machine-learning blackbox-optimization hyperparameter-tuning hyperparameter-optimization
Created 2025-02-13
141 commits to main branch, last one about a month ago