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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
(Deprecated) Scikit-learn integration package for Apache Spark
This repository has been archived
(exclude archived)
Created
2015-09-02
265 commits to master branch, last one 5 years 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
A multi-platform desktop application to evaluate and compare LLM models, written in Rust and React.
Created
2023-12-26
552 commits to main branch, last one a day ago
Hyperparameter tuning for machine learning models using a distributed genetic algorithm
Created
2017-11-29
316 commits to develop branch, last one 2 months 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