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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
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
Created
2023-03-01
1,628 commits to main branch, last one 5 days ago
Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
Created
2021-05-25
50 commits to main branch, last one about a year ago
Ontology for the description of human clinical features
Created
2015-08-19
8,139 commits to master branch, last one 3 days ago
An automatic ML model optimization tool.
Created
2019-09-12
79 commits to master branch, last one 3 years ago
[NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
Created
2021-11-05
9 commits to main branch, last one about a year ago
Automatic machine learning for tabular data. ⚡🔥⚡
Created
2021-05-07
360 commits to main branch, last one 3 years ago
Phenotype comparison tools using semantic similarity.
Created
2019-09-09
475 commits to master branch, last one about a year ago
PhenoTagger
Created
2020-09-18
52 commits to master branch, last one about a year ago