1.optuna / optuna
A hyperparameter optimization framework
- python
- machine-learning
- parallel
- distributed
- hyperparameter-optimization
+978 stars
from 14,033 · score 6.89
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2.microsoft / nniArchived
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
- automl
- deep-learning
- neural-architecture-search
- hyperparameter-optimization
- distributed
- bayesian-optimization
- +14 more
+82 stars
from 14,282 · score 4.42
3.rodrigo-arenas / Sklearn-genetic-opt
Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.
- python
- scikit-learn
- machine-learning
- artificial-intelligence
- model-selection
- hyperparameter-optimization
- +9 more
+37 stars
from 354 · score 3.64
4.c-bata / goptuna
A hyperparameter optimization framework, inspired by Optuna.
- bayesian-optimization
- bandit-algorithms
- evolution-strategies
- blackbox-optimization
+7 stars
from 275 · score 2.08
5.microsoft / archai
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
- python
- pytorch
- machine-learning
- deep-learning
- neural-architecture-search
- nas
- +6 more
+5 stars
from 483 · score 1.79
6.autonomio / talos
Hyperparameter Experiments with TensorFlow and Keras
- deep-learning
- keras
- keras-tensorflow
- hyperparameter-optimization
- artificial-intelligence
- tensorflow
+4 stars
from 1,631 · score 1.61
7.maxpumperla / hyperas
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
- hyperopt
- keras
- hyperparameter-optimization
+3 stars
from 2,171 · score 1.39
8.rsteca / sklearn-deap
Use evolutionary algorithms instead of gridsearch in scikit-learn
+2 stars
from 770 · score 1.10