1.optuna / optuna
A hyperparameter optimization framework
- python
- machine-learning
- parallel
- distributed
- hyperparameter-optimization
+432 stars
from 14,579 · score 6.07
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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
+23 stars
from 14,341 · score 3.18
3.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
4.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
+4 stars
from 484 · score 1.61
5.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
+4 stars
from 387 · score 1.61
6.maxpumperla / hyperas
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
- hyperopt
- keras
- hyperparameter-optimization
+3 stars
from 2,171 · score 1.39
7.c-bata / goptuna
A hyperparameter optimization framework, inspired by Optuna.
- bayesian-optimization
- bandit-algorithms
- evolution-strategies
- blackbox-optimization
+3 stars
from 279 · score 1.39
8.rsteca / sklearn-deap
Use evolutionary algorithms instead of gridsearch in scikit-learn
+1 stars
from 771 · score 0.69