Ecosyste.ms: Packages
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conda-forge.org "bayesian-optimization" keyword
arm-mango 1.2.0
Parallel Hyperparameter Tuning in Python1 version - Latest release: over 1 year ago - 269 stars on GitHub
approxposterior 0.4
This package is a Python implementation of Bayesian Active Learning for Posterior Estimation by K...4 versions - Latest release: over 4 years ago - 36 stars on GitHub
smac 1.4.0
SMAC is a tool for algorithm configuration to optimize the parameters of arbitrary algorithms acr...10 versions - Latest release: almost 2 years ago - 1 dependent package - 1 dependent repositories - 813 stars on GitHub
r-mlrmbo 1.1.5 💰
Toolbox for Bayesian Optimization and Model-Based Optimization in R5 versions - Latest release: over 3 years ago - 1 dependent package - 179 stars on GitHub
tune-sklearn 0.4.1
A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting ed...4 versions - Latest release: over 2 years ago - 1 dependent repositories - 429 stars on GitHub
pysot 0.3.3
pySOT is an asynchronous parallel optimization toolbox for global deterministic optimization prob...5 versions - Latest release: almost 4 years ago - 183 stars on GitHub
auto-sklearn 0.15.0
auto-sklearn is an automated machine learning toolkit and a drop-in replacement for a scikit-lear...11 versions - Latest release: over 1 year ago - 1 dependent package - 1 dependent repositories - 6,799 stars on GitHub
hpbandster 0.7.4
a distributed Hyperband implementation on Steroids1 version - Latest release: over 3 years ago - 1 dependent repositories - 563 stars on GitHub
bayesian-optimization 1.3.1
A Python implementation of global optimization with gaussian processes.5 versions - Latest release: over 1 year ago - 1 dependent package - 8 dependent repositories - 6,636 stars on GitHub
Related Keywords
hyperparameter-optimization
5
gaussian-processes
4
hyperparameter-tuning
4
automl
4
automated-machine-learning
3
optimization
3
hyperparameter-search
2
black-box-optimization
2
python
2
scikit-learn
2
simple
1
random-forest
1
neural-architecture-search
1
mlr
1
smac
1
metalearning
1
mlrmbo
1
meta-learning
1
model-based-optimization
1
surrogate-models
1
r
1
r-package
1
gridsearchcv
1
surrogate-based-optimization
1
asynchronous
1
global-optimization
1
global-optimization-algorithms
1
radial-basis-function
1
blackbox-optimization
1
cluster-deployment
1
keras-examples
1
kubernetes-deployment
1
machine-learning
1
neural-network
1
neural-networks
1
parallel-computing
1
production-system
1
pytorch-compatible
1
scipy-compatible
1
sklearn-compatible
1
tensorflow-examples
1
tuning-parameters
1
approximate-inference
1
bayesian-inference
1
inference
1
algorithm-configuration
1
bayesian-optimisation
1
configuration
1
gaussian-process
1