A toolset for black-box hyperparameter optimisation.
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Jan 26, 2020 - Python
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gpyopt
Here are 8 public repositories matching this topic...
Using Bayesian Optimization to optimize hyper parameter in Keras-made neural network model.
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Mar 20, 2018 - Jupyter Notebook
Bayesian Optimization for Categorical and Continuous Inputs
machine-learning
optimization
thompson-sampling
hyperparameter-optimization
hyperopt
gaussian-processes
bayesian-optimization
multi-armed-bandits
hyperparameter-tuning
automl
automated-machine-learning
smac
categorical-variables
continuous-variable
acquisition-functions
gpyopt
batch-bayesian-optimization
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Jul 20, 2020 - Python
Bayesian Optimization-Based Global Optimal Rank Selection for Compression of Convolutional Neural Networks, IEEE Access
cnn
pytorch
bayesopt
convolutional-neural-networks
bayesian-optimization
tensorly
tucker
model-compression
cnn-compression
network-acceleration
rank-selection
model-acceleration
neural-network-compression
gpyopt
low-rank
network-compression-acceleration
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Mar 21, 2021 - Python
Gaussian process optimization using GPyOpt for Unity ML-Agents Toolkit
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Jul 23, 2018 - Python
Assignment Solutions of Bayesian Methods for Machine Learning Coursera
tensorflow
numpy
bayesian-methods
expectation-maximization
vae
mcmc
pymc3
bayesian-statistics
gpyopt
gpy
gpyot
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May 16, 2020 - Jupyter Notebook
Group project for my CST Part III Machine Learning and the Physical World (L48) module
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Feb 27, 2022 - Python
Assembly Checker(Mobilenetv2-ssdlite + BayesianOptimization)
machine-learning
deep-learning
dtw
kalman-filter
handtracking
mobilenetv2-ssdlite
bayesianoptimization
gpyopt
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Jul 3, 2019 - Jupyter Notebook
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