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bayesian-optimization
Here are 196 public repositories matching this topic...
1
mfeurer
commented
Feb 4, 2019
with the Power Transformer.
A Python implementation of global optimization with gaussian processes.
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Updated
Jul 13, 2020 - Python
Sequential model-based optimization with a `scipy.optimize` interface
python
machine-learning
binder
optimization
scientific-computing
bayesopt
gradient
bayesian-optimization
hyperparameter
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Updated
Jul 7, 2020 - Python
Notebooks about Bayesian methods for machine learning
machine-learning
bayesian-methods
gaussian-processes
bayesian-optimization
bayesian-machine-learning
variational-autoencoder
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Updated
Aug 19, 2020 - Jupyter Notebook
A modular active learning framework for Python
python
machine-learning
scikit-learn
machine-learning-algorithms
machine-learning-library
machine-learning-api
bayesian-optimization
active-learning
active-learning-module
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Updated
Jul 31, 2020 - Python
Sequential Model-based Algorithm Configuration
configuration
hyperparameter-optimization
bayesian-optimization
hyperparameter-tuning
automl
automated-machine-learning
hyperparameter-search
bayesian-optimisation
algorithm-configuration
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Updated
Aug 20, 2020 - Python
Experimental Global Optimization Algorithm
optimization
hyperparameter-optimization
global-optimization
bayesian-optimization
blackbox-optimization
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Updated
Jan 29, 2018 - Python
a distributed Hyperband implementation on Steroids
hyperparameter-optimization
bayesian-optimization
automl
automated-machine-learning
neural-architecture-search
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Updated
Apr 30, 2020 - Python
A Python-based toolbox of various methods in uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
python
machine-learning
emulation
decision-making
uncertainty-quantification
sensitivity-analysis
bayesian-optimization
experimental-design
bayesian-quadrature
multi-fidelity
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Updated
Jul 16, 2020 - Python
Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
machine-learning
deep-learning
keras
hyperparameter-optimization
machine-learning-library
bayesian-optimization
hyperparameter-tuning
hyperparameter-search
hyperparameter-grid
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Aug 6, 2020 - JavaScript
Bayesian Optimization using GPflow
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Jun 30, 2020 - Python
A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
machine-learning
optimization
hyperparameter-optimization
bayesian
gaussian-processes
bayesian-optimization
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Updated
Feb 4, 2020 - C++
Toolbox for Bayesian Optimization and Model-Based Optimization in R
r
optimization
hyperparameter-optimization
r-package
mlr
model-based-optimization
black-box-optimization
bayesian-optimization
mlrmbo
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Aug 20, 2020 - R
Anomaly detection for temporal data using LSTMs
deep-learning
time-series
recurrent-neural-networks
lstm
neural-networks
bayesian-optimization
lstm-neural-networks
anomaly-detection
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Nov 27, 2018 - Jupyter Notebook
Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB
matlab
bayesian-optimization
optimization-algorithms
log-likelihood
noiseless-functions
noisy-functions
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Sep 13, 2019 - MATLAB
c-bata
commented
Apr 21, 2020
Implementation of many hyperparameter optimization/tuning methods for machine learning algorithms in Python (easy&clear)
machine-learning
random-forest
optimization
svm
genetic-algorithm
sklearn
machine-learning-algorithms
hyperparameter-optimization
grid-search
tuning-parameters
knn
bayesian-optimization
hyperparameter-tuning
random-search
particle-swarm-optimization
hpo
python-examples
python-samples
hyperband
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Updated
Aug 12, 2020 - Jupyter Notebook
A lightweight framework for Gaussian processes and Bayesian optimization of black-box functions (C++-11)
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Updated
Aug 14, 2020 - C++
A toolset for black-box hyperparameter optimisation.
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Updated
Jan 26, 2020 - Python
Neural Architecture Search with Bayesian Optimisation and Optimal Transport
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Updated
Jan 28, 2019 - Python
BOPP: Bayesian Optimization for Probabilistic Programs
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Updated
Nov 9, 2017 - Clojure
Surrogate Optimization Toolbox for Python
asynchronous
optimization
global-optimization
black-box-optimization
gaussian-processes
bayesian-optimization
radial-basis-function
global-optimization-algorithms
surrogate-models
surrogate-based-optimization
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Jun 23, 2020 - Jupyter Notebook
A fully decentralized hyperparameter optimization framework
optimization
parallelism
hyperparameter-optimization
bayesian-optimization
cmaes
conditional-search-space
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Aug 7, 2019 - Python
GPstuff - Gaussian process models for Bayesian analysis
regression
octave
classification
survival-analysis
bayesian
spatial-analysis
bayesian-inference
expectation-propagation
mcmc
gaussian-processes
variational-inference
bayesian-optimization
covariance-functions
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Updated
Aug 5, 2020 - MATLAB
Python library for Bayesian hyper-parameters optimization
python
data-science
machine-learning
big-data
deep-learning
neural-network
tensorflow
model-selection
hyperparameter-optimization
convolutional-neural-networks
gaussian-processes
bayesian-optimization
random-search
optimization-algorithms
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Updated
Aug 28, 2018 - Python
Using Bayesian Optimization to optimize hyper parameter in Keras-made neural network model.
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Mar 20, 2018 - Jupyter Notebook
Phoenics: Bayesian optimization for efficient experiment planning
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Jul 3, 2019 - Python
Parallel Hyperparameter Optimization in Python
machine-learning
parallel-computing
hyperparameter-optimization
tuning-parameters
gaussian-processes
bayesian-optimization
hyperparameter-tuning
cluster-deployment
sklearn-compatible
kubernetes-deployment
tensorflow-examples
blackbox-optimization
production-system
keras-examples
scipy-compatible
pytorch-compatible
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Aug 18, 2020 - Jupyter Notebook
Simple, but essential Bayesian optimization package
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Updated
Aug 21, 2020 - Python
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I'm using mxnet to do some work, but there is nothing when I search the mxnet trial and example.