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hyper-parameters
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Derivative-Free Optimization Method for Global Optimization (C++)
c-plus-plus
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cpp
optimization
genetic-algorithm
artificial-intelligence
evolutionary-algorithms
constraint-programming
optimization-methods
optimization-tools
optimization-algorithms
hyper-parameters
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metaheuristics
stochastic-optimization-algorithms
probabilistic-computing
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May 8, 2022 - C++
The ML micro-framework built as a thin wrapper around PyTorch-Lightning and Ray Tune frameworks to push the boundaries of simplicity even further.
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Jan 10, 2022 - Jupyter Notebook
A flexible hyper-parameter optimization library for machine learning
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Jan 29, 2019 - Python
Hyper parameter optimization extension for ASReview. EXPERIMENTAL
optimization
feature-extraction
hyperopt
hyper-parameters
utrecht-university
balance-strategy
asreview
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Feb 15, 2022 - Python
Pruning Neural Networks in Tensorflow 2 ✂️ 🕸
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Mar 12, 2022 - Jupyter Notebook
Project from my Machine Learning Engineer with Azure Nano-Degree program at Udacity
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Jan 28, 2021 - Jupyter Notebook
Boston house prices dataset
regression-models
hyper-parameters
boston-housing-price-prediction
bagging
gridsearchcv
decisiontreeregressor
randomforests
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Feb 10, 2022 - Python
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In order to reduce overfitting, I would like to ask for a new parameter: "n_repetitions". This parameter sets the number of complete sets of folds to compute for repeated k-fold cross-validation.
Cross-validation example: