Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates https://arxiv.org/abs/1607.08316
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Updated
Sep 10, 2021 - Julia
Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates https://arxiv.org/abs/1607.08316
This repository contains some examples of the HyperTuning a Julia package for the automated hyperparameter tuning.
Elastic-net VARMA: hyperparameter optimisation, estimation and forecasting
HyperTuning: Automated hyperparameter tuning in Julia.
Hyperparameter optimization in Julia.
Your local Flux surgeon
Relentless mutation!!
Evolve Flux networks from scratch!
Cross-validation in Julia
Hyperparameter optimization algorithms for use in the MLJ machine learning framework
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