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bayesian-optimisationHere are 16 public repositories matching this topic...Sort: Most stars
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SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
random-forest configuration hyperparameter-optimization bayesian-optimization hyperparameter-tuning automl automated-machine-learning hyperparameter-search bayesian-optimisation gaussian-process algorithm-configuration
Gaussian-Processes Surrogate Optimisation in python
neuroscience python3 gaussian-processes optimisation neuroscience-methods bayesian-optimisation gpflow space-partition-tree gaussian-processes-surrogate scale-biophysical-models partition-tree brainweb
💊 Guiding directed protein evolution with Bayesian Optimization - First Steps 💊
Tutorial on Bayesian optimization in R
NUBO is a Bayesian optimisation framework for the optimisation of expensive-to-evaluate black-box functions developed by the Fluid Dynamics Lab at Newcastle University.
machine-learning gaussian-processes optimisation-algorithms bayesian-optimisation black-box-optimisation derivative-free-optimisation
Implementation of ROCK* algorithm (Gaussian kernel regression + natural gradient descent) for optimisation
chess-engine chess differential-evolution bayesian-optimisation rockstar-algorithm dynamic-opposition parameters-vector
MATLAB code of Bayesian Optimized Neural Network (BONN) for Gain Coefficient Estimation in Optical Fiber Laser Amplifier
machine-learning matlab matlab-script bayesian-optimisation optical-fiber matlab-code matlab-machine-learning laser-amplifier bayesian-optmization
Accompanying code of BO-IRL published in Neurips 2020
Bayesian optimal experimental design, optimisation, and active learning with different acquisition functions
optimization information-theory gaussian-processes bayesian-optimization mutual-information active-learning experimental-design bayesian-optimisation surrogate-models acquisition-functions optimal-experimental-design
Stenosis detection in Invasive Coronariography Angiography imaging
Multi-objective Bayesian optimization with decoupled objectives using knowledge gradient and expectation over linear scalarisations
knowledge-gradient multi-objective-optimization multi-objective bayesian-optimization bayesian-optimisation multi-objective-optimisation
How Bayesian should Bayesian Optimisation be?
inference bayesopt variational-inference bayesian-optimization hmc bayesian-optimisation acquisition-functions
Data and code associated with paper "On the development of a practical Bayesian optimisation algorithm for expensive experiments and simulations with changing environmental conditions" currently in review.
machine-learning research research-paper optimisation bayesian-optimisation gaussian-process black-box-optimisation
Testing submission of AWS batch jobs using BoTorch (via Ax) and TorchX for neural architecture search
aws mnist gaussian-processes nas bayesian-optimization aws-batch ax neural-architecture-search bayesian-optimisation botorch neural-architecture-optimization torchx ax-platform
Whether the family's setup is complete and whether it converges. Complete: can a tree or graph of topics
Demographic linkage identifies individuals across historical documents. Traditional manual annotation of birth/death records is costly and time consuming. This project uses Active Learning to reduce labeling costs while maintaining accuracy, with Passive Learning as benchmark. Bayesian Optimization improves performance via hyperparameter tuning.
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