Honegumi (骨組み) is an interactive "skeleton code" generator for API tutorials focusing on optimization packages.
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Updated
Nov 23, 2024 - Python
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adaptive-experimentation-platform
Here are 4 public repositories matching this topic...
Hyperpatameter Bayesian Optimization for Image Classification in PyTorch
pytorch
hyperparameters
image-classification
gpytorch
botorch
ax-parametrization
configuration-hyperparameters
adaptive-experimentation-platform
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Updated
Aug 20, 2019 - Python
Compactness Matters: Improving Bayesian Optimization Efficiency of Materials Formulations through Invariant Search Spaces
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Updated
Mar 2, 2023 - HTML
Using Bayesian optimization via Ax platform + SAASBO model to simultaneously optimize 23 hyperparameters in 100 iterations (set a new Matbench benchmark).
benchmark
machine-learning
materials-informatics
bayesian-optimization
adaptive-design
transformer-network
adaptive-experimentation-platform
materials-discovery
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Updated
Jul 8, 2022 - HTML
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