A hyperparameter optimization framework, inspired by Optuna.
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Updated
Aug 12, 2025 - Go
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bayesian-optimization
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Goptuna sampler for Gaussian Process based bayesian optimization using d4l3k/go-bayesopt.
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Jul 29, 2020 - Go
Experimental Bayesian Optimisation in Go
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Dec 28, 2025 - Go
Trust calibration for agentic tool use as preference learning: a GP-probit allow/ask/block policy gateway framed as Preferential Bayesian Optimization, with the paper and a reproducible simulation.
machine-learning gaussian-processes bayesian-optimization active-learning ai-safety human-in-the-loop ai-agents preference-learning ai-governance llm-agents agentic-ai trust-calibration
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May 27, 2026 - Go
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