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Context-sensitive ranking and choice in Python with PyTorch
The rewritten engine, originally for tensorflow. Now all other backends have been ported here.
A fully Bayesian implementation of sequential model-based optimization
A collection of scripts aimed at efficiently tuning chess engine parameters.
Forked from scikit-optimize/scikit-optimize
Sequential model-based optimization with a `scipy.optimize` interface
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara
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