A hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.
python
metadata
data-science
machine-learning
deep-learning
optimization
scikit-learn
parallel-computing
keras
pytorch
artificial-intelligence
xgboost
hyperparameter-optimization
feature-engineering
bayesian-optimization
automated-machine-learning
parameter-tuning
neural-architecture-search
meta-learning
meta-heuristics
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Updated
Jul 23, 2021 - Python
Some problems/algorithms seem to have an inconsistent python exposition in terms of types.
For instance, in
../src/problems/dtlz.cppwe have:But in the
../pygmo/expose_problems_0.cppit is exposed as:I