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SimonBlanke
Gradient-Free-Optimizers SimonBlanke
90
1.2k
mit
21
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
hyperactive nelder-mead optimization hill-climbing random-search meta-heuristic machine-learning simulated-annealing evolution-strategies bayesian-optimization blackbox-optimization constrained-optimization tree-of-parzen-estimator gradient-free-optimization hyperparameter-optimization particle-swarm-optimization
Created 2020-04-04
948 commits to master branch, last one 22 days ago
SimonBlanke
Hyperactive SimonBlanke
47
517
mit
10
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
keras python pytorch xgboost hyperactive data-science optimization scikit-learn deep-learning model-selection machine-learning parameter-tuning parallel-computing feature-engineering bayesian-optimization automated-machine-learning neural-architecture-search hyperparameter-optimization
Created 2018-11-01
2,420 commits to master branch, last one 7 days ago