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SimonBlanke
Gradient-Free-Optimizers SimonBlanke
84
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
884 commits to master branch, last one 3 days ago
SimonBlanke
Hyperactive SimonBlanke
42
514
mit
12
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
2,383 commits to master branch, last one 9 days ago