dmarx/dmarx-github-stars huggingface dataset:
Repository: SimonBlanke/Hyperactive
Description: An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
Language: Python
Topics: automated-machine-learning, bayesian-optimization, data-science, deep-learning, feature-engineering, hyperactive, hyperparameter-optimization, keras, machine-learning, model-selection, neural-architecture-search, optimization, parallel-computing, parameter-tuning, python, pytorch, scikit-learn, xgboost
Homepage: https://simonblanke.github.io/hyperactive-documentation
Repository: SimonBlanke/Gradient-Free-Optimizers
Description: Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
Language: Python
Topics: bayesian-optimization, blackbox-optimization, constrained-optimization, evolution-strategies, gradient-free-optimization, hill-climbing, hyperactive, hyperparameter-optimization, machine-learning, meta-heuristic, nelder-mead, optimization, particle-swarm-optimization, random-search, simulated-annealing, tree-of-parzen-estimator
Homepage: https://simonblanke.github.io/gradient-free-optimizers-documentation