Projects in Awesome Lists by SimonBlanke
A curated list of projects in awesome lists by SimonBlanke .
https://github.com/simonblanke/gradient-free-optimizers
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
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
Last synced: 15 Mar 2026
https://github.com/SimonBlanke/Gradient-Free-Optimizers
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
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
Last synced: 05 Apr 2025
https://github.com/simonblanke/hyperactive
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
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
Last synced: 14 May 2025
https://github.com/SimonBlanke/Hyperactive
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
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
Last synced: 05 Apr 2025
https://github.com/simonblanke/optimization-tutorial
Tutorials for the optimization techniques used in Gradient-Free-Optimizers and Hyperactive.
gradient-free-optimization hyperactive hyperparameter-optimization machine-learning optimization tutorial visualization
Last synced: 05 May 2025
https://github.com/simonblanke/surfaces
Standardized test-functions for optimization algorithms and machine-learning
bbob benchmarking black-box-optimization cec2013 cec2014 cec2017 engineering gradient-free-optimization machine-learning objective-functions optimization python science surrogate-models test-functions
Last synced: 18 Apr 2026
https://github.com/simonblanke/progressboard
Add on for Hyperactive package to visualize progress of optimization run.
dashboard hyperactive hyperparameter-optimization panel visualization
Last synced: 26 Nov 2025
https://github.com/simonblanke/search-data-explorer
Visualize search-data from your gradient-free-optimization run.
dashboard data-exploration data-science matplotlib pandas plotly python statistics streamlit tabular-data visualization
Last synced: 12 Jun 2025
https://github.com/simonblanke/gradient-free-optimization-plots
Visualizations for the Gradient-Free-Optimizers and Hyperactive package
Last synced: 27 Feb 2026
https://github.com/simonblanke/meta-learn
Metalearning for Hyperparameter Optimization
data-science hyperparameter-optimization machine-learning meta-learning metadata model-selection scikit-learn
Last synced: 04 Mar 2026
https://github.com/simonblanke/search-data-collector
Thread safe and atomic data collection into csv-files
csv data-collection hyperactive pandas python
Last synced: 05 May 2025
https://github.com/simonblanke/hyperactive-tutorials
Examples, notebooks and visualizations for the Hyperactive package
examples jupyter-notebook python tutorial visualization
Last synced: 27 Nov 2025
https://github.com/simonblanke/common-optimization-documentation
common files for documentation of gradient-free-optimization algorithms
Last synced: 04 Mar 2026
https://github.com/simonblanke/meta-optimize
Optimizer- and problem-specific data collection, visualization and utilization
Last synced: 02 Mar 2025
https://github.com/simonblanke/gradient-free-optimizers-tutorials
Examples, notebooks and visualizations for the Gradient-Free-Optimizers package
examples jupyter-notebook python tutorial visualization
Last synced: 02 Mar 2025
https://github.com/simonblanke/test_repository
temp repo to workout how appveyor and circleci works with pytest
Last synced: 02 Mar 2025
https://github.com/simonblanke/surrogate-models
A collection of surrogate models for sequence model based optimization techniques
Last synced: 09 Aug 2025
https://github.com/simonblanke/hyperactive-integrations
Hyperactive integrations with popular machine learning frameworks.
Last synced: 19 Aug 2025
https://github.com/simonblanke/gradient-free-optimizers-documentation
Documentation source for Gradient-Free-Optimizers with mkdocs-material
Last synced: 19 Mar 2026