SimonBlanke
Full-Stack-Developer. Open-source developer in my free time. Interested in optimization algorithms and machine learning. M.Sc. and B.Eng.
HensoldtGermany
Pinned Repositories
gradient-free-optimization-plots
Visualizations for the Gradient-Free-Optimizers and Hyperactive package
Gradient-Free-Optimizers
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
Hyperactive
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
hyperactive-tutorials
Examples, notebooks and visualizations for the Hyperactive package
Meta-Learn
Metalearning for Hyperparameter Optimization
optimization-tutorial
Tutorials for the optimization techniques used in Gradient-Free-Optimizers and Hyperactive.
ProgressBoard
Add on for Hyperactive package to visualize progress of optimization run.
search-data-collector
Thread safe and atomic data collection into csv-files
search-data-explorer
Visualize search-data from your gradient-free-optimization run.
Surfaces
A collection and visualization of single objective black-box functions for optimization benchmarking.
SimonBlanke's Repositories
SimonBlanke/Gradient-Free-Optimizers
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
SimonBlanke/Hyperactive
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
SimonBlanke/optimization-tutorial
Tutorials for the optimization techniques used in Gradient-Free-Optimizers and Hyperactive.
SimonBlanke/ProgressBoard
Add on for Hyperactive package to visualize progress of optimization run.
SimonBlanke/search-data-explorer
Visualize search-data from your gradient-free-optimization run.
SimonBlanke/gradient-free-optimization-plots
Visualizations for the Gradient-Free-Optimizers and Hyperactive package
SimonBlanke/Meta-Learn
Metalearning for Hyperparameter Optimization
SimonBlanke/search-data-collector
Thread safe and atomic data collection into csv-files
SimonBlanke/hyperactive-tutorials
Examples, notebooks and visualizations for the Hyperactive package
SimonBlanke/Surfaces
A collection and visualization of single objective black-box functions for optimization benchmarking.
SimonBlanke/gradient-free-optimizers-documentation
Documentation source for Gradient-Free-Optimizers with mkdocs-material
SimonBlanke/caribou
A small, simple Python migrations library for SQLite databases.
SimonBlanke/common-optimization-documentation
common files for documentation of gradient-free-optimization algorithms
SimonBlanke/demo
🤖 Fork me to try out Dependabot
SimonBlanke/gradient-free-optimizers-tutorials
Examples, notebooks and visualizations for the Gradient-Free-Optimizers package
SimonBlanke/hyperactive-documentation
SimonBlanke/hyperactive-integrations
Hyperactive integrations with popular machine learning frameworks.
SimonBlanke/Meta-Optimize
Optimizer- and problem-specific data collection, visualization and utilization
SimonBlanke/mike
Manage multiple versions of your MkDocs-powered documentation via Git
SimonBlanke/project-based-learning
Curated list of project-based tutorials
SimonBlanke/sktime
A unified framework for machine learning with time series
SimonBlanke/sqlite-migrate
A simple database migration system for SQLite, based on sqlite-utils
SimonBlanke/surrogate-models
A collection of surrogate models for sequence model based optimization techniques
SimonBlanke/tabnet
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
SimonBlanke/test_repository
temp repo to workout how appveyor and circleci works with pytest
SimonBlanke/The-Hyperactive-Software-Stack
SimonBlanke/torchsample
High-Level Training, Data Augmentation, and Utilities for Pytorch
SimonBlanke/Udacity-MLND-dog_breed_classifier
SimonBlanke/Udacity-MLND-finding_donors
SimonBlanke/Udacity-MLND-smartcab