Simon Blanke (SimonBlanke)

SimonBlanke

Geek Repo

Company:Akkodis

Location:Germany

Home Page:linkedin.com/in/simon-blanke

Twitter:@blanke_simon

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Simon Blanke's repositories

Gradient-Free-Optimizers

Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.

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Hyperactive

An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

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optimization-tutorial

Tutorials for the optimization techniques used in Gradient-Free-Optimizers and Hyperactive.

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ProgressBoard

Add on for Hyperactive package to visualize progress of optimization run.

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gradient-free-optimization-plots

Visualizations for the Gradient-Free-Optimizers and Hyperactive package

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Meta-Learn

Metalearning for Hyperparameter Optimization

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search-data-explorer

Visualize search-data from your gradient-free-optimization run.

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hyperactive-tutorials

Examples, notebooks and visualizations for the Hyperactive package

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search-data-collector

Thread safe and atomic data collection into csv-files

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Surfaces

A collection and visualization of single objective black-box functions for optimization benchmarking.

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gradient-free-optimizers-documentation

Documentation source for Gradient-Free-Optimizers with mkdocs-material

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caribou

A small, simple Python migrations library for SQLite databases.

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gradient-free-optimizers-tutorials

Examples, notebooks and visualizations for the Gradient-Free-Optimizers package

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Meta-Optimize

Optimizer- and problem-specific data collection, visualization and utilization

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mike

Manage multiple versions of your MkDocs-powered documentation via Git

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project-based-learning

Curated list of project-based tutorials

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sqlite-migrate

A simple database migration system for SQLite, based on sqlite-utils

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surrogate-models

A collection of surrogate models for sequence model based optimization techniques

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tabnet

PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

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test_repository

temp repo to workout how appveyor and circleci works with pytest

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torchsample

High-Level Training, Data Augmentation, and Utilities for Pytorch

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