Beast code in Giters

Matthias Feurer's repositories

EC-Bestiary

A bestiary of evolutionary, swarm and other metaphor-based algorithms

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HORD

Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates

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AdamW-and-SGDW

Fixing Weight Decay Regularization in Adam

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bads

Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB

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BOCS

Bayesian Optimization of Combinatorial Structures

Language:MATLABGPL-3.0020

The data complexity library, DCoL, is a machine learning software that implements all metrics to characterize the apparent complexity of classification problems. The code is implemented in C++ and can be run on multiple platforms.

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docker-codalab-legacy

MIT000

dtu_mlops

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ECML2016

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FSBO

Few Shot Bayesian Optimization

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hierarchical-kernels

Kernels for Bayesian Optimization in Conditional Parameter Spaces

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HPO-B

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HPOlibConfigSpace

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LatexTemplate

Latex Template for AutoML-Conf

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liac-arff

A library for read and write ARFF files in Python

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metafeatures

Meta-feature extractor

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nbless

Construct, deconstruct, convert, execute, and prepare slides from Jupyter notebooks

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NIPS2017

Multi-Information Source Optimization

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NUTS

python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011

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pc_smac

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pySMAC

simple python interface to SMAC.

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scikit-learn

scikit-learn: machine learning in Python

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scipy

Scipy library main repository