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adamw-and-sgdw

Fixing Weight Decay Regularization in Adam

askl2.0_experiments

automlbenchmark

bads

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

bocs

Bayesian Optimization of Combinatorial Structures

dcol

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.

docker-codalab-legacy

dtu_mlops

ec-bestiary

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

ecml2016

fsbo

Few Shot Bayesian Optimization

hierarchical-kernels

Kernels for Bayesian Optimization in Conditional Parameter Spaces

hord

Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates

hpo-b

hpolibconfigspace

latextemplate

Latex Template for AutoML-Conf

liac-arff

A library for read and write ARFF files in Python

metafeatures

Meta-feature extractor

nbless

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

nips2017

Multi-Information Source Optimization

nuts

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

pc_smac

pysmac

simple python interface to SMAC.

scikit-learn

scikit-learn: machine learning in Python

scipy

Scipy library main repository

sphinx-gallery

Sphinx extension for automatic generation of an example gallery

survey

An (in-progress) AutoML survey focusing on practical systems.

systematic-metafeatures

Python implementation for systematic generation of metafeatures.

tst