automl Goto Github PK

deepcave

An interactive framework to visualize and analyze your AutoML process in real-time.

dehb

dehb-old

efficientnas

fanova

Functional ANOVA

genericwrapper4ac

george

Fast Gaussian Processes for regression

hellocluster

hierarchical_nas_construction

Official repository for "Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars" (NeurIPS 2023)

hpbandster

a distributed Hyperband implementation on Steroids

hpo_for_rl

This is the code of reproducing the results of our paper: On the importance of Hyperparameter Optimization for Model-based Reinforcement Learning

hpobench

Collection of hyperparameter optimization benchmark problems

hpobenchexperimentutils

Experiment code to run large-scale experimente with HPOBench

hpolib

HPOlib is a hyperparameter optimization library. It provides a common interface to three state of the art hyperparameter optimization packages: SMAC, spearmint and hyperopt. This package is discontinued, please read the longer note in the info box below.

hpolib-autoweka

hpolib-hpconvnet

A wrapper for James Bergstras hyperopt convnet

hpolib-hpnnet

hpolib-logreg

hpolib1.5

hpolibconfigspace

hydra-smac-sweeper

Sweeper plugin based on SMAC for Hydra.

icgen

Image Classification Dataset Generator

ida23-mindthegap

Code accompanying the paper "Mind the Gap: Measuring Generalization Performance Across Multiple Objectives" by Feurer, Eggensperger, Bergman, Pfisterer, Bischl and Hutter at the Symposium on Intelligent Data Analysis (IDA 2023, ida23.org)

imfas

Implicit Multi-Fidelity Algorithm Selection

jahs_bench_201

The first collection of surrogate benchmarks for Joint Architecture and Hyperparameter Search.

jahs_bench_201_experiments

Experiments for the JAHS-Bench-201 paper.

labwatch

An extension to Sacred for automated hyperparameter optimization.

lc-pfns

lcbench

A learning curve benchmark on OpenML data

learna

End-to-end RNA Design using deep reinforcement learning