ML Nuremberg (prev. RELEA)

releaunifreiburg

Machine Learning Lab @ University of Technology Nuremberg

Germany

https://www.utn.de/departments/department-engineering/machine-learning-lab/

ML Nuremberg (prev. RELEA)'s repositories

WellTunedSimpleNets

[NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets

Language:PythonApache-2.07109

HPO-B

[NeurIPS DBT 2021] HPO-B

Language:PythonMIT25 2 3

QuickTune

[ICLR2024] Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How

Language:Python21 20

DeepPipe

[KDD 2023] Deep Pipeline Embeddings for AutoML

Language:PythonBSD-3-Clause15 2 1

FSBO

[ICLR 2021] Few Shot Bayesian Optimization

Language:PythonBSD-3-Clause14 1 1

DeepRankingEnsembles

[ICLR 2023] Deep Ranking Ensembles for Hyperparameter Optimization

Language:PythonMIT13 30

DPL

[NeurIPS 2023] Multi-fidelity hyperparameter optimization with deep power laws that achieves state-of-the-art results across diverse benchmarks.

Language:PythonApache-2.012 2 1

DyHPO

[NeurIPS 2022] Supervising the Multi-Fidelity Race of Hyperparameter Configurations

Language:PythonApache-2.010 10

Revisiting-MLPs

Language:Python7 20

AutoRL-Bench

Language:Python6 1 3

HPO-RL-Bench

Language:Python4 10

INN

Explainable deep networks that are not only as accurate as their black-box deep-learning counterparts but also as interpretable as state-of-the-art explanation techniques.

Language:PythonApache-2.04 10

RCGP

Language:Python3 10

HPO4DL

Language:PythonApache-2.01 10

Pipeline-Bench

Language:PythonMIT000

releaunifreiburg.github.io

Language:Ruby010