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auto-sklearn
Automated Machine Learning with scikit-learnAuto-PyTorch
Automatic architecture search and hyperparameter optimization for PyTorchTabPFN
Official implementation of the TabPFN paper (https://arxiv.org/abs/2207.01848) and the tabpfn package.SMAC3
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter OptimizationHpBandSter
a distributed Hyperband implementation on SteroidsNASLib
NASLib is a Neural Architecture Search (NAS) library for facilitating NAS research for the community by providing interfaces to several state-of-the-art NAS search spaces and optimizers.RoBO
RoBO: a Robust Bayesian Optimization frameworkautoweka
Auto-WEKAawesome-transformer-search
A curated list of awesome resources combining Transformers with Neural Architecture SearchConfigSpace
Domain specific language for configuration spaces in Python/Cython. Useful for hyperparameter optimization and algorithm configuration.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.TransformersCanDoBayesianInference
Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paperRobustDARTS
Understanding and Robustifying DARTSpybnn
Bayesian neural network packageHPOBench
Collection of hyperparameter optimization benchmark problemsCARL
Benchmarking RL generalization in an interpretable way.CAAFE
Semi-automatic feature engineering process using Language Models and your dataset descriptions. Based on the paper "LLMs for Semi-Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering" by Hollmann, Mรผller, and Hutter (2023).nas_benchmarks
ParameterImportance
Parameter Importance Analysis Tooltrivialaugment
This is the official implementation of TrivialAugment and a mini-library for the application of multiple image augmentation strategies including RandAugment and TrivialAugment.nasbench301
HPOlib1.5
nasbench-1shot1
BOAH
BOAH: Bayesian Optimization & Analysis of HyperparametersDEHB
DeepCAVE
An interactive framework to visualize and analyze your AutoML process in real-time.labwatch
An extension to Sacred for automated hyperparameter optimization.learna
End-to-end RNA Design using deep reinforcement learningamltk
A build-it-yourself AutoML FrameworkCAVE
[deprecated] Configuration Assessment, Visualization and Evaluationzero-shot-automl-with-pretrained-models
Official repository for the paper "Zero-Shot AutoML with Pretrained Models"random_forest_run
neps
Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.SEARL
Sample-Efficient Automated Deep Reinforcement LearningAutoFolio
Automated Algorithm Selection with Hyperparameter OptimizationLCBench
A learning curve benchmark on OpenML datanes
Neural Ensemble Search for Uncertainty Estimation and Dataset ShiftDACBench
A benchmark library for Dynamic Algorithm Configuration.mdp-playground
A python package to design and debug RL agents.PFNs
Our maintained PFN repository. Come here to train SOTA PFNs.multi-obj-baselines
RNAformer
Scalable Deep Learning for RNA Secondary Structure Predictionauto-sklearn-talks
Presentations on Auto-sklearnlearning_environments
DAC
Dynamic Algorithm ConfigurationDE-NAS
nas-bench-x11
pynisher
PFNs4BO
The official implementation of PFNs4BO: In-Context Learning for Bayesian OptimizationProbTransformer
Probabilistic Transformer: Modelling Ambiguities and Distributions for RNA Folding and Molecule DesignTempoRL
jahs_bench_201
The first collection of surrogate benchmarks for Joint Architecture and Hyperparameter Search.tabpfn-client
HPO_for_RL
This is the code of reproducing the results of our paper: On the importance of Hyperparameter Optimization for Model-based Reinforcement LearningSquirrel-Optimizer-BBO-NeurIPS20-automlorg
hierarchical_nas_construction
Official repository for "Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars" (NeurIPS 2023)GenericWrapper4AC
SVGe
Smooth Variational Graph Embeddings for Efficient Neural Architecture SearchChaLearn_Automatic_Machine_Learning_Challenge_2015
transfer-hpo-framework
Code accompanying https://arxiv.org/abs/1802.02219ASKL2.0_experiments
EfficientNAS
TabularTempoRL
Code for the paper "Towards TempoRL: Learning When to Act"LTO-CMA
Code for the paper "Learning Step-Size Adaptation in CMA-ES"HPOlibConfigSpace
paramsklearn
multibeep
A Multi Armed Bandit library written in C++ with Python bindingsHPOBenchExperimentUtils
Experiment code to run large-scale experimente with HPOBenchlcpfn
mf-prior-bench
A collection of multi-fidelity benchmarks with first class support for user priorsHPOlib-hpconvnet
A wrapper for James Bergstras hyperopt convnetdac4automlcomp
DAC4AutoML CompetitionIMFAS
Implicit Multi-Fidelity Algorithm SelectionParameterConfigSpace
parameter configuration space parser for SMAC formatDAC4SGD
automl_template
A template that provides all the tools to ensure the same project setup across all AutoML packages.AutoRL-Landscape
SAWEI
SPaCE
masif
MASIF: Meta-learned Algorithm Selection using Implicit Fidelity Informationhydra-smac-sweeper
Sweeper plugin based on SMAC for Hydra.DAC4RL
DAC4RL track of DAC4AutoML competition at AutoML ConfBO-AFS
For BO: Select Acquisition Function (Schedule) with Meta-Learned Model Per-RunHPOlib-AutoWEKA
AutoDLComp19
AutoDL Competition Scripts 2019mf-prior-exp
ICGen
Image Classification Dataset Generator2022_JAIR_DAC_experiments
HPOlib-hpnnet
SPaCE_BIG
Code for the experiments in "Towards Self-Paced Context Evaluation for Contextual Reinforcement Learning"plotting_scripts
DontWasteYourTime-early-stopping
Experiments for pipelinespi_is_back
Repo for "PI is back! Switching Acquisition Functions in Bayesian Optimization" (NeurIPS: Gaussian Process Workshop '22)automl_sphinx_theme
Write easy documentations with the AutoML sphinx theme. No sphinx knowledge necessary. See the documentation to get a preview:SAFS
Respository for Sparse Activation Function Searchbibtex-cleaner
AutomlCup2023
Code for the AutoMLCup 2023naslib-fall-school
Repository for the NASLib Hands-on Session at the AutoML Fall School 2022hydra_tutorial
AutoML Fall School 23autorl-org
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