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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. Useful for hyperparameter optimization and algorithm configuration.TransformersCanDoBayesianInference
Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paperHPOlib
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.RobustDARTS
Understanding and Robustifying DARTStrivialaugment
This is the official implementation of TrivialAugment and a mini-library for the application of multiple image augmentation strategies including RandAugment and TrivialAugment.HPOBench
Collection of hyperparameter optimization benchmark problemspybnn
Bayesian neural network packageCARL
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, MΓΌller, and Hutter (2023).nas_benchmarks
ParameterImportance
Parameter Importance Analysis Toolnasbench301
DEHB
DeepCAVE
An interactive framework to visualize and analyze your AutoML process in real-time.HPOlib1.5
nasbench-1shot1
BOAH
BOAH: Bayesian Optimization & Analysis of Hyperparametersamltk
A build-it-yourself AutoML Frameworklabwatch
An extension to Sacred for automated hyperparameter optimization.learna
End-to-end RNA Design using deep reinforcement learningneps
Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.CAVE
[deprecated] Configuration Assessment, Visualization and EvaluationPFNs
Our maintained PFN repository. Come here to train SOTA PFNs.zero-shot-automl-with-pretrained-models
Official repository for the paper "Zero-Shot AutoML with Pretrained Models"random_forest_run
AutoFolio
Automated Algorithm Selection with Hyperparameter OptimizationSEARL
Sample-Efficient Automated Deep Reinforcement Learningnes
Neural Ensemble Search for Uncertainty Estimation and Dataset ShiftLCBench
A learning curve benchmark on OpenML dataDACBench
A benchmark library for Dynamic Algorithm Configuration.mdp-playground
A python package to design and debug RL agents.RNAformer
Scalable Deep Learning for RNA Secondary Structure Predictionauto-sklearn-talks
Presentations on Auto-sklearnmulti-obj-baselines
PFNs4BO
The official implementation of PFNs4BO: In-Context Learning for Bayesian OptimizationCVPR24-MedSAM-on-Laptop
Data-aware Fine-Tuning (DAFT) Code related to the CPVR24 Competition for Image Segmentation on a Laptop.learning_environments
pynisher
DE-NAS
DAC
Dynamic Algorithm Configurationnas-bench-x11
ProbTransformer
Probabilistic Transformer: Modelling Ambiguities and Distributions for RNA Folding and Molecule DesignMighty
The Mighty cRL library you've been looking for! πͺTempoRL
HPO_for_RL
This is the code of reproducing the results of our paper: On the importance of Hyperparameter Optimization for Model-based Reinforcement Learninghierarchical_nas_construction
Official repository for "Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars" (NeurIPS 2023)transfer-hpo-framework
Code accompanying https://arxiv.org/abs/1802.02219jahs_bench_201
The first collection of surrogate benchmarks for Joint Architecture and Hyperparameter Search.Squirrel-Optimizer-BBO-NeurIPS20-automlorg
SVGe
Smooth Variational Graph Embeddings for Efficient Neural Architecture Searchis_mamba_capable_of_icl
ChaLearn_Automatic_Machine_Learning_Challenge_2015
GenericWrapper4AC
HW-GPT-Bench
HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language ModelsQTT
A framework for QuickTuneifBO
In-context Bayesian Optimizationarlbench
HPO and Architecture Benchmarking for RL: Dynamically, Reactive and Efficientlcpfn
ASKL2.0_experiments
mf-prior-bench
A collection of multi-fidelity benchmarks with first class support for user priorsLTO-CMA
Code for the paper "Learning Step-Size Adaptation in CMA-ES"EfficientNAS
HPOlibConfigSpace
paramsklearn
multibeep
A Multi Armed Bandit library written in C++ with Python bindingsMODNAS
Official Repo for "Multi-objective Differentiable Neural Architecture Search"TabularTempoRL
Code for the paper "Towards TempoRL: Learning When to Act"CARP-S
A Framework for Comparing N Hyperparameter Optimizers on M Benchmarks.HPOBenchExperimentUtils
Experiment code to run large-scale experimente with HPOBenchhypersweeper
Hydra sweeper integration of our favorite optimization packages, utilizing ask-and-tell interfaces.HPOlib-hpconvnet
A wrapper for James Bergstras hyperopt convnetSPaCE
dac4automlcomp
DAC4AutoML CompetitionIMFAS
Implicit Multi-Fidelity Algorithm Selectionautoml_common
This repository holds shared utilities that AutoML frameworks may benefit from.ParameterConfigSpace
parameter configuration space parser for SMAC formatmasif
MASIF: Meta-learned Algorithm Selection using Implicit Fidelity InformationDAC4SGD
automl_template
A template that provides all the tools to ensure the same project setup across all AutoML packages.AutoRL-Landscape
SAWEI
hydra-smac-sweeper
Sweeper plugin based on SMAC for Hydra.DAC4RL
DAC4RL track of DAC4AutoML competition at AutoML Confpi_is_back
Repo for "PI is back! Switching Acquisition Functions in Bayesian Optimization" (NeurIPS: Gaussian Process Workshop '22)BO-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 GeneratorAutomlCup2023
Code for the AutoMLCup 2023FOB
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