Pinned Repositories
Auto-PyTorch
Automatic architecture search and hyperparameter optimization for PyTorch
auto-sklearn
Automated Machine Learning with scikit-learn
autoweka
Auto-WEKA
awesome-transformer-search
A curated list of awesome resources combining Transformers with Neural Architecture Search
HpBandSter
a distributed Hyperband implementation on Steroids
HPOBench
Collection of hyperparameter optimization benchmark problems
NASLib
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 framework
SMAC3
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
TransformersCanDoBayesianInference
Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper
AutoML-Freiburg-Hannover's Repositories
automl/auto-sklearn
Automated Machine Learning with scikit-learn
automl/SMAC3
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
automl/ConfigSpace
Domain specific language for configuration spaces in Python. Useful for hyperparameter optimization and algorithm configuration.
automl/PFNs
Our maintained PFN repository. Come here to train SOTA PFNs.
automl/DeepCAVE
An interactive framework to visualize and analyze your AutoML process in real-time.
automl/neps
Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.
automl/Mighty
The Mighty cRL library you've been looking for! :muscle:
automl/RNAformer
Scalable Deep Learning for RNA Secondary Structure Prediction
automl/PFNs4BO
The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization
automl/DACBench
A benchmark library for Dynamic Algorithm Configuration.
automl/mdp-playground
A python package to design and debug RL agents.
automl/arlbench
HPO and Architecture Benchmarking for RL: Dynamically, Reactive and Efficient
automl/CARP-S
A Framework for Comparing N Hyperparameter Optimizers on M Benchmarks.
automl/ifBO
In-context Bayesian Optimization
automl/AutoNNUnet
automl/tabularpriors
A python module implementing interfaces for various public tabular priors
automl/hpoglue
HPO tool with a modular API that allows for the easy interfacing of a new Optimizer and a new Benchmark
automl/autorl-org
The AutoRL.org site
automl/hposuite
A lightweight framework for benchmarking HPO algorithms
automl/HyperSHAP
HyperSHAP is a holistic framework for explaining hyperparameter optimization based on Shapley values and interactions.
automl/NOSBench
NOSBench-101: Towards Reproducible Neural Optimizer Search
automl/mo_mf_priors
automl/neps_colab_playground
NePS wrapper code specific to a colab tutorial
automl/NeuralAttentionSearch
automl/DynaBO
automl/Mighty-DACs
automl/mighty_dr_example
Example for using Mighty in a project
automl/mighty_project_template
Template repo for Mighty projects
automl/RNAinformer
automl/SyntheticEvolution
RNA Secondary Structure Based Generation of Synthetic Homologous Sequences