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An open API service indexing awesome lists of open source software.
Projects in Awesome Lists by automl
A curated list of projects in awesome lists by automl .
https://github.com/automl/auto-sklearn
Automated Machine Learning with scikit-learn
automated-machine-learning automl bayesian-optimization hyperparameter-optimization hyperparameter-search hyperparameter-tuning meta-learning metalearning scikit-learn smac
Last synced: 30 Jul 2024
https://github.com/automl/Auto-PyTorch
Automatic architecture search and hyperparameter optimization for PyTorch
automl deep-learning pytorch tabular-data
Last synced: 01 Aug 2024
https://github.com/automl/SMAC3
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
algorithm-configuration automated-machine-learning automl bayesian-optimisation bayesian-optimization configuration gaussian-process hyperparameter-optimization hyperparameter-search hyperparameter-tuning random-forest
Last synced: 01 Aug 2024
https://github.com/automl/HpBandSter
a distributed Hyperband implementation on Steroids
automated-machine-learning automl bayesian-optimization hyperparameter-optimization neural-architecture-search
Last synced: 01 Aug 2024
https://github.com/automl/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.
automl nas neural-architecture-search
Last synced: 05 Aug 2024
https://github.com/automl/RoBO
RoBO: a Robust Bayesian Optimization framework
Last synced: 01 Aug 2024
https://github.com/automl/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.
Last synced: 07 Aug 2024
https://github.com/automl/trivialaugment
This is the official implementation of TrivialAugment and a mini-library for the application of multiple image augmentation strategies including RandAugment and TrivialAugment.
Last synced: 03 Aug 2024
https://github.com/automl/HPOBench
Collection of hyperparameter optimization benchmark problems
bayesian-optimization benchmark benchmarking containerized-benchmarks hyperparameter-optimization
Last synced: 01 Aug 2024
https://github.com/automl/DeepCAVE
An interactive framework to visualize and analyze your AutoML process in real-time.
analysis automl hyperparameter-importance hyperparameters iml interactive real-time sampling-bias visualization
Last synced: 31 Jul 2024