automl / autoweka
Auto-WEKA
β334Updated 3 years ago
Alternatives and similar repositories for autoweka
Users that are interested in autoweka are comparing it to the libraries listed below
Sorting:
- OpenML's Python API for a World of Data and More π«β296Updated last week
- autosklearn-zeroconf is a fully automated binary classifier. It is based on the AutoML challenge winner auto-sklearn. Give it a dataset wβ¦β169Updated 5 years ago
- RoBO: a Robust Bayesian Optimization frameworkβ485Updated 6 years ago
- Hyper-parameter optimization for sklearnβ1,622Updated 3 weeks ago
- ML-Ensemble β high performance ensemble learningβ855Updated last year
- optimization routines for hyperparameter tuningβ419Updated last year
- Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).β529Updated 5 years ago
- A collaborative feature engineering system built on JupyterHubβ94Updated 6 years ago
- MLBox is a powerful Automated Machine Learning python library.β1,514Updated last year
- Easy hyperparameter optimization and automatic result saving across machine learning algorithms and librariesβ706Updated 4 years ago
- Bayesian Optimization using xgboost and sklearn APIβ226Updated 9 years ago
- A simple, extensible library for developing AutoML systemsβ175Updated last year
- Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizatiβ¦β1,396Updated 7 years ago
- H2O.ai Machine Learning Interpretability Resourcesβ488Updated 4 years ago
- Tuning hyperparams fast with Hyperbandβ593Updated 6 years ago
- β69Updated 4 years ago
- β162Updated 3 years ago
- HPOlib is a hyperparameter optimization library. It provides a common interface to three state of the art hyperparameter optimization pacβ¦β166Updated 6 years ago
- Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded oneβ¦β381Updated 3 years ago
- Distributed scikit-learn meta-estimators in PySparkβ284Updated 2 weeks ago
- ThunderGBM: Fast GBDTs and Random Forests on GPUsβ699Updated last month
- [DEPRECATED] Amazon Deep Learning's Keras with Apache MXNet supportβ289Updated 2 years ago
- OpenML AutoML Benchmarking Frameworkβ429Updated last week
- XGBoost Feature Interactions & Importanceβ500Updated 7 years ago
- a distributed Hyperband implementation on Steroidsβ616Updated 2 years ago
- Easy to use library to bring Tensorflow on Apache Sparkβ296Updated last year
- StackNet is a computational, scalable and analytical Meta modelling frameworkβ1,318Updated 6 years ago
- Lattice methods in TensorFlowβ518Updated 9 months ago
- scikit-learn compatible projectsβ410Updated last month
- β757Updated last year