automl / autowekaLinks
Auto-WEKA
☆335Updated 3 years ago
Alternatives and similar repositories for autoweka
Users that are interested in autoweka are comparing it to the libraries listed below
Sorting:
- Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).☆527Updated 5 years ago
- A collaborative feature engineering system built on JupyterHub☆94Updated 6 years ago
- OpenML's Python API for a World of Data and More 💫☆323Updated this week
- A simple, extensible library for developing AutoML systems☆175Updated 2 years ago
- Multi-label classifiers and evaluation procedures using the Weka machine learning framework.☆208Updated last week
- Deep Learning in H2O using Native GPU Backends☆282Updated 7 years ago
- ☆762Updated 2 years ago
- ☆69Updated 5 years ago
- H2Oai GPU Edition☆466Updated last year
- Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.☆324Updated 5 years ago
- optimization routines for hyperparameter tuning☆425Updated 2 years ago
- RoBO: a Robust Bayesian Optimization framework☆489Updated 6 years ago
- Visual Exploration of Automated Machine Learning with ATMSeer☆169Updated 3 years ago
- autosklearn-zeroconf is a fully automated binary classifier. It is based on the AutoML challenge winner auto-sklearn. Give it a dataset w…☆171Updated 6 years ago
- MLBox is a powerful Automated Machine Learning python library.☆1,526Updated 2 years ago
- Tuning hyperparams fast with Hyperband☆597Updated 7 years ago
- Hyper-parameter optimization for sklearn☆1,649Updated 9 months ago
- OpenML AutoML Benchmarking Framework☆448Updated this week
- A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.☆421Updated 2 years ago
- Open Machine Learning☆725Updated last week
- Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…☆1,394Updated 8 years ago
- Easy to use library to bring Tensorflow on Apache Spark☆297Updated 2 years ago
- Lattice methods in TensorFlow☆520Updated last year
- ML-Ensemble – high performance ensemble learning☆862Updated 2 years ago
- CostSensitiveClassification Library in Python☆205Updated 5 years ago
- scikit-learn compatible projects☆406Updated 9 months ago
- Automated machine learning (AutoML) with grammar-based genetic programming☆54Updated last year
- KEEL: Knowledge Extraction based on Evolutionary Learning☆130Updated 7 years ago
- Deploy AutoML as a service using Flask☆227Updated 8 years ago
- PMLB: A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.☆854Updated 11 months ago