Related
Other Automated Machine Learning (AutoML) tools and related projects:
| Name | Language | License | Description |
|---|---|---|---|
| Auto-WEKA | Java | GPL-v3 | Automated model selection and hyper-parameter tuning for Weka models. |
| auto-sklearn | Python | BSD-3-Clause | An automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator. |
| auto_ml | Python | MIT | Automated machine learning for analytics & production. Supports manual feature type declarations. |
| H2O AutoML | Java with Python, Scala & R APIs and web GUI | Apache 2.0 | Automated: data prep, hyperparameter tuning, random grid search and stacked ensembles in a distributed ML platform. |
| devol | Python | MIT | Automated deep neural network design via genetic programming. |
| MLBox | Python | BSD-3-Clause | Accurate hyper-parameter optimization in high-dimensional space with support for distributed computing. |
| Recipe | C | GPL-v3 | Machine-learning pipeline optimization through genetic programming. Uses grammars to define pipeline structure. |
| Xcessiv | Python | Apache 2.0 | A web-based application for quick, scalable, and automated hyper-parameter tuning and stacked ensembling in Python. |
| GAMA | Python | Apache 2.0 | Machine-learning pipeline optimization through asynchronous evaluation based genetic programming. |
| PyMoo | Python | Apache 2.0 | Multi-objective optimization in Python. |
| Karoo GP | Python | MIT | A Python based genetic programming application suite with support for symbolic regression and classification. |
| MABE | C++ | See here | A Python based genetic programming application suite with support for symbolic regression and classification. |
| SBBFramework | Python | BSD-2-Clause | Python implementation of Symbiotic Bid-Based (SBB) framework for problem decomposition using Genetic Programming (GP). |
| Tiny GP | Python | GPL-v3 | A minimalistic program implementing Koza-style (tree-based) genetic programming to solve a symbolic regression problem. |
| Baikal | Python | BSD-3-Clause | A graph-based functional API for building complex scikit-learn pipelines. |
| skdag | Python | MIT | A more flexible alternative to scikit-learn Pipelines. |
| d6tflow | Python | MIT | A python library which makes building complex data science workflows easy, fast and intuitive. |