Automatic Machine Learning (AutoML)
Hyper-parameters optimization
- Surveys
- Automatic Statistician
Software
- Python
- Adanet (Homepage, PyPI)
- AgEBO-Tabular (Homepage, Paper)
- AlphaD3M (Homepage, Paper) - closed source. Uses RL to tackle pipeline search
- Auptimizer (Homepage, PyPI)
- Auto-PyTorch (Homepage, Paper)
- Auto-Sklearn (Homepage, PyPI) - based on bayesian optimization
- Auto-Sklearn 2.0 (Homepage, PyPI, Paper) - uses portfolio learning
- AutoGBT (Homepage)
- AutoGBT-alt (Homepage)
- AutoGluon (Homepage, PyPI) - uses multi-Layer stack ensembling with k-fold ensemble bagging at all layers
- AutoKeras (Homepage, PyPI)
- AutoML Zero (Homepage, Paper)
- AutoML-DSGE (Homepage, Paper)
- automl-gs (Homepage, PyPI
- AutoRec (Homepage, Video) - Automated Recommender System
- AutoViML(Homepage)
- AX (Homepage, PyPI)
- Axolotl (Homepage)
- BOHB (Homepage)
- BoTorch (Homepage, PyPI)
- Gama (Homepage, Paper)
- H2O AutoML (Homepage)
- HpBandSter (Homepage)
- Hyperopt (Homepage, PyPI, Paper)
- Hyperparameter Hunter (Homepage, PyPI)
- Katib (Homepage, Paper)
- Keras Tuner (Homepage, PyPI)
- Lale (Homepage, PyPI, Paper)
- Ludwig (Homepage, PyPI)
- Mango (Homepage, Paper)
- Milano (Homepage)
- MLBox (Homepage, PyPI)
- nni (Homepage, PyPI)
- Optuna (Homepage, PyPI)
- Petridish (Homepage, Paper)
- PHS (Homepage, Paper)
- ray (Homepage, PyPI)
- RECIPE (Homepage)
- ROBO (Homepage)
- SMAC3 (Homepage, PyPI)
- Spearmint (Homepage)
- Talos (Homepage, PyPI
- TPOT (Homepage, PyPI)
- VolcanoML (Paper, Code)
- Scala
Star
Issue