automl / auto-sklearnLinks
Automated Machine Learning with scikit-learn
☆8,023Updated last month
Alternatives and similar repositories for auto-sklearn
Users that are interested in auto-sklearn are comparing it to the libraries listed below
Sorting:
- A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.☆10,031Updated 3 months ago
- An open source python library for automated feature engineering☆7,592Updated last month
- AutoML library for deep learning☆9,286Updated 3 weeks ago
- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning☆7,068Updated 3 months ago
- A library of extension and helper modules for Python's data analysis and machine learning libraries.☆5,083Updated last week
- Distributed Asynchronous Hyperparameter Optimization in Python☆7,574Updated last week
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,773Updated 8 months ago
- [UNMAINTAINED] Automated machine learning for analytics & production☆1,655Updated 4 years ago
- MLBox is a powerful Automated Machine Learning python library.☆1,523Updated 2 years ago
- Hyper-parameter optimization for sklearn☆1,648Updated 8 months ago
- Sequential model-based optimization with a `scipy.optimize` interface☆2,805Updated last year
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,382Updated 10 months ago
- A library of sklearn compatible categorical variable encoders☆2,472Updated 2 weeks ago
- Pandas integration with sklearn☆2,847Updated 2 years ago
- A scikit-learn compatible neural network library that wraps PyTorch☆6,141Updated last month
- Automatic architecture search and hyperparameter optimization for PyTorch☆2,509Updated last year
- An intuitive library to add plotting functionality to scikit-learn objects.☆2,438Updated last year
- H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random F…☆7,443Updated this week
- Automatic extraction of relevant features from time series:☆9,056Updated last month
- Feature selector is a tool for dimensionality reduction of machine learning datasets☆2,237Updated last year
- Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation☆3,224Updated 5 months ago
- Modin: Scale your Pandas workflows by changing a single line of code☆10,340Updated 2 months ago
- Visualizations for machine learning datasets☆7,377Updated 2 years ago
- Statsmodels: statistical modeling and econometrics in Python☆11,155Updated this week
- Lime: Explaining the predictions of any machine learning classifier☆12,077Updated last year
- Python implementations of the Boruta all-relevant feature selection method.☆1,600Updated last month
- Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on sing…☆27,763Updated this week
- Hyperparameter Experiments with TensorFlow and Keras☆1,639Updated last year
- Deep universal probabilistic programming with Python and PyTorch☆8,933Updated 5 months ago
- A system for quickly generating training data with weak supervision☆5,931Updated last year