h2oai / h2o-3Links
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
☆7,222Updated this week
Alternatives and similar repositories for h2o-3
Users that are interested in h2o-3 are comparing it to the libraries listed below
Sorting:
- Tutorials and training material for the H2O Machine Learning Platform☆1,494Updated 8 months ago
- Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allredu…☆8,575Updated 8 months ago
- Automated Machine Learning with scikit-learn☆7,881Updated 2 weeks ago
- A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.☆9,934Updated last week
- An open source python library for automated feature engineering☆7,485Updated this week
- A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2…☆1,886Updated 2 years ago
- A library of extension and helper modules for Python's data analysis and machine learning libraries.☆5,037Updated 3 weeks ago
- Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on sing…☆27,082Updated this week
- Visualizations for machine learning datasets☆7,380Updated 2 years ago
- PipelineAI☆4,171Updated last year
- TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.☆3,870Updated 2 years ago
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,358Updated 4 months ago
- AutoML library for deep learning☆9,245Updated 6 months ago
- A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used …☆17,373Updated last week
- MLBox is a powerful Automated Machine Learning python library.☆1,519Updated last year
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,772Updated 2 months ago
- A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other ma…☆8,463Updated this week
- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning☆7,009Updated 3 weeks ago
- Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.☆19,392Updated last month
- [UNMAINTAINED] Automated machine learning for analytics & production☆1,653Updated 4 years ago
- Pandas integration with sklearn☆2,837Updated 2 years ago
- TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows…☆2,264Updated last year
- Distributed Asynchronous Hyperparameter Optimization in Python☆7,438Updated last month
- Hyper-parameter optimization for sklearn☆1,635Updated 2 months ago
- MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle☆3,651Updated this week
- Distributed Deep learning with Keras & Spark☆1,572Updated 2 years ago
- Sequential model-based optimization with a `scipy.optimize` interface☆2,781Updated last year
- Automatic extraction of relevant features from time series:☆8,841Updated 4 months ago
- Please visit https://github.com/h2oai/h2o-3 for latest H2O☆2,222Updated 8 months ago
- Microsoft Distributed Machine Learning Toolkit☆2,748Updated 6 years ago