H
h2o-3
h2oai/h2o-3
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.
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Jupyter Notebook
Apache-2.0
Updated: Today
📋 Project at a Glance
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What's this?A automl/big-data tool in the Data & Infrastructure category, built with Jupyter Notebook, open-source
Who made it?Maintained by h2oai team, 7.5K⭐ on GitHub, #256 out of 3133 in Data & Infrastructure
Why does it exist?In the Data & Infrastructure space, automl workflows faced efficiency bottlenecks. h2o-3 was built by h2oai to address these big-data challenges.
What can it do?Key use cases: data-science, deep-learning, distributed
How to install with AI?Use an AI coding assistant to follow the README and automatically handle the install and environment setup.
🔗 github.com/h2oai/h2o-3 | 官网 http://h2o.ai
🔗 github.com/h2oai/h2o-3 | 官网 http://h2o.ai
Topics
automlbig-datadata-sciencedeep-learningdistributedensemble-learninggbmgpuh2oh2o-automlhadoopjavamachine-learningnaive-bayesopensourcepcapythonrrandom-forestspark