h2o-3
ML platform
An in-memory machine learning platform that supports various algorithms and provides tools for building, deploying, and scaling machine learning models
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.
7k stars
387 watching
2k forks
Language: Jupyter Notebook
last commit: 3 months ago
Linked from 8 awesome lists
automlbig-datadata-sciencedeep-learningdistributedensemble-learninggbmgpuh2oh2o-automlhadoopjavamachine-learningnaive-bayesopensourcepcapythonrrandom-forestspark
vinta/awesome-python
josephmisiti/awesome-machine-learning
jobbole/awesome-python-cn
ethicalml/awesome-production-machine-learning
oxnr/awesome-bigdata
hibayesian/awesome-automl-papers
jphall663/awesome-machine-learning-interpretability
rootsongjc/awesome-cloud-nativeRelated projects:
| Repository | Description | Stars |
|---|---|---|
| h2oai/h2o-tutorials | Provides tutorials and training materials for machine learning with H2O, a platform for building predictive models. | 1,484 |
| h2oai/article-information-2019 | A framework for building and evaluating machine learning systems with high accuracy and interpretability, particularly in human-centered applications. | 13 |
| h2oai/mli-resources | Provides tools and techniques for interpreting machine learning models | 483 |
| h2oai/h2o-2 | An analytics engine that provides fast and scalable predictive modeling capabilities for big data | 2,224 |
| h2oai/h2o-flow | An interactive computing environment for machine learning and data analysis | 134 |
 hydrospheredata/hydro-serving | A MLOps platform for deploying and versioning machine learning models in production. | 271 |
| h2oai/h2o-llm-eval | An evaluation framework for large language models with Elo rating system and A/B testing capabilities | 50 |
 runllm/aqueduct | An MLOps framework that allows developers to define and deploy machine learning workloads on any cloud infrastructure using a Python native API. | 520 |
 aporia-ai/mlplatform-workshop | An open-source project providing a basic framework for building a full-fledged machine learning platform. | 434 |
 star-whale/starwhale | An MLOps platform providing tools and services for efficient machine learning development and deployment | 214 |
 omegaml/omegaml | An MLOps platform providing tools and services to deploy, collaborate and manage machine learning models and data pipelines in a simplified way | 96 |
 mlreef/mlreef | A platform for collaboration, data management, and reproducibility in machine learning development | 1,440 |
 a3data/hermione | A framework for simplifying machine learning development and deployment | 207 |
 szilard/benchm-ml | A benchmark for evaluating machine learning algorithms' performance on large datasets | 1,874 |
 jeff1evesque/machine-learning | A web-based platform for machine learning algorithms and data visualization using JavaScript, providing both a graphical interface and an API. | 258 |