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- 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.
- A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
h2o-llmstudio
PublicH2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/- Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://gpt-docs.h2o.ai/
- Realtime Web Apps and Dashboards for Python and R
browser-use
Publicdatatable
PublicA Python package for manipulating 2-dimensional tabular data structurescloud-discovery-py
Publicdriverlessai-recipes
Publicarticle-information-2019
PublicArticle for Special Edition of Information: Machine Learning with Pythondoctr
Publichaic-telemetry-export
Publicmlops-dai-runtimes
Public archiveProduction ready templates for deploying Driverless AI (DAI) scorers. https://h2oai.github.io/dai-deployment-templates/open-webui
Publicgenai-app-store-apps
Public- Sparkling Water provides H2O functionality inside Spark cluster
vllm-joeg
Publicswagger-codegen
PublicAITD
Publich2o_genai_training
Publicgo-druid
Public