H2O.ai
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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.
- H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/
wave
PublicRealtime Web Apps and Dashboards for Python and Rh2ogpte-action
Publicpytriton
Public archivebrowser-use
Publicxgboost
Publicdriverlessai-recipes
Publicauthn-py
Publiccloud-discovery-py
Publictext-2-everything-py
Public- AI-powered flood intelligence system featuring h2oGPTe Agent + NVIDIA NIM integration (A2A), NAT pipeline with Nemotron 49B, and real-time flood risk assessment. Part of NVIDIA–H2O.ai AI for Good Blueprint for disaster response and monitoring.
h2ogpte-mcp-server
Publicsparkling-water
PublicSparkling Water provides H2O functionality inside Spark clusteropenwebui-h2oGPTe
Publich2o-meetups
Publicdoctr
Publicsnowflake-cortex-ai-mcp
Public- 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/
optuna
Publich2ogpte_langgraph_demo
Publicvllm
Publicmlops-dai-runtimes
Public archiveProduction ready templates for deploying Driverless AI (DAI) scorers. https://h2oai.github.io/dai-deployment-templates/LightGBM
PublicA 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.