H2O.ai's repositories
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.
h2o-llmstudio
H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://h2oai.github.io/h2o-llmstudio/
h2o-tutorials
Tutorials and training material for the H2O Machine Learning Platform
sparkling-water
Sparkling Water provides H2O functionality inside Spark cluster
driverlessai-recipes
Recipes for Driverless AI
enterprise-h2ogpte
Client Code Examples, Use Cases and Benchmarks for Enterprise h2oGPTe RAG-Based GenAI Platform
dai-deployment-templates
Production ready templates for deploying Driverless AI (DAI) scorers. https://h2oai.github.io/dai-deployment-templates/
sql-sidekick
Experiment on QnA tabular data using LLMs and SQL
genai-app-store-apps
GenAI apps from H2O made Wave
cloud-discovery-py
H2O Cloud Discovery Client.
h2o_genai_training
Repository for H2O.ai's Generative AI Training
ec2-github-runner
On-demand self-hosted AWS EC2 runner for GitHub Actions
haic-telemetry-export
Export HAIC Telemetry Data From Hybrid Clouds
SiriLLama
Use locally running LLMs directly from Siri 🦙🟣