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84 public repositories
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This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built with Python, H2O, TensorFlow, Keras, DeepLearning4 and other technologies.
Updated
Dec 17, 2023
Java
Presentations from H2O meetups & conferences by the H2O.ai team
Updated
Apr 11, 2023
Jupyter Notebook
Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...
A curated list of research, applications and projects built using the H2O Machine Learning platform
Deep Learning UDF for KSQL for Streaming Anomaly Detection of MQTT IoT Sensor Data
Updated
Dec 16, 2023
Java
Performance of various open source GBM implementations
Updated
Jun 20, 2024
HTML
Sample AI Apps built with H2O Wave.
Updated
Oct 24, 2024
Python
Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)
Showcase for using H2O and R for scoring for marketing campaign in retail
Contains benchmarking and interpretability experiments on the Adult dataset using several libraries
Updated
May 19, 2019
Jupyter Notebook
This repository covers h2o ai based implementations
Updated
Nov 7, 2019
Jupyter Notebook
Shapley Values with H2O AutoML Example (ML Interpretability)
Updated
Mar 17, 2019
HTML
R functions for project setup, data cleaning, machine learning, SuperLearner, parallelization, and targeted learning.
MLflow-tracking server example with Minio and H2O
Updated
Oct 25, 2019
Jupyter Notebook
Updated
Oct 31, 2024
Java
Updated
May 13, 2024
Python
Explains machine learning models fast using the Anchor algorithm originally proposed by marcotcr in 2018
Updated
Jun 29, 2022
Java
Prinz provides ML integrations for Nussknacker.
Updated
Apr 15, 2022
Scala
Updated
Apr 20, 2019
Jupyter Notebook
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