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h2oai /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.

python java data-science machine-learning opensource r big-data spark deep-learning hadoop random-forest gpu naive-bayes h2o distributed pca gbm ensemble-learning automl h2o-automl

UpdatedNov 6, 2025
Jupyter Notebook

szilard /benchm-ml

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

python data-science machine-learning r spark deep-learning random-forest h2o xgboost gradient-boosting-machine

UpdatedSep 16, 2022
R

h2oai /h2o-tutorials

Tutorials and training material for the H2O Machine Learning Platform

python data-science machine-learning tutorial r deep-learning h2o

UpdatedOct 24, 2024
Jupyter Notebook

awesome-gradient-boosting-papers

benedekrozemberczki /awesome-gradient-boosting-papers

A curated list of gradient boosting research papers with implementations.

classifier machine-learning deep-learning random-forest h2o xgboost lightgbm gradient-boosting-machine adaboost decision-tree gradient-boosting-classifier classification-algorithm gradient-boosting boosting classification-trees xgboost-algorithm catboost gradient-boosted-trees classification-tree gradient-boosting-decision-trees

UpdatedMar 16, 2024
Python

h2oai /sparkling-water

Sparkling Water provides H2O functionality inside Spark cluster

machine-learning scala big-data spark integration h2o pyspark pysparkling rsparkling

UpdatedNov 5, 2025
Scala

kaiwaehner /kafka-streams-machine-learning-examples

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.

python java open-source machine-learning kafka deep-learning tensorflow h2o keras kafka-client kafka-streams dl4j keras-tensorflow h2oai deeplearning4j ksql

UpdatedDec 17, 2023
Java

jphall663 /interpretable_machine_learning_with_python

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

python data-science machine-learning data-mining h2o gradient-boosting-machine transparency decision-tree fairness lime accountability interpretability interpretable-ai interpretable-ml xai fatml interpretable interpretable-machine-learning iml machine-learning-interpretability

UpdatedJun 17, 2024
Jupyter Notebook

h2oai /mli-resources

H2O.ai Machine Learning Interpretability Resources

python data-science machine-learning data-mining h2o xgboost transparency jupyter-notebooks fairness accountability interpretability interpretable-ai interpretable-ml explainable-ml mli xai fatml interpretable-machine-learning iml machine-learning-interpretability

UpdatedDec 12, 2020
Jupyter Notebook

h2oai /h2o-meetups

Presentations from H2O meetups & conferences by the H2O.ai team

h2o presentations meetups h2oai

UpdatedOct 29, 2025
Jupyter Notebook

h2oai /awesome-h2o

A curated list of research, applications and projects built using the H2O Machine Learning platform

data-science machine-learning awesome deep-learning h2o awesome-list h2oai

UpdatedMay 18, 2023

matsuu /kataribe

Access log profiler based on response time

go nginx log profiler h2o apache analyzer varnishncsa

UpdatedJun 13, 2022
Go

AdrianAntico /AutoQuant

R package for automation of machine learning, forecasting, model evaluation, and model interpretation

r timeseries h2o regression supervised-learning xgboost classification gpu-acceleration lightgbm unsupervised-learning automl panel-data multiclass-classification automated-machine-learning catboost

UpdatedOct 27, 2025
R

jphall663 /GWU_data_mining

Materials for GWU DNSC 6279 and DNSC 6290.

python data-science machine-learning text-mining data-mining r h2o sas image-processing data-visualization image-recognition

UpdatedMay 27, 2025
Jupyter Notebook

laresbernardo /lares

Analytics & Machine Learning R Sidekick

visualization api marketing data-science machine-learning automation r puzzle analytics h2o rstats r-package predictive-modeling descriptive-statistics mmm automl rlanguage robyn

UpdatedNov 5, 2025
R

catboost /benchmarks

Comparison tools

quality benchmark gpu h2o regression kaggle speed comparison ranking xgboost classification lightgbm catboost

UpdatedAug 23, 2025
Jupyter Notebook

gregwchase /nih-chest-xray

Identifying diseases in chest X-rays using convolutional neural networks

deep-learning mxnet h2o keras convolutional-neural-networks nih chest-xrays chestxray14

UpdatedJan 7, 2018
Jupyter Notebook

kaiwaehner /ksql-fork-with-deep-learning-function

Deep Learning UDF for KSQL, the Streaming SQL Engine for Apache Kafka with Elasticsearch Sink Example

kafka deep-learning stream h2o udf ksql ksql-server ksql-udf kafka-ecosystem

UpdatedJul 31, 2018
Java

kennethleungty /End-to-End-AutoML-Insurance

An End-to-End Implementation of AutoML with H2O, MLflow, FastAPI, and Streamlit for Insurance Cross-Sell

python data-science machine-learning h2o automl mlops h2o-automl mlflow fastapi streamlit

UpdatedJun 9, 2022
Jupyter Notebook

ForestFlow /ForestFlow

ForestFlow is a policy-driven Machine Learning Model Server. It is an LF AI Foundation incubation project.

machine-learning h2o model-deployment

UpdatedFeb 21, 2024
Scala

h2oai /rsparkling

RSparkling: Use H2O Sparkling Water from R (Spark + R + Machine Learning)

data-science machine-learning r big-data spark deep-learning h2o sparklyr water

UpdatedJul 19, 2018
R

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