17 results found Sort:
- Filter by Primary Language:
- Jupyter Notebook (7)
- R (4)
- Scala (2)
- Go (1)
- Java (1)
- Python (1)
- +
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-Me...
Created
2014-03-03
32,553 commits to master branch, last one 7 days ago
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 algor...
Created
2015-03-28
522 commits to master branch, last one 5 years ago
Tutorials and training material for the H2O Machine Learning Platform
Created
2015-08-05
1,031 commits to master branch, last one 6 months ago
A curated list of gradient boosting research papers with implementations.
h2o
xgboost
adaboost
boosting
catboost
lightgbm
classifier
decision-tree
deep-learning
random-forest
machine-learning
gradient-boosting
xgboost-algorithm
classification-tree
classification-trees
gradient-boosted-trees
classification-algorithm
gradient-boosting-machine
gradient-boosting-classifier
gradient-boosting-decision-trees
Created
2019-05-11
206 commits to master branch, last one 8 months ago
Sparkling Water provides H2O functionality inside Spark cluster
Created
2014-10-13
3,889 commits to master branch, last one 2 days ago
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 ...
Created
2017-08-16
145 commits to master branch, last one 3 years ago
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
Created
2018-03-14
169 commits to master branch, last one about a year ago
Presentations from H2O meetups & conferences by the H2O.ai team
Created
2015-01-22
526 commits to master branch, last one about a year ago
A curated list of research, applications and projects built using the H2O Machine Learning platform
Created
2017-01-25
122 commits to master branch, last one about a year ago
Access log profiler based on response time
Created
2014-11-10
82 commits to master branch, last one 3 years ago
Materials for GWU DNSC 6279 and DNSC 6290.
Created
2016-01-12
457 commits to master branch, last one about a year ago
R package for automation of machine learning, forecasting, model evaluation, and model interpretation
Created
2018-09-11
5,279 commits to master branch, last one 3 months ago
Analytics & Machine Learning R Sidekick
Created
2018-07-18
1,826 commits to main branch, last one 29 days ago
Comparison tools
Created
2017-07-17
68 commits to master branch, last one 5 months ago
An End-to-End Implementation of AutoML with H2O, MLflow, FastAPI, and Streamlit for Insurance Cross-Sell
Created
2021-01-26
74 commits to main branch, last one 2 years ago
ForestFlow is a policy-driven Machine Learning Model Server. It is an LF AI Foundation incubation project.
Created
2019-10-09
88 commits to master branch, last one 10 months ago
Forecasting with H2O AutoML. Use the H2O Automatic Machine Learning algorithm as a backend for Modeltime Time Series Forecasting.
Created
2021-03-04
78 commits to master branch, last one 10 months ago