benchm-ml by szilard

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.).

created at March 28, 2015, 12:34 a.m.

R

148 +0

1,869 +0

334 +0

GitHub
USelectricity by RamiKrispin

Forecast the US demand for electricity

created at Jan. 14, 2021, 1:03 p.m.

R

18 +0

100 +0

14 +0

GitHub
h2oparsnip by stevenpawley

Model Wrappers for H2O models

created at Jan. 27, 2020, 4:24 a.m.

R

1 +0

19 +0

3 +0

GitHub
splash by kdpsingh

Splashing a User Interface onto h2o MOJO Files

created at March 5, 2021, 11:57 a.m.

R

2 +0

5 +0

0 +0

GitHub