Skip to content
#

h2o

Star

Here are 169 public repositories matching this topic...

Language: All
Filter by language
All 169 R 41 Jupyter Notebook 36 Python 19 HTML 14 Java 14 Shell 8 Dockerfile 4 Go 4 JavaScript 3 Ruby 3
Sort: Best match
Sort options
Best match Most stars Fewest stars Most forks Fewest forks Recently updated Least recently updated

h2oai / h2o-3

Star

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 multi-threading opensource r big-data spark deep-learning hadoop random-forest gpu naive-bayes h2o distributed pca gbm ensemble-learning automl
  • Updated Jul 28, 2021
  • Jupyter Notebook

rapidsai / cudf

Star
Open

[FEA] Series datetime is_year_end and is_year_start

beckernick
beckernick commented Jul 7, 2021

For feature engineering tasks, I'd like to be able to determine whether a datetime is the beginning or end of a year, like I can in pandas.

import pandas as pd
​
s = pd.Series(["2021-02-27", "2020-03-31"], dtype="datetime64[ms]")
s.dt.is_year_end
0    False
1    False
dtype: bool
import pandas as pd
​
s = pd.Series(["2021-01-01", "2020-04-01"], dtype="datet
Read more
cuDF (Python) feature request good first issue
Find more good first issues →
awesome-gradient-boosting-papers

benedekrozemberczki / awesome-gradient-boosting-papers

Sponsor Star

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
  • Updated Jul 25, 2021
  • Python

kaiwaehner / kafka-streams-machine-learning-examples

Star

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
  • Updated Nov 26, 2020
  • Java

jphall663 / interpretable_machine_learning_with_python

Star

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
  • Updated Feb 10, 2021
  • Jupyter Notebook
RemixAutoML

AdrianAntico / RemixAutoML

Star

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, recommenders, and EDA.

r timeseries h2o regression supervised-learning xgboost classification gpu-acceleration lightgbm recommender-system feature-engineering unsupervised-learning panel-data multiclass-classification automated-machine-learning anomaly-detection catboost intermittent-demand funnel-data
  • Updated Jul 27, 2021
  • R

Improve this page

Add a description, image, and links to the h2o topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the h2o topic, visit your repo's landing page and select "manage topics."

Learn more