H2O vs awesome-embedding-models

H2O

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.

Source Code Changelog

A curated list of awesome embedding models tutorials, projects and communities.

Compare H2O and awesome-embedding-models's popularity and activity

Popularity

8.8

Stable

Activity

9.7

Growing

Popularity

6.0

Stable

Activity

0.0

Stable

H2O		awesome-embedding-models
	Repository
6,746	Stars	1,706
384	Watchers	106
1,988	Forks	248
13 days	Release Cycle	-
v3.38.0.3	Latest Version	-
2 days ago	Last Commit	about 5 years ago
	More
Jupyter Notebook	Language	Jupyter Notebook
Apache License 2.0	License	MIT License
Machine Learning	Tags	Text Processing, Natural Language Processing, Machine Learning, Linguistic, Artificial Intelligence

Interest over time of H2O and awesome-embedding-models

Note: It is possible that some search terms could be used in multiple areas and that could skew some graphs.

The line chart is based on worldwide web search for the past 12 months.
If you don't see the graphs
either there isn't enough search volume
or you need to refresh the page

More comparisons

View all 55 Machine Learning packages

Do not miss the trending Python projects and news
» Subscribe to our newsletter «

H2O VS awesome-embedding-models

Compare H2O and awesome-embedding-models's popularity and activity

Interest over time of H2O and awesome-embedding-models

More comparisons

H2O

VS

awesome-embedding-models