H2O VS Keras

Compare H2O vs Keras and see what are their differences.

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. (by h2oai)
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H2O Keras
3 48
5,812 55,156
0.6% 0.6%
9.9 9.9
6 days ago 6 days ago
Jupyter Notebook Python
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

H2O

Posts with mentions or reviews of H2O. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-31.
  • 20+ Free Tools & Resources for Machine Learning
    5 projects | dev.to | 31 Mar 2022
    H2O.ai H2O is a deep learning tool built in Java. It supports most widely used machine learning algorithms and is a fast, scalable machine learning application interface used for deep learning, elastic net, logistic regression, and gradient boosting.
  • Data Science Competition
    15 projects | dev.to | 25 Mar 2022
    H20
  • [PAID] Looking for Phaser.js game developer
    1 project | reddit.com/r/INAT | 9 Dec 2021
    Built and founded various web3 projects for last 2 years such as OpenArt and 8RealmDojo for last 2 years as well as being high performing student in CTU in Prague and SeoulTech. Was offered internships in Amazon and H2O.ai. Created robots assistants using robots from SoftBank.

Keras

Posts with mentions or reviews of Keras. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-09.

What are some alternatives?

When comparing H2O and Keras you can also consider the following projects:

MLP Classifier - A handwritten multilayer perceptron classifer using numpy.

scikit-learn - scikit-learn: machine learning in Python

tensorflow - An Open Source Machine Learning Framework for Everyone

xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

TFLearn - Deep learning library featuring a higher-level API for TensorFlow.

MLflow - Open source platform for the machine learning lifecycle

Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

pytorch-lightning - The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

skflow - Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration