Deeplearning4j VS Tablesaw

Compare Deeplearning4j vs Tablesaw and see what are their differences.

Deeplearning4j

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation. (by deeplearning4j)
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Deeplearning4j Tablesaw
13 4
13,424 3,441
0.5% 1.0%
6.5 4.8
9 days ago 7 days ago
Java Java
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.

Deeplearning4j

Posts with mentions or reviews of Deeplearning4j. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-29.

Tablesaw

Posts with mentions or reviews of Tablesaw. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-19.

What are some alternatives?

When comparing Deeplearning4j and Tablesaw you can also consider the following projects:

Deep Java Library (DJL) - An Engine-Agnostic Deep Learning Framework in Java

Morpheus - The foundational library of the Morpheus data science framework

Weka

JGraphT - Master repository for the JGraphT project

tensorflow - An Open Source Machine Learning Framework for Everyone

JGraphX

Smile - Statistical Machine Intelligence & Learning Engine

JUNG - JUNG: Java Universal Network/Graph Framework

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

GraphStream - Graphstream core

Apache Mahout - Mirror of Apache Mahout

Mines Java Toolkit - The Mines Java Toolkit