Deeplearning4j VS jep

Compare Deeplearning4j vs jep 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 jep
13 4
13,424 1,251
0.5% 2.1%
6.5 7.4
6 days ago 4 months ago
Java C
Apache License 2.0 GNU General Public License v3.0 or later
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.

jep

Posts with mentions or reviews of jep. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-29.
  • How do you use a python model in a java code
    1 project | /r/java | 18 May 2023
    You could look toward Java embedded python. I’m using it myself and quite happy with it.
  • Best way to combine Python and Java?
    10 projects | /r/java | 29 Oct 2022
    We used https://github.com/ninia/jep for similar thing.
  • How to Draw Beautiful Chart like Matplotlib in Java or Scala?
    2 projects | dev.to | 11 May 2021
    There is a library in the world that allow you to use CPython from Java code, and this one was a candidate because we can use both Python3 and numpy. However, we had to install a separate environment-dependent library to use JNI, and we also had to install the library from pip on the Python side, which was too much work for something as simple as drawing graphs. So in the end I have decided to implement it independently of these libraries at all.

What are some alternatives?

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

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

matplotlib4j - Matplotlib for java: A simple graph plot library for java, scala and kotlin with powerful python matplotlib

Weka

javacpp-embedded-python - With this library, you can embed Python to your Java or Scala project. The main purpose of this library is to use Python libraries from Java or Scala.

tensorflow - An Open Source Machine Learning Framework for Everyone

Pyto - Python IDE for iOS with NumPy, Matplotlib, Pandas, SciPy and SciKit-Learn

Smile - Statistical Machine Intelligence & Learning Engine

Programming - This repo contains my Projects and practice code of various languages which I have learned during my Graduation in Computer engineering.

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

onnxruntime-extensions - onnxruntime-extensions: A specialized pre- and post- processing library for ONNX Runtime

Apache Mahout - Mirror of Apache Mahout

JPassport - JPassport