3,2,1 – AI Java Libraries!

Introduction

This article presents a comprehensive overview of Artificial Intelligence (AI) libraries in Java, organized as a countdown list to the most sought-after and relevant libraries. We cover various AI domains, including Natural Language Processing, Machine Learning, Neural Networks, and more.

3,2,1 – AI Java Libraries!

20. Eva
    • A simple Java OOP evolutionary algorithm framework.
21. Java Genetic Algorithms Package (JGAP)
    • A genetic programming component provided as a Java framework.
22. ECJ 23
    • A Java-based research framework with strong algorithmic support for genetic algorithms.
23. Watchmaker Framework
    • A framework for implementing genetic algorithms in Java.
24. Jenetics
    • An advanced genetic algorithm written in Java.
25. Acceleo
    • An open-source code generator for Eclipse that generates code from EMF models.
26. Spring Roo
    • A Rapid Application Development (RAD) tool for Java developers.
27. Tweety
    • A collection of Java frameworks for logical aspects of AI and knowledge representation.
28. Eye
    • An open-source reasoning engine for performing semi-backward reasoning.
29. d3web
    • An open-source reasoning engine for developing, testing, and applying problem-solving knowledge.
30. PowerLoom Knowledge Representation and Reasoning System
    • A platform for creating intelligent, knowledge-based applications.
    • You may want to learn about its predecessor, LOOM
31. Apache Jena
    • An open-source Java framework for building semantic web and linked data applications.
32. Timefold
    • An open-source solver AI for Java, optimizing various NP-hard problems.
33. OptaPlanner
    • A Java-based constraint solver for various optimization problems.
34. Neuroph
    • A lightweight Java framework for neural network creation.
35. Encog Machine Learning Framework
    • A Java machine learning framework supporting many ML algorithms.
36. Weka
    • A collection of machine learning algorithms for data mining tasks.
37. RapidMiner
    • A data science platform providing various machine learning algorithms through GUI and Java API.
38. Stanford CoreNLP
    • A popular Java NLP framework with various tools for NLP tasks.
39. Apache OpenNLP
    • An open-source Natural Language Processing Java library with a comprehensive API.

Another few Java Machine Learning libraries that are highly regarded or emerging with less usage, but significant potential:

• JSAT: https://github.com/EdwardRaff/JSAT
• ADAMS: https://adams.cms.waikato.ac.nz/
• MAHOUT: https://mahout.apache.org/
• LangChain4J: https://docs.langchain4j.dev/

Honorable Mentions

• Deeplearning4j: A deep learning library for the JVM.
• Deep Java Library (DJL): An open-source library developed by AWS Labs for machine learning.

AI Challenges

To practice and test your AI skills, consider participating in these competitions:

• Kaggle
• Angry Birds AI Competition
• AI Challenges
• AI in Games
• Battlecode
• Vindinium

Java Times Are Here Again

This list showcases the diverse landscape of AI libraries available in Java, from specialized genetic algorithm frameworks to comprehensive machine learning and NLP tools. Whether you’re working on expert systems, neural networks, or natural language processing, there’s likely a Java library to support your AI development needs. As the field of AI continues to evolve rapidly, staying updated with these tools can help you create more innovative and efficient AI applications.

To explore how other languages intersect with AI and which are most relevant in the field of artificial intelligence, visit our AI Relevance Ranking of Programming Languages page.

For an overview of of the most currently most popular programming languages, see our page covering 16 of the most in-use languages.

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