[petrpravda]

Adds JAX4J under Science. It provides a Java 25 tensor API combining NumPy-style broadcasting with automatic differentiation, JIT compilation and optional GPU backends.

I am the maintainer of JAX4J. The project has English documentation, an Apache-2.0 license and a 0.2.1 release published on Maven Central. The jax4j documentation covers the tensor API, automatic differentiation, compilation and batching. A runnable browser notebook demonstrates the tensor API.

Suggestion type

• Project
• Resource

Checklist

• I searched the list and existing issues for duplicates.
• I changed README_SOURCE.md, not the generated README.md.
• This pull request contains one suggestion.
• The suggestion is relevant to Java or the JVM and fits its chosen category.
• I used the canonical project or resource link.
• The suggestion is current and maintained.
• The concise, neutral description explains its distinguishing value and ends with punctuation.
• Licensing is clear and any restrictive terms are disclosed where applicable.

Validation: generator self-test, source validation, added-repository validation and git diff --check passed.

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Summary by cubic

Adds JAX4J to the Science section of the curated list. The library provides a Java 25 tensor API with NumPy-style broadcasting, automatic differentiation, JIT compilation, and optional GPU backends.

^{Written for commit b876451. Summary will update on new commits.}

[cubic-dev-ai]

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