Show HN: Brain4J – a lightweight, fast ML framework for Java with GPU support (github.com)

Brain4J is a newly highlighted lightweight machine-learning framework for pure Java that emphasizes portability, speed and optional GPU acceleration. The project (v2.9.1) is available via Maven Central or JitPack (artifact coordinates: com.github.brain4j-org.brain4j:brain4j-core:2.9.1 and ...:brain4j-math:2.9.1), comes with an installation guide and documentation on a GitHub Wiki, and is released under the permissive Apache 2.0 license. The repo includes example material (MNIST screenshots) and contact channels for the maintainer xEcho1337 (Discord/Telegram), making it straightforward for JVM developers to evaluate and adopt. For the AI/ML community this matters because it offers a Java-native alternative to the Python-dominated toolchain, targeting teams that need tight JVM integration, easier deployment in enterprise or embedded Java environments, and improved runtime performance through GPU support. While the announcement emphasizes optimization and speed, developers should check the docs for specifics of the GPU backend and supported operators. Overall, Brain4J lowers the friction of building and shipping ML models inside Java stacks, which could accelerate adoption of ML features in JVM-centric applications and systems where avoiding cross-language interop is a priority.