This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
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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 learn...
Apache Beam is a unified programming model for Batch and Streaming data processing.
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
The official Java SDK for Model Context Protocol servers and clients. Maintained in collaboration with Spring AI
Java client for Kubernetes & OpenShift
Model-rocketry aerodynamics and trajectory simulation software
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
Spring Integration provides an extension of the Spring programming model to support the well-known Enterprise Integration Patterns (EIP)
A scope tree based Dependency Injection (DI) library for Java / Kotlin / Android.
A Java library for parsing and building iCalendar data models
A tool for generating immutable model objects
BENERATOR is a leading software solution to generate, obfuscate, pseudonymize and migrate data for development, testing, and training purposes with a model-driven approach.
Integrate with the latest language models, image generation, speech, and deep learning frameworks like ChatGPT, DALL·E, and Cohere using few java lines.
Profile your Tensorflow Lite model on-device
American Sign Language Detection is a deep learning end to end project where we can detect American Sign Language.
The open-source safety layer for AI agents — block unsafe tool calls, require approval, enforce budgets, audit, replay.
Stateful actors on Apache Flink 2.x and Java 21 — durable per-key state, exactly-once messaging, Kafka and Kinesis I/O, Kubernetes-native deployment. Continues the Apache Stateful Functions programming model on the modern Flink line.
The EU & UK compliance plane for Google ADK.
Immuto - Java Records-first object mapper.An annotation processor generates type-safe mapper implementations at compile time; the generated code calls each target record's canonical constructor directly - zero runtime reflection, sealed class support, full Java 21+ idioms.
Demo of high performance AI model (pmml export) evaluator api base on Vert.x, Supports dynamic routing configuration for multiple pmml models via JSON
Vertx-effect brings functional effects to the Vert.x ecosystem and is inspired by Erlang’s actor model. Its manifesto emphasizes principles such as maximizing the use of verticles for scalability, maintaining single responsibility for each verticle, and prioritizing simplicity to enhance reliability and ease debugging.