An Engine-Agnostic Deep Learning Framework in Java

A universal scalable machine learning model deployment solution

🔥🔥🔥Java免费离线AI算法工具箱，支持人脸识别，活体检测，表情识别、目标检测(支持视频流)、实例分割、行人检测、OCR文字识别、车牌识别、表格识别、语音识别、机器翻译等功能，Maven引用即可使用。支持PyTorch、Tensorflow，已集成 Mtcnn、InsightFace、SeetaFace6、YOLOv8~v12、PaddleOCR(PPOCRv5)、Whisper等主流模型

DJL Spring Boot Starter

Using reinforcement learning to train FlappyBird.

Spring Deep Java Library 通过利用DJL框架与其他Spring框架进行整合，进行深度学习模型训练和推导。

这里将paddle中的ocr等模型转为onnx格式，并利用java版深度框架djl加载这些onnx模型进行推理预测尝试。

Reinforcement learning with DJL

A Java NLP application that identifies names, organizations, and locations in text by utilizing Hugging Face's RoBERTa NER model through the ONNX runtime and the Deep Java Library.

Apache Camel AI Examples

Apache NiFi 1.10 DJL

Java spring boot boilerplate with a JWT authentication & Postgre database

Fast Deep Java Library，通过利用DJL框架与其他Spring框架进行整合，进行深度学习模型训练和推导。

重新整理深度学习相关知识。里面包含线性神经网络、多层感知机、卷积神经网络、现代神经网络、循环神经网络等。包含：算法、代码、项目、电子书等。让深度学习可平易近人。

This library aims to provide Java developers with an easy-to-use, high-performance solution for local AI model loading and inference/本项目致力于提供高封装性的 AI 能力，Java 开发工程师无需关注任何底层细节，只需引入依赖即可在原有 Java 项目中进行本地 AI 推理

java with dbnet, crnn for ocr.本项目利用java,javacv,onnx以及djl矩阵计算等技术加载文本检测模型dbnet与文本识别模型crnn，完成ocr的识别推理。

Getting started with Deep Java Library DJL

Coin Sniper is an AI-powered trading bot that reacts to new Binance and exchange listings, capturing short-term opportunities. Built with Spring Boot WebFlux, R2DBC, and DJL, it features real-time polling, AI risk scoring, trade execution, backtesting, and a web dashboard.

Universal LLM Framework designed to abstract away the technical mumbo-jumbo of using pre-trained, or creating new ai llm's.