Java version of LangChain
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Updated
Jul 15, 2025 - Java
Java version of LangChain
LakeSoul is an end-to-end, realtime and cloud native Lakehouse framework with fast data ingestion, concurrent update and incremental data analytics on cloud storages for both BI and AI applications.
Jlama is a modern LLM inference engine for Java
Practical Llama 3 inference in Java
LangStream. Event-Driven Developer Platform for Building and Running LLM AI Apps. Powered by Kubernetes and Kafka.
Simple WebView Wrapper for huggingChat
全语言制品仓库,涵盖npm、Maven、PyPi、Docker、Gradle、SBT、Cocoapods、Swift、RPM、Debian、PHP、Go、Pub、Ivy、NuGet、Conda、Cargo、Conan、Yarn、GitLFS、Helm、OHPM等主流工具,涵盖Huggingface 等主流AI模型仓库的代理与同步
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.
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
Simple Application as GUI for a From-Scratch Ai Model
MovieMate: A dynamic movie recommendation app created with Android Studio and Python. It utilizes web scraping, pretrained models, and a Flask server for personalized recommendations and Langchain for insightful insights.
A high-performance Llama3 implementation using Micronaut and GraalVM Native Image
Backend do "Duck Project", Projeto do 2° Semestre de ADS em 2023
Backend for AI Portrait Generator using Spring Boot. Provides APIs for generating AI-based portraits, containerized with Docker for seamless deployment.
Identify algorithmic structures in source code using Abstract Syntax Trees (ASTs) and a CodeBERTa-based classifier. Combines syntactic analysis with transformer embeddings for structure classification from small datasets.
The Spring AI Demo Application provides a simple but powerful demonstration of integrating Google Gemini AI and Hugging Face API for generating both text and images. With the included Swagger UI and API documentation, it's easy to interact with the application and test the AI capabilities
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