An Engine-Agnostic Deep Learning Framework in Java
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Updated
Oct 24, 2024 - Java
An Engine-Agnostic Deep Learning Framework in Java
Demo applications showcasing DJL
A universal scalable machine learning model deployment solution
The Java implementation of Dive into Deep Learning (D2L.ai)
Using reinforcement learning to train FlappyBird.
Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.
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。
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 NiFi 1.10 DJL
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。
삼성청년SW아카데미(SSAFY 6기) 2학기 특화프로젝트 - AI를 이용한 식단 관리 및 맨몸 운동 보조 서비스
Scans and solves Sudoku Puzzles from images using AI
Customer Predictor is a small project that uses neural networks to predict customer behavior. The use and integration of this project into a larger system is questionable, since it was actually only developed for presentation. My test in the context of Minecraft mini games shows how to use the prediction.
Getting started with Deep Java Library DJL
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