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Artifacts using DJL Release For PyTorch Native Binaries (11)
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1. MOA: Massive Online Analysis20 usages

nz.ac.waikato.cms.moa » moaGPL

Massive On-line Analysis is an environment for massive data mining. MOA provides a framework for data stream mining and includes tools for evaluation and a collection of machine learning algorithms. Related to the WEKA project, also written in Java, while scaling to more demanding problems.
Last Release on Jul 18, 2024

2. Camel :: AI :: Deep Java Library8 usages

org.apache.camel » camel-djlApache

Camel Deep Java Library support
Last Release on May 30, 2025

3. DJL Spring Boot Starter PyTorch Auto3 usages

ai.djl.spring » djl-spring-boot-starter-pytorch-autoApache

DJL PyTorch Spring Boot starter project with automatic platform detection
Last Release on Jan 21, 2024

4. DeepImageJ3 usages

com.github.deepimagej » deepimagej-pluginBSD

A user-friendly plugin to run deep learning models in ImageJ.
Last Release on Dec 8, 2022

5. Face Recognition Core1 usages

io.github.jmformenti » face-recognition-coreApache

Face Recognition Core
Last Release on Dec 10, 2022

6. Deep Java Library Serving

ai.djl » servingApache

Deep Java Library - serving
Last Release on Jul 8, 2021

7. Derand

com.netflix.netflixoss.derand » derandApache

derand
Last Release on Apr 1, 2021

8. App

com.netflix.netflixoss.test » appApache

app
Last Release on Apr 3, 2024

9. DeepImageJ

io.github.deepimagej » DeepImageJ_BSD

A user-friendly plugin to run deep learning models in ImageJ.
Last Release on Jul 12, 2021

10. Face Recognition Java

io.github.jmformenti » face-recognition-javaApache

A face recognition pipeline implementation to do face detection and face identification in Java
Last Release on Dec 10, 2022