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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。

License: Apache License 2.0

Java 100.00%
swagger-ui spring mxnet spring-boot djl tensorflow pytorch java

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spring-djl's Issues

下一个版本计划

此项目是依托于AWS DJL所做的一个开源Java训练AI模型和推理模型的一个解决方案,因为精力有限缝缝补补的更新,所以接下来每周花1~2天时间专心来开发此项目

下个版本计划

  1. 整合百度PaddlePaddle Engine 来做一些百度公开模型的推理例子
  2. 结合当前例子(tensorflow 里的肺炎检测)做一个医生端可以使用的功能(包括前端页面,和一些逻辑接口)
  3. 尝试通过 mxnet 来训练 (LOLM手游-英雄联盟素材) 里简单的模型

考虑集成bot-ui 用于spring-djl的前端

bot-ui,这是github open source 地址

是一个可视化前端的🤖️组件,这里考虑接入,可以把接口和bot-ui构建出来,用户可直接通过和机器人交互即可,当然也考虑是不是起一个 spring-djl-ui project 专门做前端这块

添加Paddle模块的支持

等DJL官方正式发布Paddle的jar依赖,就需要引入Paddle的支持

1.引入Paddle模块
2.官网找一个Paddle的Model 然后参考DJL的示例做一个简单的inference demo

考虑后续 使用阿里云保存模型

因为目前如果把模型下载下来保存到工程,工程会导致非常大,clone的时候很慢,考虑使用阿里云是因为加载模型可以通过阿里云的公网ip地址进行加载,然后再进行推理。

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