Neural networks implementation in Java, based on Stanford cs231n

Fast Scala and nd4j based machine learning framework

Yelp Image Classification Model

Projeto feito durante a graduação, implementando sistema preditivo de doeças cardiovasculares baseado em historico familiar e autorelato dos pacientes, usando rede neural, e aprendizado de máquina.

RetinaFace: Single-stage Dense Face Localisation in the Wild, published in 2019. Reimplemented in java, with pretrained weights.

fastKDE implemented for the JVM with Nd4j

Spring Boot application that classifies images of coriander (Qazbor) and parsley (Maadanous) herbs using a deep learning model built with DeepLearning4j.

Yelp Image Classification Model

电影推荐系统（Movie Recommendation System，后端：Spring Boot + Spring Security + Spring Task + Redis + MyBatis-Plus）前后端分离项目

numsca is numpy for scala

Java MTCNN face detection using ND4J and trained TensorFlow models

目标是提供一个完整的Java机器学习(Machine Learning/ML)框架,作为人工智能在学术界与工业界的桥梁. 让相关领域的研发人员能够在各种软硬件环境/数据结构/算法/模型之间无缝切换. 涵盖了从数据处理到模型的训练与评估各个环节,支持硬件加速和并行计算,是最快最全的Java机器学习库.

dl4j 基础教程 配套视频：https://space.bilibili.com/327018681/#/