Popular GitHub Repositories for Deeplearning4j

Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)

This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built with Python, H2O, TensorFlow, Keras, DeepLearning4 and other technologies.

Federated Learning: Client application doing classification of images and local training. Works better with the Parameter Server at https://github.com/mccorby/PhotoLabellerServer

Making custom object detector using Yolo (Java and Python)

Pujangga - Indonesian Natural Language Processing Tool with REST API, an Interface for InaNLP and Deeplearning4j's Word2Vec

All DeepLearning4j projects go here.

Java based Chess Board Scanner, which converts 2D chess board image into a machine readable format a.k.a. Forsyth–Edwards Notation (FEN). It uses OpenCV and Deeplearning4j frameworks, complemented with some proprietary algorithms implemented for realizing the goal. It currently supports the chess board and pieces sets of the most common online chess platforms chess.com and lichess.org.

Documentation for Deeplearning4j - Deep Learning for the JVM, Java & Scala

Federated Learning: Parameter Server doing aggregation of updates to a model coming from clients participating in a Federated Learning setup. See also the Android application companion at https://github.com/mccorby/PhotoLabeller

Java Convolutional Neural Network example for Hand Writing Digit Recognition

TextDigester: document summarization java library

医疗系统知识图谱问答

Framework for neuroevolution of output functions

HackerNews analytics using word2vec

An implement to find closet/nearest word (semantic aspect) using word2vec and deeplearning4j.

Training Word2Vec models in Java and Python 3

一个深度学习机器寻找最近的词语。

本项目采用字节对编码 (BPE) 分词方法和 Word2Vec 模型，从文本语料库生成词嵌入。该项目利用 Apache Hadoop 进行分布式处理，并包含用于评估嵌入最佳维度的指标。

A reinforcement learning implementation to train a tictactoe player.

A Java Spring Boot application that uses DL4J (Deeplearning4j) to build and train an AI model for predicting player suitability. It supports CRUD operations with MySQL and automatically replaces the trained model whenever performance data is updated.