deeplearning4j

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.

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.

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

Code for Java Deep Learning Cookbook

Plain Stock Close-Price Prediction via Graves LSTM RNNs

Weka package for the Deeplearning4j java library

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

See new version https://github.com/mccorby/PhotoLabeller

Clojure wrapper for deeplearning4j

Making custom object detector using Yolo (Java and Python)

All DeepLearning4j projects go here.

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

source code accompanying "Deep Learning for Search" book

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

Certifai Training Labs Repository using Eclipse Deeplearning4j

Arabic Handwritten Characters Recognition using Deeplearning4j

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

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.

A deeplearning based captcha solver for http://bsr.twse.com.tw/bshtm/