EvolvingActivationFunctions

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.

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.

An independent implementation of DeepMind's AlphaGoZero in Scala, using Deeplearning4J (DL4J)

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

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.