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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 pytor... Read more

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/#/

Weka package for the Deeplearning4j java library

Plain Stock Close-Price Prediction via Graves LSTM RNNs

Code for Java Deep Learning Cookbook

deeplearning4j常见问题集合

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