Popular GitHub Repositories for Dl4j

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

All DeepLearning4j projects go here.

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

face recognition with deep learning

Face recognition using mtcnn build on dl4j

Framework for neuroevolution of output functions

DL4J's Word2Vec walkthrough, in Clojure

Weka package providing a Recurrent Neural Network forecasting model.

A javafx application that uses dl4j to detect objects in the image stream from your webcam

This project implements a distributed pipeline for NLP model training using Apache Spark and DeepLearning4J (DL4J). The methodology utilizes a sliding window approach for data preparation, positional embeddings for token encoding, and Word2Vec model training with parallel processing. The model and training process is designed for scalability and op