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

rock-paper-scissors game with deep learning

Classification of Cardiac Arrhythmia and Indentifying Suspicious URLs with Spark ML and LSTM Networks

Implementation of an AlexNet architecture in DL4J to make predictions on the classical CIFAR-10 dataset

Simple show case of consuming twitter api and performing sentiment analysis over tweets

Classes to create a visualisation of a Deeplearning4j MultiLayerNetwork or ComputationGraph by generating Graphviz DOT files from the underlying Dl4J objects.

Simple 2-layered feed-forward network trained on MNIST, using Deeplearning4j

A tenhou client for deeplearning4j reinforcement learning written in scala but supposed to be used by java dp4j

This project implements a Byte Pair Encoding (BPE) tokenization approach along with a Word2Vec model to generate word embeddings from a text corpus. The implementation leverages Apache Hadoop for distributed processing and includes evaluation metrics for optimal dimensionality of embeddings.

A reinforcement learning implementation to train a tictactoe player.

Web application that shows a MNIST predictive model

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

Deep Learning on Apache Spark

Simple online learning example using Apache Kafka

Simple online learning example using Akka