Machine Learning

The Internals of Spark on Kubernetes Online Book

KotlinDL is a high-level Deep Learning API written in Kotlin and inspired by Keras. Under the hood it is using TensorFlow Java API. KotlinDL offers simple APIs for training deep learning models from scratch, importing existing Ker

Dagli is a machine learning framework that makes it easy to write bug-resistant, readable, efficient, maintainable and trivially deployable models in Java 9+ (and other JVM languages).

This is an updated version for the Mario AI Framework. As the first version was released in 2009, this is the tenth anniversary edition, integrating features from all previous versions and adding several new features.

Tribuo is a machine learning library in Java that provides multi-class classification, regression, clustering, anomaly detection and multi-label classification. Tribuo provides implementations of popular ML algorithms and also wra

Spark-ctr-models CTR prediction models based on spark. Easy to use and we realized most common models for CTR prediction. The most difference is that we not only implement model trains，but also make it easy to parse the

Apache PredictionIO Apache PredictionIO is an open source machine learning framework for developers, data scientists, and end users. It supports event collection, deployment of algorithms, evaluation, querying predictive

Spark-RSVD Spark-RSVD is a lib to compute approximate SVD decomposition of large sparse matrices (up to 100 million rows and columns) using an iterative algorithm for speed and efficiency. The iterative algorithm is base

SUSI.AI Server SUSI.AI is an intelligent Open Source personal assistant. It is capable of chat and voice interaction by using APIs to perform actions such as music playback, making to-do lists, setting a

Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)

Deep Java Library (DJL) Overview Deep Java Library (DJL) is an open-source, high-level, framework-agnostic Java API for deep learning. DJL is designed to be easy to get started with and simple to use for

Agate Agate is a library designed to support evaluation of deep learning models encoded in ONNX. Quick Start Agate supports Scala 2.11, 2.12, and 2.13. To include Agate in your SBT project, use the followin

Tablesaw Overview Tablesaw is Java for data science. It includes a dataframe and a visualization library, as well as utilities for loading, transforming, filtering, and summarizing data. It's fast and ca

open-source trading framework for java, supports backtesting and live trading with exchanges

Anime4K Anime4K is a set of open-source, high-quality real-time anime upscaling/denoising algorithms that can be implemented in any programming language. The simplicity and speed of Anime4K allows the user to watch ups

JAXnet JAXnet is a deep learning library based on JAX. JAXnet's functional API provides unique benefits over TensorFlow2, Keras and PyTorch, while maintaining user-friendliness, modularity and scalability: More rob

Check out our website! Lantern Lantern is the implementation of a machine learning framework prototype in Scala. The design of Lantern is built on two important and well-studied programming language concepts

CTRmodel CTR prediction model based on pure Spark MLlib, no third-party library. Realized Models Naive Bayes Logistic Regression Factorization Machine Random Forest Gradient Boosted Decision Tree

Nexus 🚧 Ongoing project 🚧 Status: Prototype 🚧 Nexus is a prototypical typesafe deep learning system in Scala. Nexus is a departure from common deep learning libraries such as TensorFlow, PyTo

Scalable Approximate Nearest Neighbor Search (ScANNS) ScANNS is a nearest neighbor search library for Apache Spark originally developed by Namit Katariya from the LinkedIn Machine Learning Algorithms team. It enables ne

Real-Time Rotation-Invariant Face Detection and Tracking (200FPS on CPU) Click the image to watch the video! Face Warping Face Smoothing Face Color Transfer License

Kotlin Simple Neural Network PLEASE NOTE: This project has been forked and moved here to showcase machine learning algorithms beyond neural networks. This is a simple neural network application that will suggest a LIGH

Java Machine Learning Library Simple machine learning (neural network) library for Java. The library is mainly for educational purposes, and it is way too slow to be used on actual projects. The Korean translation of t

Datumbox Machine Learning Framework The Datumbox Machine Learning Framework is an open-source framework written in Java which allows the rapid development Machine Learning and Statistical applications. The main f

ScalphaGoZero ScalphaGoZero is an independent implementation of DeepMind's AlphaGo Zero in Scala, using Deeplearning4J (DL4J) to run neural networks. You can either run experiments with models built in DL4J directly or

Neuroph - Java Neural Network Platform Neuroph In order to make Neuroph project easier to use, navigate and maintain this repo has been splitted in two repos which contain Neuroph Framework and Neuroph Studio GUI. These

LibRec (http://www.librec.net) is a Java library for recommender systems (Java version 1.7 or higher required). It implements a suit of state-of-the-art recommendation algorithms, aiming to resolve two classic recommendation tas

jGeneticNeuralNet A Java library that implements neural networks with a genetic training algorithm. Classification Usage String dataFile = "src/test/resources/iris.data"; DataLoader dl = new DataLoader()

CatAndDogRecognizer Java Cat&Dog Image Recognition with Deep Neural Networks Transfer learning from deeplearning4j with VGG-16 and ImageNet was in order to build a Cat and Dog Image recognition. For more informati

fastText4j Java port of C++ version of Facebook Research fastText. This implementation supports prediction for supervised and unsupervised models, whether they are quantized or not. Please use C++ version of fastText f

fasttext_java Java port of c++ version of facebook fasttext [UPDATED 2017-01-29] Support Load/Save facebook fasttext binary model file Building fastText_java Requirements: Maven, Java 1.6 or onwards In ord

Building a Recommender with Apache Spark & Elasticsearch Recommendation engines are one of the most well known, widely used and highest value use cases for applying machine learning. Despite this, while there ar

IMPORTANT: THIS REPOSITORY HAS BEEN ARCHIVED AND DATAVEC HAS BEEN MOVED DataVec has been migrated to a sub-module of the mono-repository here: https://github.com/deeplearning4j/deeplearning4j All future development will