GitHub projects

Real-time Query for Hadoop.

Spark is a fast and general engine for large-scale data processing.

Distributed, masterless, high performance, fault tolerant data processing. Written entirely in Clojure.

Hadoop/HDFS.

Just a simple implementation of K-Nearest Neighbors algorithm using with a bunch of similarity measures.

Learning Based Java is a modelling language for the rapid development of software systems, offers a convenient, declarative syntax for classifier and constraint definition directly in terms of the objects in the programmer's application.

flexible, scalable machine learning (ML) language.

statistics, data mining and machine learning toolbox in Java.

Lambda Architecture Framework using Apache Spark and Apache Kafka with a specialization for real-time large-scale machine learning.

a service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services.

Distributed machine learning.

Java version of liblinear.

A Java port of SciPy's signal processing module, offering filters, transformations, and other scientific computing utilities.

General Machine Learning library using Numenta’s Cortical Learning Algorithm.

ML engine that supports distributed learning on Hadoop, Spark or your laptop via APIs in R, Python, Scala, REST/JSON.

Machine Learning framework for rapid development of Machine Learning and Statistical applications.

A Java library for genetic algorithms, evolutionary computation, and stochastic local search, with a focus on self-adaptation / self-tuning, as well as parallel execution.

A machine learning library by Airbnb designed from the ground up to be human friendly.

The NLP4J project provides software and resources for natural language processing. The project started at the Center for Computational Language and EducAtion Research, and is currently developed by the Center for Language and Information Research at Emory University. [Deprecated]

ClearTK provides a framework for developing statistical natural language processing (NLP) components in Java and is built on top of Apache UIMA. [Deprecated]

Configurable Neural Networks in Haskell. [Deprecated]

A DSL for deep neural networks. [Deprecated]

Hopfield Networks for unsupervised learning in Haskell. [Deprecated]

Haskell Neural Network library.

a suite of libraries for interpreting machine learning models according to their algebraic structure. [Deprecated]

Haskell implementations of various ML algorithms. [Deprecated]

PyTorch implementations of Stable Baselines (deep) reinforcement learning algorithms.

A reinforcement learning library.

Package for computer vision using OpenCV 4 and beyond.

Random forests implementation in Go. [Deprecated]

Graph library for Go/Golang language. [Deprecated]

Globe wireframe visualization.

Glot is a plotting library for Golang built on top of gnuplot.

The Go Language library for SVG generation.

Dataframes.

Dataframes for machine-learning and statistics (similar to pandas).

Spherical geometry in Go.

Go library to handle geometries.

Deep Neural Networks for Golang (powered by MXNet)

Ensembles of decision trees in Go/Golang. [Deprecated]

Genetic Algorithms library written in Go / Golang. [Deprecated]

Naive Bayesian Classification for Golang. [Deprecated]

GoNN is an implementation of Neural Network in Go Language, which includes BPNN, RBF, PCN. [Deprecated]

Linear / Logistic regression, Neural Networks, Collaborative Filtering and Gaussian Multivariate Distribution. [Deprecated]

Pattern recognition package in Go lang. [Deprecated]

Plug-and-play, parallel Go framework for NeuroEvolution of Augmenting Topologies (NEAT). [Deprecated]

From-scratch Go port of tinygrad: a graph-rewrite ML compiler with reverse-mode autodiff and a WebGPU backend.

An embedded deep learning library for Go.