Подборка — 3 881

Package for computer vision using OpenCV 4 and beyond.

A reinforcement learning library.

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

Haskell implementations of various ML algorithms. [Deprecated]

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

Haskell Neural Network library.

Hopfield Networks for unsupervised learning in Haskell. [Deprecated]

A DSL for deep neural networks. [Deprecated]

Configurable Neural Networks in Haskell. [Deprecated]

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

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]

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

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.

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

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

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

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

Java version of liblinear.

Distributed machine learning.

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

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

statistics, data mining and machine learning toolbox in Java.

flexible, scalable machine learning (ML) language.

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.

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

Hadoop/HDFS.

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

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

Real-time Query for Hadoop.

Scalable deep learning for industry with parallel GPUs.

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

A JavaScript implementation of Twitter's text processing library.

General natural language facilities for node.

A Natural Language Processor in JS.

Extensible system for analyzing and manipulating natural language.

Natural Language processing in the browser.