JavaScript Libraries for Machine Learning

• Get Started with OR-Tools for Java
• Gradle User Manual
• Google Developers Training
• AOSP Java Code Style for Contributors
• Getting started with Java Tool Installer task for Azure Pipelines

JavaScript Libraries for Machine Learning

• TensorFlow.js
• Brain.js
• ConvNetJS
• Neuro.js
• Stdlib
• Deeplearn.js - accelerated JavaScript library for machine intelligence. It brings performant machine learning building blocks to the web, allowing you to train neural networks in a browser or run pre-trained models in inference mode.
• Natural - language-processing).
• Ml.js
• DeepForge - source visual development environment for deep learning providing end-to-end support for creating deep learning models.
• Synaptic - free, so you can build and train basically any type of first order or even second order neural network architectures. This library includes a few built-in architectures like multilayer perceptrons, multilayer long-short term memory networks (LSTM), liquid state machines or Hopfield networks, and a trainer capable of training any given network.
• WebDNN
• Mind

• JavaScriptCore - C, and C-based apps. You can also use JavaScriptCore to insert custom objects into the JavaScript environment.
• Ember.js
• AngularJS
• Backbone.js - value binding and custom events, collections with a rich API of enumerable functions, views with declarative event handling, and connects it all to your existing API over a RESTful JSON interface.
• HTML (HyperText Markup Language)
• Cascading Style Sheets (CSS)
• Next.js - fetching, and more.
• Electron - platform desktop applications using JavaScript, HTML and CSS. It is based on [Node.js](https://nodejs.org/) and [Chromium](https://www.chromium.org/) and is used by the [Atom editor](https://github.com/atom/atom) and many other [apps](https://electronjs.org/apps).
• axios
• Enzyme
• Redux
• Expo - source platform for making universal native apps with React.
• Node.js - side scripts outside of a browser.

JavaScript Libraries for Machine Learning

• Java SE
• JDK Development Tools
• RxJava - based programs by using observable sequences. It extends the [observer pattern](http://en.wikipedia.org/wiki/Observer_pattern) to support sequences of data/events and adds operators that allow you to compose sequences together declaratively while abstracting away concerns about things like low-level threading, synchronization, thread-safety and concurrent data structures.
• Guava
• Retrofit - safe HTTP client for Android and Java develped by Square.
• Apache Flink - and batch-processing capabilities with elegant and fluent APIs in Java and Scala.
• Fastjson
• libGDX - platform Java game development framework based on OpenGL (ES) that works on Windows, Linux, Mac OS X, Android, your WebGL enabled browser and iOS.
• Jenkins - source automation server. Built with Java, it provides over 1700 [plugins](https://plugins.jenkins.io/) to support automating virtually anything, so that humans can actually spend their time doing things machines cannot.
• Redisson - Memory Data Grid. Over 50 Redis based Java objects and services: Set, Multimap, SortedSet, Map, List, Queue, Deque, Semaphore, Lock, AtomicLong, Map Reduce, Publish / Subscribe, Bloom filter, Spring Cache, Tomcat, Scheduler, JCache API, Hibernate, MyBatis, RPC, and local cache.
• GraalVM - based languages like Java, Scala, Clojure, Kotlin, and LLVM-based languages such as C and C++.
• Gradle - language software development. From mobile apps to microservices, from small startups to big enterprises, Gradle helps teams build, automate and deliver better software, faster. Write in Java, C++, Python or your language of choice.
• Apache Groovy - typing and static compilation capabilities, for the Java platform aimed at improving developer productivity thanks to a concise, familiar and easy to learn syntax. It integrates smoothly with any Java program, and immediately delivers to your application powerful features, including scripting capabilities, Domain-Specific Language authoring, runtime and compile-time meta-programming and functional programming.
• JaCoCo
• Junit
• Mockito
• SpotBugs
• YourKit
• Java Design Patterns
• Elasticsearch
• okhttp
• LeakCanary
• Apache Groovy - typing and static compilation capabilities, for the Java platform aimed at improving developer productivity thanks to a concise, familiar and easy to learn syntax. It integrates smoothly with any Java program, and immediately delivers to your application powerful features, including scripting capabilities, Domain-Specific Language authoring, runtime and compile-time meta-programming and functional programming.
• NetBeans

JavaScript Libraries for Machine Learning

• jQuery - rich JavaScript library. It makes things like HTML document traversal and manipulation, event handling, animation, and Ajax much simpler with an easy-to-use API that works across a multitude of web browsers.
• jQuery API Documentation
• jQuery Learning Center
• jQuery Courses on Coursera
• jQuery Courses on Udemy
• jQuery Training Courses on LinkedIn Learning
• Intro to jQuery on Udacity
• Intro to AJAX on Udacity
• Learning jQuery on Codecademy
• jQuery Best Practices Training on Learning Tree
• Learning the jQuery Basics on Pluralsight
• jQuery In-Depth on Pluralsight
• ASP.NET Ajax JavaScript and jQuery Course on Pluralsight
• jQuery Certification from W3Schools
• jQuery Best Practices Training on Learning Tree
• jQuery Learning Center
• jQuery Certification from W3Schools

JavaScript Libraries for Machine Learning

• jQuery UI
• Bridge.NET - to-JavaScript Compiler. Write your application in C# and run on billions of devices.
• Phantomas - based web performance metrics collector and monitoring tool
• Cheerio
• jQuery Tools - interface components for modern websites. Used by large sites all over the world.
• Featherlight

JavaScript Libraries for Machine Learning

• Kotlin
• Kotlin Programming Language Reference
• Kotlin style guide
• Learn the Kotlin programming language
• Get Started with Kotlin on Android
• Kotlin for cross-platform mobile development
• Using Kotlin with Quakus
• Building web applications with Spring Boot and Kotlin
• Migrating build logic from Groovy to Kotlin
• Kotlin Playground: Edit, Run, Share Kotlin Code Online
• An Absolute Beginner's Guide to Kotlin by Treehouse
• Kotlin Courses Online from Udemy
• Learning Kotlin from Codecademy
• Kotlin Bootcamp for Programmers course from Udacity
• Kotlin for cross-platform mobile development
• Get Started with Kotlin on Android

JavaScript Libraries for Machine Learning

• IntelliJ IDEA
• Android Virtual Device (AVD)
• Gradle - language development. If you're building, testing, publishing, and deploying software on any platform, Gradle offers a flexible model that can support the entire development lifecycle from compiling and packaging code to publishing web sites. Gradle is designed to support build automation across multiple languages and platforms including Java, Scala, Android, C/C++, Swift, and Groovy, which is closely integrated with development tools and continuous integration servers including Eclipse, IntelliJ, and Jenkins.
• Kotlin Xcode compatibility Gradle plugin
• Vue-kotlin
• Kotlinx-io
• Kotlinx-knit - management features.
• Kotlinx-lincheck