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JavaScript Libraries
JavaScript libraries are collections of pre-written JavaScript code that developers can use to simplify and accelerate web development tasks. They provide ready-made functions, utilities, and components for handling common challenges such as DOM manipulation, animations, event handling, data formatting, and AJAX requests. By using libraries, developers reduce the amount of repetitive coding needed and ensure greater cross-browser compatibility. Many JavaScript libraries focus on specific areas, such as UI design, data visualization, or state management, making them versatile tools in both front-end and back-end development. They play a vital role in modern web applications by boosting efficiency, improving code quality, and supporting rapid prototyping.
JavaScript Obfuscators Software
JavaScript obfuscators are tools that transform human-readable JavaScript code into a form that is difficult to understand, reverse-engineer, or tamper with. They typically replace variable names, functions, and control structures with complex or meaningless patterns while preserving the code’s original functionality. Some obfuscators also add layers of protection like string encryption, dead code insertion, and control flow flattening to further complicate analysis.
Package Managers
Package managers are software tools that automate the process of installing, upgrading, configuring, and removing software packages. They simplify dependency management by ensuring that required libraries and modules are downloaded and updated correctly. Many package managers connect to online repositories, allowing developers and system administrators to access large ecosystems of software quickly. By standardizing installations and updates, they reduce errors, improve consistency, and save time in both development and production environments. Package managers are widely used across programming languages, operating systems, and frameworks to streamline software distribution and maintenance.
PDF SDK
PDF SDKs (Software Development Kits) provide developers with the tools and libraries needed to integrate PDF functionality into their applications or websites. These SDKs offer features like viewing, editing, creating, converting, and annotating PDFs, allowing developers to build custom PDF solutions tailored to their needs. PDF SDKs often include APIs for manipulating text, images, and form data, as well as for handling document security, such as encryption and password protection. By using PDF SDKs, developers can add robust PDF capabilities to their software without having to build these features from scratch, saving time and resources.
Artificial Intelligence Software
Artificial Intelligence (AI) software is computer technology designed to simulate human intelligence. It can be used to perform tasks that require cognitive abilities, such as problem-solving, data analysis, visual perception and language translation. AI applications range from voice recognition and virtual assistants to autonomous vehicles and medical diagnostics.
Deep Learning Software
Deep learning software provides tools and frameworks for developing, training, and deploying artificial neural networks, particularly for complex tasks such as image and speech recognition, natural language processing (NLP), and autonomous systems. These platforms leverage large datasets and powerful computational resources to enable machines to learn patterns and make predictions. Popular deep learning software includes frameworks like TensorFlow, PyTorch, Keras, and Caffe, which offer pre-built models, libraries, and tools for designing custom models. Deep learning software is essential for industries that require advanced AI solutions, including healthcare, finance, automotive, and entertainment.
Neural Network Software
Neural network software uses algorithms to simulate the human brain's ability to recognize patterns. It can be used for a variety of purposes, such as image and voice recognition, natural language processing, and decision making. The software is typically composed of a number of layers that contain parameters which are adjusted through training. Finally, it can be applied in various areas such as healthcare, finance, engineering and more.
View more categories (7) for "javascript"

2 Products for "javascript" with 1 filter applied:

  • 1
    ConvNetJS

    ConvNetJS

    ConvNetJS

    ConvNetJS is a Javascript library for training deep learning models (neural networks) entirely in your browser. Open a tab and you're training. No software requirements, no compilers, no installations, no GPUs, no sweat. The library allows you to formulate and solve neural networks in Javascript, and was originally written by @karpathy. However, the library has since been extended by contributions from the community and more are warmly welcome.
  • 2
    Keras

    Keras

    Keras

    ...Built on top of TensorFlow 2.0, Keras is an industry-strength framework that can scale to large clusters of GPUs or an entire TPU pod. It's not only possible; it's easy. Take advantage of the full deployment capabilities of the TensorFlow platform. You can export Keras models to JavaScript to run directly in the browser, to TF Lite to run on iOS, Android, and embedded devices. It's also easy to serve Keras models as via a web API.
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