Search Results for "java-ml"
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Showing 13 open source projects for "java-ml"
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Build unique experiences across SMS, MMS, Facebook Messenger, and WhatsApp – with our unified messaging APIs.
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Engage is a pre-built, intelligent contact center platform that transforms customer service.
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1
Language support for Java for VS Code
Java Language Support for Visual Studio Code
Provides Java ™ language support via Eclipse ™ JDT Language Server, which utilizes Eclipse ™ JDT, M2Eclipse and Buildship. Now that Java extension will publish platform-specific versions, it will embed a JRE for supported platforms such as win32-x64, Linux-x64, Linux-arm64, darwin-x64, and darwin-arm64. The embedded JRE is used to launch the Language Server for Java. Users are only responsible for configuring Project JDKs to compile your Java projects. -
2
TensorFlow.js
TensorFlow.js is a library for machine learning in JavaScript
TensorFlow.js is a library for machine learning in JavaScript. Develop ML models in JavaScript, and use ML directly in the browser or in Node.js. Use off-the-shelf JavaScript models or convert Python TensorFlow models to run in the browser or under Node.js. Retrain pre-existing ML models using your own data. Build and train models directly in JavaScript using flexible and intuitive APIs. Tensors are the core datastructure of TensorFlow.js They are a generalization of vectors and matrices... -
3
Theia
Cloud & Desktop IDE Platform
Eclipse Theia is an open source extensible platform for developing multi-language Cloud and Desktop IDEs with state-of-the-art web technologies. If you’re not sure if you need a web version or a desktop version or both, Theia is the best solution. It can develop one IDE for both browsers and native desktop applications from a single source. Theia has a highly flexible architecture, allowing extenders and adopters to customize and extend every aspect of it. It supports VS code extensions,... -
4
JHipster
Development platform to generate and deploy modern web apps
JHipster is a development platform to quickly generate, develop, and deploy modern web applications and microservice architectures. We support many frontend technologies, including Angular, React, and Vue. We even have mobile app support for Ionic and React Native! On the backend, we support Spring Boot (with Java or Kotlin), Micronaut, Quarkus, Node.js, and .NET. For deployment, we embrace cloud native principles with Docker and Kubernetes. Deployment support exists for AWS, Azure, Cloud... -
Chat with your business data with Looker. More than just a modern business intelligence platform, you can turn to Looker for self-service or governed BI, build your own custom applications with trusted metrics, or even bring Looker modeling to your existing BI environment.
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5
CapRover
Scalable PaaS (automated Docker+nginx), aka Heroku on Steroids
..., installing it, update nginx over and over again. Deploy apps in your own space (Node js, PHP, Python, Java literally any language!) Simple interface for many docker operations, exposing container ports to host, setting up persistent directories, instance count and etc. Optionally fully customizable Nginx config allowing you to enable HTTP2, specific caching logic, custom SSL certs and etc. -
6
AWS Toolkit for Visual Studio Code
Local Lambda debug, CodeWhisperer, SAM/CFN syntax, etc.
... Explorer when the AWS icon is selected in the Activity bar. The AWS CDK Explorer enables you to work with AWS Cloud Development Kit (CDK) applications. It shows a top-level view of your CDK applications that have been synthesized in your workspace. Amazon CodeWhisperer provides inline code suggestions using machine learning and natural language processing on the contents of your current file. Supported languages include Java, Python and Javascript. -
7
jsii
jsii allows code in any language to naturally interact with JavaScript
jsii allows code in any language to naturally interact with JavaScript classes. It is the technology that enables the AWS Cloud Development Kit to deliver polyglot libraries from a single codebase! A class library written in TypeScript can be used in projects authored in TypeScript or Javascript (as usual), but also in C# (and other languages from the .NET family), Go, Java, Python, etc. More languages will be added in the future! Due to JSON marshaling costs and the absence of a distributed... -
8
capacitor
Build cross-platform native progressive web apps for iOS and Android
Capacitor is an open source native runtime for building Web Native apps. Create cross-platform iOS, Android, and Progressive Web Apps with JavaScript, HTML, and CSS. Capacitor’s native plugin APIs make it extremely easy to access and invoke common device functionality across multiple platforms. Build web-based applications that run equally well across iOS, Android, and as Progressive Web Apps. Access the full Native SDKs on each platform, and easily deploy to the App Stores (and the web).... -
9
aws-prototyping-sdk
Contains useful CDK and Projen constructs vended in multiple languages
AWS Prototyping SDK (PDK) is a package that contains useful CDK and Projen constructs. This package is built using projen and nx. Any change to projects/* or .projenrc.ts requires a synth to be executed. The PDK contains a set of useful CDK and Projen constructs, vended in multiple languages. For packages marked experimental, please refer to the usage instruction contained within the respective package documentation. -
When it comes to cybersecurity, what your clients don’t know can really hurt them. And believe it or not, keep them safe starts with asking questions. With ConnectWise Identify Assessment, get access to risk assessment backed by the NIST Cybersecurity Framework to uncover risks across your client’s entire business, not just their networks. With a clearly defined, easy-to-read risk report in hand, you can start having meaningful security conversations that can get you on the path of keeping your clients protected from every angle. Choose from two assessment levels to cover every client’s need, from the Essentials to cover the basics to our Comprehensive Assessment to dive deeper to uncover additional risks. Our intuitive heat map shows you your client’s overall risk level and priority to address risks based on probability and financial impact. Each report includes remediation recommendations to help you create a revenue-generating action plan.
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10
Brill Software
A faster way to develop React Web Applications
The Brill Framework allows React web applications to be built quickly using a "Low Code" approach. A Content Management System (CMS) supports editing of pages containing React components. The React components communicate with each other and the Server using a middleware that's based on WebSockets. With a "No Code" solution, there's always something you require that's not support. You spend ages bending the product to your requirements or pay the supplier to provide the components... -
11
Intern
A next-generation code testing stack for JavaScript
Intern is a complete test system for JavaScript designed to help you write and run consistent, high-quality test cases for your JavaScript libraries and applications. It can be used to test any JavaScript code. Intern is minimally prescriptive and enforces only a basic set of best practices designed to ensure your tests stay maintainable over time. Its extensible architecture allows you to write custom test interfaces, executors, and reporters to influence how your tests run & easily... -
12
Apache SkyWalking Rocketbot UI
SkyWalking RocketBot UI
Application performance monitor tool for distributed systems, specially designed for microservices, cloud-native, and container-based (Kubernetes) architectures. End-to-end distributed tracing. Service topology analysis, service-centric observability and API dashboards. Java, .Net Core, PHP, NodeJS, Golang, LUA, Rust, C++, Client JavaScript and Python agents with active development and maintenance. Rover agent works as a metrics collector and profiler powered by eBPF to diagnose CPU and network... -
13
TensorFlow.js models
Pretrained models for TensorFlow.js
... run the unit tests for any of the models by running "yarn test" inside a directory. Use off-the-shelf JavaScript models or convert Python TensorFlow models to run in the browser or under Node.js. Build and train models directly in JavaScript using flexible and intuitive APIs. Develop ML models in JavaScript, and use ML directly in the browser or in Node.js.
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