Search Results for "amazon" - Page 6
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Showing 174 open source projects for "amazon"
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Amazon Neptune Gremlin .NET SigV4
A custom library for Amazon Neptune that enables AWS Signature Version
This project provides a custom library that extends the Apache TinkerPop Gremlin.NET client to enable AWS IAM Signature Version 4 signing for establishing authenticated connections to Amazon Neptune. For example usage refer to: NeptuneGremlinNETSigV4Example.cs. This example shows how to leverage this library for establishing an authenticated connection to Neptune. The GremlinClient library accepts both a GremlinServer object as well as a webSocketConfiguration object that contains a custom configuration set for establishing the WebSocket connection to Amazon Neptune. ... -
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Mongoose OS
IoT firmware development framework
Mongoose OS, an IoT Firmware Development Framework. Supported microcontrollers, ESP32, ESP8266, CC3220, CC3200, STM32F4, STM32L4, STM32F7. Amazon AWS IoT, Microsoft Azure, Google IoT Core integrated. Code in C or JavaScript. Mongoose OS is integrated and powers many types of devices and appliances globally. Microsoft Azure IoT recommends Mongoose OS for OTA, automatic device management and deploying firmware updates at scale. Built-in flash encryption, crypto chip support, ARM mbedTLS optimized for small memory footprint. ... -
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Space Cloud
Open source Firebase + Heroku to develop, scale and secure apps
...It provides GraphQL and REST APIs which can be consumed directly by your frontend in a secure manner. Flexible queries, transactions, aggregations and cross-database joins. Make live queries to your database. Upload/download files to scalable file stores (e.g., Amazon S3, Google Cloud Storage). Unified APIs for your custom HTTP services. Trigger webhooks or serverless functions on database or file storage events. Dynamic access control that integrates with your auth system (e.g., auth0, firebase-auth). Written in Golang, it follows cloud-native practices and scales horizontally. -
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SageMaker TensorFlow Serving Container
A TensorFlow Serving solution for use in SageMaker
SageMaker TensorFlow Serving Container is an a open source project that builds docker images for running TensorFlow Serving on Amazon SageMaker. Some of the build and tests scripts interact with resources in your AWS account. Be sure to set your default AWS credentials and region using aws configure before using these scripts. Amazon SageMaker uses Docker containers to run all training jobs and inference endpoints. The Docker images are built from the Dockerfiles in docker/. ... -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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aws-mwaa-local-runner
CLI that replicates an Amazon Managed Workflows for Apache Airflow
...You can setup the local Airflow's boto with the intended execution role to test your DAGs with AWS operators before uploading to your Amazon S3 bucket. -
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constructs-go
Golang bindings for constructs
...Constructs are part of the Construct Programming Model (CPM) and are also used by other tools such as CDK for Terraform (CDKtf), CDK for Kubernetes (CDK8s), and Projen. A construct can represent a single AWS resource, such as an Amazon Simple Storage Service (Amazon S3) bucket, or it can be a higher-level abstraction consisting of multiple AWS related resources. Examples of such components include a worker queue with its associated compute capacity, or a scheduled job with monitoring resources and a dashboard. The AWS CDK includes a collection of constructs called the AWS Construct Library, containing constructs for every AWS service. -
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Amazon SageMaker Examples
Jupyter notebooks that demonstrate how to build models using SageMaker
Welcome to Amazon SageMaker. This projects highlights example Jupyter notebooks for a variety of machine learning use cases that you can run in SageMaker. If you’re new to SageMaker we recommend starting with more feature-rich SageMaker Studio. It uses the familiar JupyterLab interface and has seamless integration with a variety of deep learning and data science environments and scalable compute resources for training, inference, and other ML operations. -
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SageMaker MXNet Training Toolkit
Toolkit for running MXNet training scripts on SageMaker
SageMaker MXNet Training Toolkit is an open-source library for using MXNet to train models on Amazon SageMaker. For inference, see SageMaker MXNet Inference Toolkit. For the Dockerfiles used for building SageMaker MXNet Containers, see AWS Deep Learning Containers. For information on running MXNet jobs on Amazon SageMaker, please refer to the SageMaker Python SDK documentation. With the SDK, you can train and deploy models using popular deep learning frameworks Apache MXNet and TensorFlow. ... -
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BotMan
A framework agnostic PHP library to build chat bots
Write your chatbot logic once and connect it to one of the available messaging services, including Amazon Alexa, Facebook Messenger, Slack, Telegram or even your own Website. BotMan is framework agnostic, which means you can use it in your existing codebase, whatever framework you might use. Starting a new chatbot project? BotMan Studio is a Laravel 5.5 boiler project to get you started in no time! BotMan is all about having an expressive, yet powerful syntax that allows you to focus on the business logic, not on framework code. ... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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...Database Information Due Date Task Subject Task Description Course Project Requirements Develop Web Application that should use Web Application Framework (Tomcat) Implement Web Application that should use Database (MySQL) Write Web Application that should run Amazon AWS EC2 server instance (Ubuntu AMI) Should manage source code using Version Control System (SVN)
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SageMaker Containers
Create SageMaker-compatible Docker containers
Amazon SageMaker is a fully managed service for data science and machine learning (ML) workflows. You can use Amazon SageMaker to simplify the process of building, training, and deploying ML models. To train a model, you can include your training script and dependencies in a Docker container that runs your training code. A container provides an effectively isolated environment, ensuring a consistent runtime and reliable training process. -
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RISC-V BOOM
SonicBOOM: The Berkeley Out-of-Order Machine
The riscv-boom project (also called BOOM or SonicBOOM) implements a high-performance, synthesizable out-of-order RISC-V core written in the Chisel hardware construction language. It targets the RV64GC (i.e. 64-bit with general + compressed + floating point) instruction set and supports features such as virtual memory, caches, atomics, and IEEE-754 floating point. The design is parameterizable, meaning users can tune pipeline widths, buffer sizes, functional units, and other... -
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SageMaker Chainer Containers
Docker container for running Chainer scripts to train and host Chainer
SageMaker Chainer Containers is an open-source library for making the Chainer framework run on Amazon SageMaker. This repository also contains Dockerfiles which install this library, Chainer, and dependencies for building SageMaker Chainer images. Amazon SageMaker utilizes Docker containers to run all training jobs & inference endpoints. The Docker images are built from the Dockerfiles specified in Docker/. The Docker files are grouped based on Chainer version and separated based on Python version and processor type. ... -
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Tadpole DB Hub
Web based Database collboration tools
Original home : https://github.com/hangum/TadpoleForDBTools It is a tool to manage Altibase, Amazon RDS, Apache Hive,Apache Cassandra, Apache Tajo, MongoDB, CUBRID, MariaDB, MySQL, Oracle, MSSQL, SQLite, Tibero, PostgreSQL in Web Browser. -
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Zappa
Serverless Python
...With a traditional HTTP server, the server is online 24/7, processing requests one by one as they come in. If the queue of incoming requests grows too large, some requests will time out. With Zappa, each request is given its own virtual HTTP "server" by Amazon API Gateway. AWS handles the horizontal scaling automatically, so no requests ever time out. Each request then calls your application from a memory cache in AWS Lambda and returns the response via Python's WSGI interface. After your app returns, the "server" dies. -
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rest-dev-vnc-docker
Restful / SOAP API Development with common tools in VNC/noVNC Docker
...The use-cases of this kind of VNC/noVNC docker container is just limited by your imaginations and your device or network limitations. Virtually it's accessible ubiquitously from Your favorite smartphones, tablets, e.g., iPad, SurfacePro, Amazon Fire tablet, Chrome PC, Desktop PC, etc. (Hmmm! in theory, if you can read tiny screens, you can even use your Apple iWatch to use KNIME, Eclipse Photon, IntelliJ, etc. as long as it can display HTML-5 Web Browsers. -
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AWS Toolkit for Eclipse
Plugin for developing, deploying, and managing AWS applications
...Use the Eclipse Java IDE to build and debug your applications. Automatically download new versions of the SDK through the Eclipse update site. Easily access and administer your AWS infrastructure, including Amazon S3, Amazon DynamoDB, Amazon EC2, and more while developing your application. -
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Scotty.js
Deploy static websites and single page apps to AWS S3
...From the very beginning, you’ll need to make many decisions — decisions like picking a framework, setting the folder structure, configuring linter, and many others. Amazon offers something that can scale, a combination of Simple Storage Service (S3) for static website hosting and CloudFrontas a CDN is a cheap but scalable way to deliver your single page app. Although it takes some time to prepare both of those too, even more if you are not familiar with Amazon Web Services. The main idea behind Scotty is to deploy your static website or single page app to Amazon ecosystem with a single command. ... -
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Empire
A PaaS built on top of Amazon EC2 Container Service (ECS)
Empire is a control layer on top of Amazon EC2 Container Service (ECS) that provides a Heroku-like workflow. It conforms to a subset of the Heroku Platform API, which means you can use the same tools and processes that you use with Heroku, but with all the power of EC2 and Docker. Empire is targeted at small to medium-sized startups that are running a large number of microservices and need more flexibility than what Heroku provides. -
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ScummVM
A cross-platform interpreter for many point-and-click adventure games
...This includes LucasArts SCUMM games (such as Monkey Island 1-3, Day of the Tentacle, Sam & Max, ...), many of Sierra's AGI and SCI games (such as King's Quest 1-6, Space Quest 1-5, ...), Discworld 1 and 2, Simon the Sorcerer 1 and 2, Beneath A Steel Sky, Lure of the Temptress, Broken Sword 1 and 2, Flight of the Amazon Queen, Gobliiins 1-3, The Legend of Kyrandia 1-3, many of Humongous Entertainment's children's SCUMM games (including Freddi Fish and Putt Putt games) and many more. The project mailing lists have been moved to http://lists.scummvm.org The project tracker has been moved to https://bugs.scummvm.org -
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Claudia Bot Builder
Create chat bots for Facebook Messenger, Slack, Amazon Alexa, etc.
Claudia Bot Builder helps developers create and deploy chat-bots for various platforms in minutes to AWS Lambda. It simplifies the messaging workflows, automatically sets up the correct web hooks, and guides you through configuration steps, so that you can focus on important business problems and not have to worry about infrastructure code. This code is enough to operate bots for all supported platforms. Claudia Bot Builder automatically parses the incoming messages into a common format, so... -
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bNesis
bNesis is a Unified API service that reduces complexity of integration
bNesis is a Unified API service that reduces complexity of integration with multiple cloud, social, payment, analytics and other services into mobile apps. Therefore, bNesis provides huge time and money savings opportunities for C-level executives, development shops and software companies. We combine multiple global and regional third-party services into a Unified API. By integrating bNesis with any mobile app, you can get access to multiple services from around the world. This... -
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This Amazon Mechanical Turk (MTurk) SDK is no longer under active development as of 12/31/2017. The latest MTurk SDKs, with support for most common programming languages, are now a part of the Amazon Web Service (AWS) SDKs at https://aws.amazon.com/tools/. With the AWS SDKs, you can also connect to MTurk using the AWS Command Line Interface (https://aws.amazon.com/cli/), allowing you to perform operations from your Windows, Mac, or Linux command line without having to write code.
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Nemiro.OAuth
Class library for authorization via OAuth in .NET Framework
...The library provides mechanisms for implementing OAuth clients, and also contains a ready-to-use clients for popular websites. The library support OAuth 1.0 and 2.0, and also has ready-to-use OAuth clients for: Amazon, Facebook, GitHub, Google, Microsoft Live, Mail.Ru, Odnoklassniki.ru, Twitter, VKontakte (vk.com), Yandex (yandex.ru). -
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node-orm2
Object Relational Mapping
Supported: 4.0 + If using Nodejs >= 14 & Postgres, you must use pg driver >= 8.1. v7 doesn't work correctly (tests time out). Tests are run on Travis CI If you want you can run tests locally. Create Models, sync, drop, bulk create, get, find, remove, count, aggregated functions. Create Model associations, find, check, create and remove. Define custom validations (several builtin validations, check instance properties before saving - see enforce for details). Model instance caching and...
