Search Results for "aws" - Page 8
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Showing 258 open source projects for "aws"
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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telegraf.js
Modern Telegram Bot Framework for Node.js
Bots are special Telegram accounts designed to handle messages automatically. Users can interact with bots by sending them command messages in private or group chats. These accounts serve as an interface for code running somewhere on your server. Telegraf is a library that makes it simple for you to develop your own Telegram bots using JavaScript or TypeScript. You can see in every example is a Context instance. Telegraf creates one for each incoming update and passes it to your middleware.... -
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Empact Foundation Class Library
Cross-platform C++ library for use as a default application framework.
...Features include: * Threading & synchronization * Socket programming: SSL, NanoMsg & ZMQ * File I/O utilities: zlib, ini, yaml * Native Database access: MySQL, SQLite, BerkleyDB, Postgre, REDIS and ODBC * Built-in mini XML parser; optional EXPAT, LIBXML and MSXML support * Network protocol stack: HTTP, FTP, SMTP, POP3, SOAP, XMLRPC * Scripting languages: Perl, Python, JavaScript, VBScript, Java, Lua, TCL, Squirrel * Cloud Computing: AWS * Encryption: OpenSSL * Platforms: Linux/Posix, Windows, Arduino * Over 500+ highly reusable classes. 4000+ fully documented functions. Follow the 'Wiki' link above to explore everything about the framework. -
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SageMaker Spark
A Spark library for Amazon SageMaker
...With SageMaker Spark, you can train on Amazon SageMaker from Spark DataFrames using Amazon-provided ML algorithms like K-Means clustering or XGBoost, and make predictions on DataFrames against SageMaker endpoints hosting your trained models, and, if you have your own ML algorithms built into SageMaker compatible Docker containers, you can use SageMaker Spark to train and infer on DataFrames with your own algorithms -- all at Spark scale. SageMaker Spark depends on hadoop-aws-2.8.1. To run Spark applications that depend on SageMaker Spark, you need to build Spark with Hadoop 2.8. However, if you are running Spark applications on EMR, you can use Spark built with Hadoop 2.7. -
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Acorn
A simple application deployment framework built on Kubernetes
Acorn is an app platform that makes it easy to build, share, and run containerized applications. Acorn provides a comprehensive way to describe your application and dependencies in a single file called an Acornfile. The Acornfile is built and packaged up into a single artifact that contains everything needed to deploy your application and can be shared with a link that will allow it's recipients to have a one-click deployment into a sandbox environment. Acorn Sandboxes are free compute... -
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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Financial Freedom
An open source alternative to Mint, YNAB, and more
...Break free from third parties tracking every financial footstep you have. Run this application on any device or host that supports Docker -- if that's something like AWS, Digital Ocean, or even your own Raspberry Pi running in your basement. -
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Kyma
Kyma is an opinionated set of Kubernetes-based modular building blocks
Kyma is an opinionated set of Kubernetes-based modular building blocks, including all necessary capabilities to develop and run enterprise-grade cloud-native applications. It is the open path to the SAP ecosystem supporting business scenarios end-to-end. Kyma is an actively maintained open-source project supported by SAP. The Kyma project is also a foundation of SAP BTP, Kyma runtime which is a part of SAP Business Technology Platform (BTP). You can use Kyma modules in your own Kubernetes... -
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Horovod
Distributed training framework for TensorFlow, Keras, PyTorch, etc.
...With Horovod, an existing training script can be scaled up to run on hundreds of GPUs in just a few lines of Python code. Horovod can be installed on-premise or run out-of-the-box in cloud platforms, including AWS, Azure, and Databricks. Horovod can additionally run on top of Apache Spark, making it possible to unify data processing and model training into a single pipeline. Once Horovod has been configured, the same infrastructure can be used to train models with any framework, making it easy to switch between TensorFlow, PyTorch, MXNet, and future frameworks as machine learning tech stacks continue to evolve. ... -
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AWS Jupyter Proxy
Jupyter server extension to proxy requests with AWS SigV4 authentican
A Jupyter server extension to proxy requests with AWS SigV4 authentication. This server extension enables the usage of the AWS JavaScript/TypeScript SDK to write Jupyter frontend extensions without having to export AWS credentials to the browser. A single /awsproxy endpoint is added on the Jupyter server which receives incoming requests from the browser, uses the credentials on the server to add SigV4 authentication to the request, and then proxies the request to the actual AWS service endpoint. ... -
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DevOps Resources
DevOps resources
This repository aggregates useful resources, references, roadmaps, and learning materials in various areas of DevOps including Linux, Jenkins, AWS, SRE, Prometheus, Docker, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL/NoSQL, Azure, GCP, and more. Curated tooling and technology references across multiple DevOps domains. Roadmaps and learning paths for building DevOps competence. It is meant as a guide for learners and practitioners to discover tools, concepts, and tutorials relevant to DevOps roles. ... -
Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
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Atri Framework
Open-source full-stack web development framework built on top of React
...Use our powerful visual builder to create frontend or write React code. Write backend using our Python API that is inspired from Unity's game engine. Use our CLI to deploy at your platform of choice such as AWS, GitHub Pages, etc. or Atri cloud. -
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Amazon Kinesis Flink Connectors
Contains various Apache Flink connectors to connect to AWS data
This library contains various Apache Flink connectors to connect to AWS data sources and sinks. This repository contains various Apache Flink connectors to connect to AWS Kinesis data sources and sinks. Flink maintain backwards compatibility for the Sink interface used by the Firehose Producer. This project is compatible with Flink 1.x, there is no guarantee it will support Flink 2.x should it release in the future. -
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ClassyVision
An end-to-end PyTorch framework for image and video classification
Classy Vision is a PyTorch-based framework designed for large-scale training and deployment of state-of-the-art image and video classification models. Developed by Facebook Research, it serves as an end-to-end system that simplifies the process of training at scale, reducing redundancy and friction in moving from research to production. Unlike traditional computer vision libraries that focus solely on modular components, Classy Vision provides a complete and unified framework, featuring... -
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Knet
Koç University deep learning framework
...If you would like to try it on your own computer, please follow the instructions on Installation. If you would like to try working with a GPU and do not have access to one, take a look at Using Amazon AWS or Using Microsoft Azure. If you find a bug, please open a GitHub issue. If you don't have access to a GPU machine, but would like to experiment with one, Amazon Web Services is a possible solution. I have prepared a machine image (AMI) with everything you need to run Knet. Here are step-by-step instructions for launching a GPU instance with a Knet image (the screens may have changed slightly since this writing). -
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Hydra Framework
Framework for elegantly configuring complex applications
...You can override everything from the command line, which makes experimentation fast, and removes the need to maintain multiple similar configuration files. Hydra has a pluggable architecture, enabling it to integrate with your infrastructure. Future plugins will enable launching your code on AWS or other cloud providers directly from the command-line. Hydra is an open-source Python framework that simplifies the development of research and other complex applications. The key feature is the ability to dynamically create a hierarchical configuration by composition and override it through config files and the command line. -
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Amazon EKS Anywhere Curated Packages
EKS Anywhere Curated Packages is a management system for installation
The EKS Anywhere package controller and the EKS Anywhere Curated Packages (referred to as “features”) are provided as “preview features” subject to the AWS Service Terms, (including Section 2 (Betas and Previews)) of the same. During the EKS Anywhere Curated Packages Public Preview, the AWS Service Terms are extended to provide customers access to these features free of charge. These features will be subject to a service charge and fee structure at the”General Availability“ of the features. ... -
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AWS AppSync JavaScript SDK
JavaScript library files for Offline, Sync, Sigv4.
AWS AppSync is a fully managed service that makes it easy to develop GraphQL APIs by handling the heavy lifting of securely connecting to data sources like AWS DynamoDB, Lambda, and more. You can use any HTTP or GraphQL client to connect to a GraphQL API on AppSync. For front-end web and mobile development, we recommend using the Amplify clients which are optimized to connect to the AppSync backend. -
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AWS IoT Over-the-air Update Library
Manage the notification of a newly available update
The OTA library enables you to manage the notification of a newly available update, download the update, and perform cryptographic verification of the firmware update. Using the library, you can logically separate firmware updates from the application running on your devices. The OTA library can share a network connection with the application, saving memory in resource-constrained devices. In addition, the OTA library lets you define application-specific logic for testing, committing, or... -
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Open Guide to AWS
Amazon Web Services — a practical guide
og-aws (The Open Guide to Amazon Web Services) is a community-maintained reference that consolidates tips, best practices, and practical knowledge for effectively using AWS. Unlike official AWS documentation, which provides only formal product details, this guide integrates real-world experiences, advice, and caveats gathered from engineers who work with AWS daily. -
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Gaufrette
PHP library that provides a filesystem abstraction layer
Gaufrette is a PHP library designed to abstract filesystem operations, providing a consistent interface to interact with various storage backends. It allows developers to work with files stored locally, on cloud platforms, or via network protocols, without changing the code. Gaufrette supports plugins for caching, metadata management, and file transformation, making it a flexible choice for file management in web applications. -
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Voyager Mesh
Secure L7/L4 (HAProxy) Ingress Controller for Kubernetes
Voyager is a HAProxy-backed secure L7 and L4 ingress controller for Kubernetes developed by AppsCode. This can be used with any Kubernetes cloud provider including aws, gce, gke, azure, acs. This can also be used with bare metal Kubernetes clusters. Voyager provides L7 and L4 load balancing using a custom Kubernetes Ingress resource. This is built on top of the HAProxy to support high availability, sticky sessions, name and path-based virtual hosting. This also supports configurable application ports with all the options available in a standard Kubernetes Ingress. -
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AWS F1.A.1.4
Migrate between Alveo and F1 platforms
F1 customers want to seamlessly migrate between Alveo and F1 platforms to enable scaling in AWS cloud. The F1 development flow currently supports the requirement with Vitis, but there is no such support available for full custom RTL development flow (Vivado design flow). AWS F1.A.1.4 shell is targeted at enabling this. AWS F1.A.1.4 shell enables customers to migrate designs seamlessly between on-premise U200 Alveo card and F1 platform in a full custom RTL development flow. ... -
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Opta
The next generation of Infrastructure-as-Code
Opta is an infrastructure-as-code framework. Rather than working with a low-level cloud configuration, Opta enables you to work with high-level constructs. Opta high-level constructs produce Terraform configuration files. This helps you avoid lock-in to Opta. You can write custom Terraform code or even take the Opta-generated Terraform and go your own way. Opta is a new kind of Infrastructure-as-Code (IaC) framework that lets engineers work with high-level constructs instead of getting lost... -
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Amazon Braket Ocean Plugin
A Python plugin for using Ocean with Amazon Braket
...Download and install Python 3.7.2 or greater from Python.org. If you are using Windows, choose Add Python to environment variables before you begin the installation. Make sure that your AWS account is onboarded to Amazon Braket. The Amazon Braket Ocean Plugin can be installed with pip. You can also install from source by cloning this repository and running a pip install command in the root directory of the repository. This package provides samplers which use Braket solvers. These samplers extend abstract base classes provided in Ocean's dimod and thus have the same interfaces as other samplers in Ocean. -
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AWS EC2 Instance Connect Configuration
ssh daemon configuration and necessary EC2 instance scripting
This package contains the EC2 instance configuration and scripts necessary to enable AWS EC2 Instance Connect. This is the ssh daemon configuration and necessary EC2 instance scripting to enable EC2 Instance Connect. Also included is various package manager configurations for packaging for various Linux distributions. Parse takes all necessary pieces as command inputs is can be unit tested independently. curl, however, obviously needs to curl EC2 Instance Metadata Service and so cannot be tested without mocking the actual service. ... -
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SageMaker MXNet Inference Toolkit
Toolkit for allowing inference and serving with MXNet in SageMaker
...The AWS DLCs are used in Amazon SageMaker as the default vehicles for your SageMaker jobs such as training, inference, transforms etc. They've been tested for machine learning workloads on Amazon EC2, Amazon ECS and Amazon EKS services as well.
