Search Results for "cloud computing"
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Showing 14 open source projects for "cloud computing"
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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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PyQuil
A Python library for quantum programming using Quil
PyQuil is a Python library for quantum programming using Quil, the quantum instruction language developed at Rigetti Computing. PyQuil serves three main functions. PyQuil has a ton of other features, which you can learn more about in the docs. However, you can also keep reading below to get started with running your first quantum program. Without installing anything, you can quickly get started with quantum programming by exploring our interactive Jupyter Notebook tutorials and examples. To... -
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Qiskit
Qiskit is an open-source SDK for working with quantum computers
Qiskit [kiss-kit] is an open-source SDK for working with quantum computers at the level of pulses, circuits, and application modules. When you are looking to start Qiskit, you have two options. You can start Qiskit locally, which is much more secure and private, or you get started with Jupyter Notebooks hosted in IBM Quantum Lab. Qiskit includes a comprehensive set of quantum gates and a variety of pre-built circuits so users at all levels can use Qiskit for research and application... -
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Q-CTRL Open Controls
Q-CTRL Open Controls
Q-CTRL Open Controls is an open-source Python package that makes it easy to create and deploy established error-robust quantum control protocols from the open literature. The aim of the package is to be the most comprehensive library of published and tested quantum control techniques developed by the community, with easy-to-use export functions allowing users to deploy these controls on. -
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Paddle Quantum
Paddle Quantum
...Paddle Quantum aims at establishing a bridge between artificial intelligence (AI) and quantum computing (QC). It has been utilized for developing several quantum machine learning applications. With the PaddlePaddle deep learning platform empowering QC, Paddle Quantum provides strong support for the scientific research community and developers in the field to easily develop QML applications. Moreover, it provides a learning platform for quantum computing enthusiasts. -
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pycos
Python framework for concurrent, asynchronous, distributed tasks
Python framework for concurrent, asynchronous, distributed communicating tasks for broad range of use cases, including public / private / hybrid cloud computing, fog / edge computing. -
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Cloudomics-for-AWS
AWS resources for Bioinformatics Workflows & Apps
Library of scripts used for authenticating researchers who submit bioinformatics datasets to an S3 bucket for analytics using AWS resources (Development start : 2015 as part of Cloudomics, formally www.mycloudomics.com) -
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CReST
CReST: The Cloud Research Simulation Toolkit
The Cloud Research Simulation Toolkit (CReST) is a cloud computing simulation platform written in Java. -
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An easy-to-use simulator for decentralized distributed scheduling in Clusters, Grids, and Cloud ecosystem MaGate 2.0 is now available from github! https://github.com/huangye177/magate
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...The primary goal of the project is to deliver the open source that provides the foundation for potentially complex CFD solutions capable of carrying computing in the distributed environment and particularly the Cloud computing.
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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BriCS
SaaS for running simulation models in the cloud
The Bristol Cloud Service simulation runner is a cloud computing Software as a Service designed to enable users to quickly launch simulation code on Amazon AWS' Elastic Compute Cloud (EC2). BRiCS is written in Python using the Django framework and interacts with EC2 using the boto API. BriCS enables multiple simulation runs to be launched in parallel from a web browser. -
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SAGA - Simple API for Grid Application. The OGF GWD-R.90 Standard (SAGA Core) Implementation(s). It comes with lots of middleware adaptors for cloud and grid middleware, like Globus, LSF, Condor, Sector/Sphere, EC2, SSH and more.
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Platform for parallel computation in the Amazon cloud, including machine learning ensembles written in R for computational biology and other areas of scientific research. Home to MR-Tandem, a hadoop-enabled fork of X!Tandem peptide search engine.
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totaldepth
Petrophysical data processing and presentation.
...TotalDepth is open and cross-platform, and produces results straight to the bowser. TotalDepth supports such technologies such as HTML5, AJAX, Software as a Service (SaaS) and Cloud Computing. -
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OSlash is a c++ framework for developing decentralized cloud computing services. It includes a programming environment and virtual machine for assembling networks of processing nodes coordinate their operations through message passing.
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