Search Results for "library management"
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Showing 11 open source projects for "library management"
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Azure SDK for .NET
Active development of the Azure SDK for .NET
This repository is for active development of the Azure SDK for .NET. For consumers of the SDK we recommend visiting our public developer docs or our versioned developer docs. New wave of packages that we are announcing as GA and several that are currently releasing in preview. These libraries follow the Azure SDK Design Guidelines for .NET and share a number of core features such as HTTP retries, logging, transport protocols, authentication protocols, etc., so that once you learn how to use... -
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AWS Data Wrangler
Pandas on AWS, easy integration with Athena, Glue, Redshift, etc.
An AWS Professional Service open-source python initiative that extends the power of Pandas library to AWS connecting DataFrames and AWS data-related services. Easy integration with Athena, Glue, Redshift, Timestream, OpenSearch, Neptune, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON, and EXCEL). Built on top of other open-source projects like Pandas, Apache Arrow and Boto3, it offers abstracted functions to execute... -
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Render Farm Deployment Kit on AWS (RFDK)
Library for use with the AWS Cloud Development Kit
...The Render Farm Deployment Kit (RFDK) on AWS is an open-source software development kit that can be used to deploy, configure, and manage your render farm infrastructure in the cloud. The RFDK is built to operate with the AWS Cloud Development Kit (CDK) and provides a library of classes, called constructs, that each deploy and configure a component of your cloud-based render farm. The current version of the RFDK supports render farms built using AWS Thinkbox Deadline render management software, and provides the ability for you to easily go from nothing to a production-ready render farm in the cloud. -
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Synapse Machine Learning
Simple and distributed Machine Learning
SynapseML (previously MMLSpark) is an open source library to simplify the creation of scalable machine learning pipelines. SynapseML builds on Apache Spark and SparkML to enable new kinds of machine learning, analytics, and model deployment workflows. SynapseML adds many deep learning and data science tools to the Spark ecosystem, including seamless integration of Spark Machine Learning pipelines with the Open Neural Network Exchange (ONNX), LightGBM, The Cognitive Services, Vowpal Wabbit,... -
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Azure SDK for Go
This repository is for active development of the Azure SDK for Go
This repository is for the active development of the Azure SDK for Go. For consumers of the SDK, we recommend visiting our public developer docs. To get started with a library, see the README.md file located in the library's project folder. You can find these library folders grouped by service in the /SDK directory. We have a new wave of packages that are being announced as stable and several that are currently released in beta. These libraries allow you to use, consume, and interact with... -
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Azure SDK for Java
Active development of the Azure SDK for Java
This repository is for the active development of the Azure SDK for Java. For consumers of the SDK we recommend visiting our public developer docs or our versioned developer docs. To get started with a specific service library, see the README.md file located in the library's project folder. You can find service libraries in the /SDK directory. For a list of all the services, we support to access to our list of all existing libraries. New wave of packages that follow the Azure SDK Design... -
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Azure SDK for Python
Active development of the Azure SDK for Python
...They might not implement the guidelines or have the same feature set as the November releases. They do however offer wider coverage of services. A new set of management libraries that follow the Azure SDK Design Guidelines for Python are now available. -
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aguacate
With aguacate you get a better taste
Aguacate is a framework with focus on implement business logic functionality, using configuration files (json) instead of programming. See the wiki and the videos See https://github.com/mcnew/aguacate-swagger-demo for a functional demo using docker-compose Videos in Spanish: https://www.youtube.com/playlist?list=PLSHQIkodyHroW2XF7BWCrymDv_Nlj7HRS -
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Right Consents Community
Open and extensible platform to manage consents and preferences
Right Consents is a Consent and Preference Management Platform which leverage consent to another scope than cookies, where consent based processing implies conformity, like receipt preservation and consent dissemination to third-part software or company. More information at https://right-consents.fairandsmart.io/ -
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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10
Choerodon
Open Source Multi-Cloud Integrated Platform
...By providing Lean-Agile, continuous delivery, container environments, microservices, DevOps, and other capabilities, the platform helps organizations to manage applications lifecycle, and deliver business value rapidly and frequently. Choerodon 2.0: Open source with new capabilities for greater availability and stability! Choerodon 2.0 brings new capabilities for open source code management, artifact library management, CI/CD pipeline, container management, environment resources, application deployment, and more to provide greater availability and stability. Although this release does not include project management, test management, knowledge base etc. -
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StrongKey CryptoCabinet
FIDO-enabled, cloud file encryption with centralized key management.
StrongKey CryptoCabinet (SKCC) 2.0 is a FIDO-enabled (fidoalliance.org) web application built using Regulatory Compliant Cloud Computing (RC3) architecture (http://bit.ly/rc3infoq). It encrypts files/objects of any type or size, and stores the ciphertext either to public/private clouds—AWS, Azure, Eucalyptus—or local/network drives, while keeping cryptographic keys safe and secure OUTSIDE the cloud. CryptoCabinet leverages the StrongKey CryptoEngine (SKCE)—another FOSS on this site—to...
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