Search Results for "recommendation"
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Showing 9 open source projects for "recommendation"
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GoToSocial
Fast, fun, small ActivityPub server
GoToSocial is an ActivityPub social network server, written in Golang. With GoToSocial, you can keep in touch with your friends, post, read, and share images and articles. All without being tracked or advertised to. It is already deployable and useable, and it federates cleanly with many other Fediverse servers (not yet all). However, many things are not yet implemented, and there are plenty of bugs! We left the alpha stage around September/October 2024, and we intend to exit beta sometime... -
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AWS Node Termination Handler
Gracefully handle EC2 instance shutdown within Kubernetes
This project ensures that the Kubernetes control plane responds appropriately to events that can cause your EC2 instance to become unavailable, such as EC2 maintenance events, EC2 Spot interruptions, ASG Scale-In, ASG AZ Rebalance, and EC2 Instance Termination via the API or Console. If not handled, your application code may not stop gracefully, take longer to recover full availability, or accidentally schedule work to nodes that are going down. Secure and resizable compute capacity for... -
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Letterboxd Recommendations
Scraping publicly-accessible Letterboxd data for movie recommendations
Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username. A user's "star" ratings are scraped from their Letterboxd profile and assigned numerical ratings from 1 to 10 (accounting for half stars). Their ratings are then combined with a sample of ratings from the top 4000 most active users on the site to create a collaborative filtering recommender model using singular value... -
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HTTP Factories
Implementation of PSR-17 (HTTP Message Factories)
Implementation of PSR-17 (HTTP Message Factories) This repository holds all interfaces related to PSR-17 (HTTP Factories). Note that this is not a HTTP Factory implementation of its own. It is merely interfaces that describe the components of a HTTP Factory. The installable package and implementations are listed on Packagist. PSR-7 did not include a recommendation on how to create HTTP objects, which leads to difficulties when needing to create new HTTP objects within components... -
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Amazon CodeGuru Profiler Python Agent
Amazon CodeGuru Profiler Python Agent
Amazon CodeGuru Profiler collects runtime performance data from your live applications and provides recommendations that can help you fine-tune your application performance. Using machine learning algorithms, CodeGuru Profiler can help you find your most expensive lines of code and suggest ways you can improve efficiency and remove CPU bottlenecks. CodeGuru Profiler provides different visualizations of profiling data to help you identify what code is running on the CPU, see how much time is... -
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MorganaXProc (Implements XProc 1.0)
A Java implementation of XProc: An XML Pipeline Language
This project is now abandoned in favour of MorganaXProc-III which implements XProc 3.0: https://sourceforge.net/projects/morganaxproc-iiise/ MorganaXProc is a full implementation of XProc: An XML Pipeline Language (W3C Recommendation 11 May 2010) written in Java, supporting all required and optional steps, the steps proposed on EXProc.org and also the document templating steps "p:in-scope-names" and "p:template". XPath 2.0 or XPath 3.0 is used as expression language. XSLT and XQuery... -
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Seldon Server
Machine learning platform and recommendation engine on Kubernetes
Seldon Server is a machine learning platform and recommendation engine built on Kubernetes. Seldon reduces time-to-value so models can get to work faster. Scale with confidence and minimize risk through interpretable results and transparent model performance. Seldon Core focuses purely on deploying a wide range of ML models on Kubernetes, allowing complex runtime serving graphs to be managed in production. Seldon Core is a progression of the goals of the Seldon-Server project but also a more... -
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Processor Interface for XML Inclusions (PIXI) is an implementation of the W3C XInclude Recommendation in Java.
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XML::XSLT is a collection of Perl modules that perform XSL transforms on XML documents, fully implementing the W3C XSLT recommendation. It is based upon the Apache Group's project Xalan and Keith Visco's work on XSL:P, both of which are in Java.
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