Symfony DI
disco
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| Symfony DI | disco | |
|---|---|---|
| 0 | 4 | |
| 4,049 | 521 | |
| 0.4% | - | |
| 8.3 | 5.9 | |
| 11 days ago | about 2 months ago | |
| PHP | Ruby | |
| MIT License | MIT License |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Symfony DI
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Tracking mentions began in Dec 2020.
disco
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Recommendations Gem... is it necessary?
We found the "best" gems about the recommendations like disco, predictor or recommendify ... but they are focused to provide item similarities such as "Users that watched this movie also watched ..."
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Machine learning and something similar to product recommendations
I opened a github issue on the Disco repository to explain better my problem https://github.com/ankane/disco/issues/23
Take look at this gem https://github.com/ankane/disco (check other Ankane repos aswell).
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Personalised Data in Ruby on Rails Ecommerce App
disco - https://github.com/ankane/disco
What are some alternatives?
PHP-DI - The dependency injection container for humans
Pimple - A small PHP dependency injection container
Nette DI - 💎 Flexible, compiled and full-featured Dependency Injection Container with perfectly usable autowiring and support for all new PHP 7 features.
Auryn - IoC Dependency Injector
Container - Small but powerful dependency injection container
zend-servicemanager
ClanCats Container - 🚀 PHP Service Container with fast and cachable dependency injection.
Acclimate - Adapters for PHP framework containers to an interoperable interface
Disco - PSR-11 compatible Dependency Injection Container for PHP.
phpunit-injector - Injects services from a PSR-11 dependency injection container to PHPUnit test cases
php-dependency-injection - PHP Dependency Injection Container PSR-11
Federated-Recommendation-Neural-Collaborative-Filtering - Federated Neural Collaborative Filtering (FedNCF). Neural Collaborative Filtering utilizes the flexibility, complexity, and non-linearity of Neural Network to build a recommender system. Aim to federate this recommendation system.