Libraries tagged by Elearn

gemblue/php-websocket

18 Favers
62 Downloads

Simple websocket library for learning purpose

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geekmusclay/router

0 Favers
15 Downloads

A simple router, for learning and fun

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friends-of-prestashop/customers

4 Favers
4 Downloads

Learn Grid customizations by exemple

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franknv/php-playground

0 Favers
6 Downloads

Learn PHP and Github Actions

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felipe1234-dev/php-dom-query

5 Favers
19 Downloads

Easy-to-learn php dom parser with CSS selector and short codes

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eduardofg87/lets-tdd-a-simple-app

9 Favers
0 Downloads

A simple PHP project to learn TDD

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drakeba/moodle-core

1 Favers
12 Downloads

Moodle - the world's open source learning platform

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delz/hprose

0 Favers
69 Downloads

It is a modern, lightweight, cross-language, cross-platform, object-oriented, high performance, remote dynamic communication middleware. It is not only easy to use, but powerful. You just need a little time to learn, then you can use it to easily construct cross language cross platform distributed application system.

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crodas/phpcluster

15 Favers
22 Downloads

Some Unsupervised learning algorithm in PHP

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cloudinary/analysis

0 Favers
8 Downloads

Use the Analyze API to analyze any external asset and return details based on the type of analysis requested. Currently supports the following analysis options: * [AI Vision - Tagging](https://cloudinary.com/documentation/cloudinary_ai_vision_addon#tagging_mode) * [AI Vision - Moderation](https://cloudinary.com/documentation/cloudinary_ai_vision_addon#moderation_mode) * [AI Vision - General](https://cloudinary.com/documentation/cloudinary_ai_vision_addon#general_mode) * [Google tagging](https://cloudinary.com/documentation/google_auto_tagging_addon) * [Captioning](https://cloudinary.com/documentation/cloudinary_ai_content_analysis_addon#ai_based_image_captioning) * [Cld Fashion](https://cloudinary.com/documentation/cloudinary_ai_content_analysis_addon#supported_content_aware_detection_models) * [Coco](https://cloudinary.com/documentation/cloudinary_ai_content_analysis_addon#supported_content_aware_detection_models) * [Lvis](https://cloudinary.com/documentation/cloudinary_ai_content_analysis_addon#supported_content_aware_detection_models) * [Unidet](https://cloudinary.com/documentation/cloudinary_ai_content_analysis_addon#supported_content_aware_detection_models) * [Human Anatomy](https://cloudinary.com/documentation/cloudinary_ai_content_analysis_addon#supported_content_aware_detection_models) * [Cld Text](https://cloudinary.com/documentation/cloudinary_ai_content_analysis_addon#supported_content_aware_detection_models) * [Shop Classifier](https://cloudinary.com/documentation/cloudinary_ai_content_analysis_addon#supported_content_aware_detection_models) **Notes**: * The Analyze API is currently in development and is available as a Public Beta, which means we value your feedback, so please feel free to [share any thoughts with us](https://support.cloudinary.com/hc/en-us/requests/new). * The analysis options require an active subscription to the relevant add-on. Learn more about [registering for add-ons](https://cloudinary.com/documentation/cloudinary_add_ons#registering_for_add_ons). The API supports both Basic Authentication using your Cloudinary API Key and API Secret (which can be found on the Dashboard page of your [Cloudinary Console](https://console.cloudinary.com/pm)) or OAuth2 ([Contact support](https://support.cloudinary.com/hc/en-us/requests/new) for more information regarding OAuth).

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choult/enamel

17 Favers
7 Downloads

A machine learning library for PHP

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brainstormit/bitbuilder

9 Favers
38 Downloads

Easy to read querybuilder with a short learning curve!

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anteknik/express-blog

5 Favers
9 Downloads

Simple blog engine built using ExpressJS and NodeJS for learning purpose.

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abdulmujib1330/mujibcomposer

0 Favers
6 Downloads

Learning

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aedart/model-vendor-path

1 Favers
67 Downloads

Getter and Setter package for a vendor path. This package is part of the 'Aedart\Model' namespace; visit https://bitbucket.org/aedart/model to learn more about the project. Official sub-package website (https://bitbucket.org/aedart/model-vendor-path).

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