Laravel
Django
Ruby on Rails
CodeIgniter
ASP.NET
Node.js
CakePHP
Flask
Amazon Machine Learning
Machine Learning Playground
Lobe
Apple Machine Learning Journal
ML5.js
Google Cloud Machine Learning
SIMON
TensorFlow
Laravel Amazon Machine LearningBased on our record, Laravel seems to be a lot more popular than Amazon Machine Learning. While we know about 198 links to Laravel, we've tracked only 2 mentions of Amazon Machine Learning. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
APIATO builds on the Laravel framework, utilizing its powerful features such as Eloquent ORM, routing, middleware, and more. This means that developers familiar with Laravel can easily transition to using APIATO. - Source: dev.to / 4 days ago
Laravel is a popular framework for PHP, known for making web development easier and faster. To help you get even more productive with Laravel, we’ll look at three simple strategies: using Laravel Herd as your local host, upgrading to Laravel 11, and adding real-time communication with Laravel Reverb. - Source: dev.to / 4 days ago
I've been working on an application using Next.js on the front-end and Laravel on the back-end as a traditional REST API. As you may know, snake_case is the naming convention for variable and function names in PHP, while camelCase is the naming convention in JavaScript. My database tables and columns use snake_case as well, so I stuck to that design. - Source: dev.to / 7 days ago
Currently Laravel is the "go to" for new PHP applications to mostly developers today, if not, plain PHP, Slim, Symfony and other frameworks does the job, but for Wordpress, custom PHP boilerplates or/and outdated PHP patterns (aka, single ton) is what we have for work in mostly cases, if not, hacky ways to integrate frameworks as Laravel itself or parts of it to leverage a better code structure. - Source: dev.to / 15 days ago
Laravel is a popular PHP framework known for its expressive syntax and rich ecosystem of features. Here's why it shines for building RESTful APIs:. - Source: dev.to / about 1 month ago
There’s also the ML as a service (MLaaS) movement that lowers the barrier for common ML capabilities (eg image object detection and audio transcription). Basically, you use APIs. See: https://aws.amazon.com/machine-learning/. Source: over 1 year ago
Do you have questions about Data Science and ML on AWS - https://aws.amazon.com/machine-learning/. Source: about 3 years ago
Django - The Web framework for perfectionists with deadlines
Machine Learning Playground - Breathtaking visuals for learning ML techniques.
Ruby on Rails - Ruby on Rails is an open source full-stack web application framework for the Ruby programming...
Lobe - Visual tool for building custom deep learning models
CodeIgniter - A Fully Baked PHP Framework
Apple Machine Learning Journal - A blog written by Apple engineers