Laravel
Django
CodeIgniter
Ruby on Rails
ASP.NET
Node.js
CakePHP
Flask
Keras
TensorFlow
PyTorch
Scikit-learn
TFlearn
OpenCV
Clarifai
MLKit
LaravelBased on our record, Laravel should be more popular than Keras. It has been mentiond 194 times since March 2021. 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.
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 / 25 days ago
Implementation In this article, we'll delve into the concept of rate limiting in Laravel; a popular PHP framework. We will explore how to set it up, customize it to suit your application's needs, and handle common scenarios. By the end, you'll have the knowledge and confidence to implement rate limiting in your Laravel applications, enhancing their security and stability. - Source: dev.to / about 2 months ago
Delving into PHP frameworks like Laravel or Symfony is like building a skyscraper, with Composer acting as your "construction foreman," guiding you step by step to ensure your code is robust and awe-inspiring. This stage involves getting familiar with popular PHP frameworks such as Laravel, Symfony, CodeIgniter, etc., and utilizing the functionalities provided by these frameworks to rapidly develop efficient,... - Source: dev.to / about 2 months ago
Your very first starting point should be the Laravel documentation. Known for its clear explanations and user-friendly layout, the Laravel documentation makes setup a breeze, ensuring you get off to the best possible start. - Source: dev.to / about 2 months ago
In this tutorial, we will learn how to create a GraphQL API with Laravel, a popular PHP web framework. We will be creating a simple student model, seeding the database with dummy data, setting up a database connection, and creating a GraphQL server by defining our API's schema, queries, and mutations. We’ll also learn how to make requests to our API (test our endpoints) using a tool like Insomnia or Postman. By... - Source: dev.to / 3 months ago
As a beginner, I was looking for something simple and flexible for developing deep learning models and that is when I found Keras. Many AI/ML professionals appreciate Keras for its simplicity and efficiency in prototyping and developing deep learning models, making it a preferred choice, especially for beginners and for projects requiring rapid development. - Source: dev.to / 9 days ago
After setting the variables for the environment, the next step is to install dependencies. To use Gemma, KerasNLP is the dependency used. KerasNLP is a collection of natural language processing (NLP) models implemented in Keras and runnable on JAX, PyTorch, and TensorFlow. - Source: dev.to / 18 days ago
Other popular machine learning tools include PyTorch, Keras, and Scikit-learn. PyTorch is an open-source machine learning library developed by Facebook that is known for its ease of use and flexibility. Keras is a high-level neural networks API that is written in Python and is known for its simplicity. Scikit-learn is a machine learning library for Python that is used for data analysis and data mining tasks. - Source: dev.to / 11 months ago
I'm not aware of anything off-the-shelf, but if you have sufficient programming experience, one way to do this would be to build a large dataset of reference images and pictures and use something like keras to train a convolutional neural network on them. Source: 12 months ago
Pandas comes with many complex tabular data operations. And, since it exists in a Python environment, it can be coupled with lots of other powerful libraries, such as Requests (for connecting to other APIs), Matplotlib (for plotting data), Keras (for training machine learning models), and many more. - Source: dev.to / about 1 year ago
Django - The Web framework for perfectionists with deadlines
TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
CodeIgniter - A Fully Baked PHP Framework
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Ruby on Rails - Ruby on Rails is an open source full-stack web application framework for the Ruby programming...
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.