Slim Framework
Laravel
CodeIgniter
Yii Framework
Symfony
Phalcon
CakePHP
Fat-Free
NumPy
Pandas
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
Slim FrameworkBased on our record, NumPy seems to be a lot more popular than Slim Framework. While we know about 112 links to NumPy, we've tracked only 5 mentions of Slim Framework. 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.
Aside from that there’s other Ruby template systems like Shopify’s liquid, slim & haml (but you need to use it as an engine for use outside of Rails). Source: almost 3 years ago
A lightweight templating engine for Ruby? Where do I sign up? Source: almost 3 years ago
I find that really odd, given the absolute best templating experience I've ever had comes from slim, which is an indent-based ruby experience, as an evolution of haml, which was originally pitched as the html equivalent to the indent-based sass syntax. Source: about 3 years ago
In this article, we’ll test and analyze the performance of three most popular Ruby templating engines: ERB (the default one), HAML, and SLIM. - Source: dev.to / about 3 years ago
I made 3 websites using a ruby staticgen called middleman and the slim ruby templates:. Source: about 3 years ago
How to Accomplish: Develop a script that iterates over the image database, preprocesses each image according to the model's requirements (e.g., resizing, normalization), and feeds them into the model for prediction. Ensure the script can handle large datasets efficiently by implementing batch processing. Use libraries like NumPy or Pandas for data management and TensorFlow or PyTorch for model inference. Include... - Source: dev.to / 4 days ago
NumPy: This library is fundamental for handling arrays and matrices, such as for operations that involve image data. NumPy is used to manipulate image data and perform calculations for image transformations and mask operations. - Source: dev.to / 5 days ago
NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 10 days ago
This guide covers the basics of NumPy, and there's much more to explore. Visit numpy.org for more information and examples. - Source: dev.to / 12 days ago
Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 9 months ago
Laravel - A PHP Framework For Web Artisans
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
CodeIgniter - A Fully Baked PHP Framework
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Yii Framework - Yii is a high-performance component-based PHP framework best for Web 2.0 development.
OpenCV - OpenCV is the world's biggest computer vision library