spaCy
Laravel
spaCy | Laravel | |
---|---|---|
106 | 352 | |
28,751 | 76,808 | |
0.6% | 0.3% | |
9.2 | 8.9 | |
5 days ago | 14 days ago | |
Python | PHP | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
spaCy
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Step by step guide to create customized chatbot by using spaCy (Python NLP library)
Hi Community, In this article, I will demonstrate below steps to create your own chatbot by using spaCy (spaCy is an open-source software library for advanced natural language processing, written in the programming languages Python and Cython):
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Best AI SEO Tools for NLP Content Optimization
SpaCy: An open-source library providing tools for advanced NLP tasks like tokenization, entity recognition, and part-of-speech tagging.
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Who has the best documentation you’ve seen or like in 2023
spaCy https://spacy.io/
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A beginner’s guide to sentiment analysis using OceanBase and spaCy
In this article, I'm going to walk through a sentiment analysis project from start to finish, using open-source Amazon product reviews. However, using the same approach, you can easily implement mass sentiment analysis on your own products. We'll explore an approach to sentiment analysis with one of the most popular Python NLP packages: spaCy.
- Retrieval Augmented Generation (RAG): How To Get AI Models Learn Your Data & Give You Answers
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Against LLM Maximalism
Spacy [0] is a state-of-art / easy-to-use NLP library from the pre-LLM era. This post is the Spacy founder's thoughts on how to integrate LLMs with the kind of problems that "traditional" NLP is used for right now. It's an advertisement for Prodigy [1], their paid tool for using LLMs to assist data labeling. That said, I think I largely agree with the premise, and it's worth reading the entire post.
The steps described in "LLM pragmatism" are basically what I see my data science friends doing — it's hard to justify the cost (money and latency) in using LLMs directly for all tasks, and even if you want to you'll need a baseline model to compare against, so why not use LLMs for dataset creation or augmentation in order to train a classic supervised model?
[0] https://spacy.io/
[1] https://prodi.gy/
- Swirl: An open-source search engine with LLMs and ChatGPT to provide all the answers you need 🌌
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How to predict this sequence?
spaCy
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What do you all think about (setq sentence-end-double-space nil)?
I chose spacy. Although it's not state of the art, it's very well established and stable.
- spaCy: Industrial-Strength Natural Language Processing
Laravel
- Como configurar imagem Docker(PHP e Nginx) para projetos Laravel com PHP 8.3
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Developing a Reusable and Readable Bash Script for Automated LAMP Stack Deployment
cd /var/www/ || handle_error "Failed to change directory to /var/www/." sudo git clone https://github.com/laravel/laravel.git laravel || handle_error "Failed to clone Laravel repository."
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RESTful APIs with Laravel: Best Practices
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:
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Mastering Application Security: The Power of Rate Limiting
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.
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From Beginner to Master: The Path to Becoming a PHP Guru
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, maintainable web applications. Tools to consider: Laravel, Composer.
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Laravel Roadmap
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.
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Creating GraphQL APIs with Laravel
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 the end of this tutorial, you will have a working GraphQL API that you can continue to expand and improve.
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Top 12 PHP Frameworks For Web Development in 2024
Laravel is an open-source PHP framework on GitHub with 75.7k stars and 24.2k forks used for building web applications. It was first released in 2011 and follows the Model-View-Controller (MVC) architecture. It comes with an expressive and elegant syntax. It is fine-tuned for building professional web applications and ready to handle enterprise workloads. It achieves this by integrating the best packages from the PHP ecosystem and creating a framework that is also developer-friendly. Other than its foundational features, It also provides tools for dependency injection, unit testing, real-time events, and many more.
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Introduction 🚀
For this project, we will use Laravel, one of the biggest, most popular and most complete frameworks for PHP, along with Livewire, which will help us make our notifications real-time and reactive. Let's create a project from scratch and implement authentication and notification features for users tagged in posts.
- Automatizando fluxos de trabalho com GitHub Actions
What are some alternatives?
TextBlob - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
Spiral Framework - High-Performance PHP Framework
Stanza - Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
Gin - Gin is a HTTP web framework written in Go (Golang). It features a Martini-like API with much better performance -- up to 40 times faster. If you need smashing performance, get yourself some Gin.
NLTK - NLTK Source
Slim Framework - Slim is a PHP micro framework that helps you quickly write simple yet powerful web applications and APIs.
BERT-NER - Pytorch-Named-Entity-Recognition-with-BERT
Slim - Slim Framework 4 Skeleton Application
polyglot - Multilingual text (NLP) processing toolkit
Flask - The Python micro framework for building web applications.
textacy - NLP, before and after spaCy
tesseract-ocr-for-php - A wrapper to work with Tesseract OCR inside PHP.