spaCy
Django
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spaCy | Django | |
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106 | 484 | |
28,704 | 76,778 | |
1.3% | 1.2% | |
9.2 | 9.8 | |
8 days ago | about 24 hours ago | |
Python | Python | |
MIT License | BSD 3-clause "New" or "Revised" 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
Django
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AutoCodeRover resolves 22% of real-world GitHub in SWE-bench lite
>As an example, AutoCodeRover successfully fixed issue #32347 of Django.
This bug was fixed three years ago in a one-line change.[0] Presumably the fix was already in the training data.
[0] https://github.com/django/django/pull/13933
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An Introduction to Testing with Django for Python
You should not test Django's own code — it's already been tested. For example, you don't need to write a test that checks if an object is retrieved with get_object_or_404 — Django's testing suite already has that covered.
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Django Hello, World
Django is a high-level Python web framework that prioritizes rapid development with clear, reusable code. Its batteries-included approach supplies most of what you need for complex database-driven websites without turning to external libraries and dealing with security and maintenance risks. In this tutorial, we will build a traditional "Hello, World" application while introducing you to the core concepts behind Django.
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Where can I create a website for free (no domain needed, basic server hosting, not something like Wix)
If you want to get into Python web development then Django can be a good place to start. https://www.djangoproject.com/
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I like this docstring from django source code
If found this:
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No changes detected with MAKEMIGRATION command after moving to new DataBase
Django's auth and session migration files are included with Django at https://github.com/django/django/tree/b287af5dc954628d4b336aefc5027b2edceee64b/django/contrib/auth/migrations and https://github.com/django/django/tree/b287af5dc954628d4b336aefc5027b2edceee64b/django/contrib/sessions/migrations
- What should I learn
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The DevRel Digest November 2023: DevRel You Should Know Part One and Why I Will Never, Ever Leave Developer Relations
Dawn Wages’ name came up a few times in my call for nominations, and it’s easy to see why! Dawn is a Python Community Advocate at Microsoft. She is active in the Django community with an emphasis on people of color and queer people in tech. Dawn’s impressive resume includes OSS maintainer, member of the Wagtail Core Team, DjangoCon '21, '22, '23 Sponsorship Chair, volunteer for Django Girls, and DjangoCon Africa 2021 Sponsorship Chair.
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CodeCraze🚀 - create your own blog in Django | Part 0 | Project Setup
In this Article, we create our own blog called CodeCraze using Django, a popular web framework written in python. Django is designed to help developers to rapidly build their web applications from concept to completion in an efficient way. Its a batteries included framework which provides out of the box functionalities such as ORM, API Integration, authentication, form handling & many more...
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Implementing Role-Based Access Control in Django
There are many models of access control, however, in this guide, we are going to focus on Role Based Access Control (RBAC) and how to implement it in Django.
What are some alternatives?
TextBlob - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
Nest - A progressive Node.js framework for building efficient, scalable, and enterprise-grade server-side applications with TypeScript/JavaScript 🚀
Stanza - Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
NLTK - NLTK Source
Flask - The Python micro framework for building web applications.
BERT-NER - Pytorch-Named-Entity-Recognition-with-BERT
Masonite - The Modern And Developer Centric Python Web Framework. Be sure to read the documentation and join the Discord channel for questions: https://discord.gg/TwKeFahmPZ
polyglot - Multilingual text (NLP) processing toolkit
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
textacy - NLP, before and after spaCy
Nuxt.js - Nuxt is an intuitive and extendable way to create type-safe, performant and production-grade full-stack web apps and websites with Vue 3. [Moved to: https://github.com/nuxt/nuxt]