leetcode-compensation
spaCy
leetcode-compensation | spaCy | |
---|---|---|
2 | 113 | |
111 | 32,385 | |
- | 1.1% | |
0.0 | 8.7 | |
about 3 years ago | 3 months ago | |
Python | Python | |
- | MIT License |
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leetcode-compensation
- Tool to analyse leetcode compensations (India: Jan-Jul'24)
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Leetcode Total Compensation report (India) 5th Jan 2019 - 5th Aug 2021
- Show some ❤️ if you find it useful - https://github.com/urk-stav/leetcode-compensation
spaCy
- SpaCy: Industrial-Strength Natural Language Processing (NLP) in Python
- spaCy - NLP in Python
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15,000 lines of verified cryptography now in Python
Geez honestly
This seems to be the issue https://github.com/explosion/spaCy/issues/13658#issuecomment...
And you depend on opinionated libraries that break with newer versions. Why? Well because f you that's why! Because our library is not just a tool, it's a lifestyle
Though it seems that Pydantic 1x does support 3.13 https://docs.pydantic.dev/1.10/changelog/#v11020-2025-01-07
- SpaCy – Industrial-Strength Natural Language Processing in Python
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350M Tokens Don't Lie: Love and Hate in Hacker News
Is this just using LLM to be cool? How does pure LLM with simple "In the scale between 0-10"" stack up against traditional, battle-tested sentiment analysis tools?
Gemini suggests NLTK and spaCy
https://www.nltk.org/
https://spacy.io/
- How I discovered Named Entity Recognition while trying to remove gibberish from a string.
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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.
What are some alternatives?
autoscraper - A Smart, Automatic, Fast and Lightweight Web Scraper for Python
Stanza - Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
stanford-tensorflow-tutorials - This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
NLTK - NLTK Source
sbi-tt-rates-historical - Historical SBI TT rates since 02 July 2020. These are one of important rates required for ITR purposes and not made readily available by RBI/SBI unfortunately.
polyglot - Multilingual text (NLP) processing toolkit