spaCy is a free library for advanced Natural Language Processing (NLP) in Python. It’s designed specifically for production use and helps you build applications that process and “understand” large volumes of text. It can be used to build information extraction or natural language understanding systems.
Microservice for AI-Powered Learning and Student Support
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Create an ∞ sequence of output extensions utilizing single image generation or GPT-4o text outputs.
An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.
LLMs often ignore instructions to avoid smart quotes, EM/EN dashes, and other symbols. This macOS menu bar app combines spaCy NLP for context-aware processing with a rule-based system to scrub typographic characters from LLM (or any other) output.
Data dashboard for the Soap platform.
A hybrid text summarization system using extractive (spaCy) and abstractive (BERT/GPT) techniques to summarize long-form content from the CNN/DailyMail dataset. Includes model fine-tuning and evaluation on real-world articles.
Screens legal text and extracts sentences containing user input party name-predicate phrases
Fully Local AI Assistant
Search Engine for Information Retrieval Coursework
Automated Reddit bot leveraging RSS feeds and NLP features to create Reddit posts with notifications through Discord webhooks
Natural Language Processing projects for spam detection and sentiment analysis using both Machine Learning and Deep Learning. Includes text preprocessing, vectorization, model training, and evaluation.
SmartWebScraper-CV – AI-Powered Web Page Zone Detection SmartWebScraper-CV est un projet avancé en Computer Vision et NLP qui combine le scraping visuel de pages web, la détection automatique de zones (comme les headers, footers, ads, contenus, etc.), l’OCR, et un module NLP interactif ainsi que l integration de 2 LLM mistral et gemini.
Post caption Labelling Microservice
Agentic AI platform that harnesses Visual LLM Chaining to build proactive digital assistants
This package features data-science related tasks for developing new recognizers for Presidio. It is used for the evaluation of the entire system, as well as for evaluating specific PII recognizers or PII detection models.
A German NLP Pipeline for Lexicographic Use Cases
An NLP-powered Resume Scanner built with Python and Streamlit. Upload job descriptions and resumes, and instantly rank candidates based on semantic similarity using SpaCy and NLTK.
German spaCy models trained on German UD-HDT and on a collection of gold and silver standard NER corpora
Modular, fast NLP framework, compatible with Pytorch and spaCy, offering tailored support for French clinical notes.
Created by Explosion
Latest release about 2 months ago