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.
Python implementation of TextRank algorithms ("textgraphs") for phrase extraction
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
The data scientist's open-source choice to scale, assess and maintain natural language data
A sample project that exists for PyPUG's "Tutorial on Packaging and Distributing Projects"
A Python library for calculating a large variety of metrics from text
Modular, fast NLP framework, compatible with Pytorch and spaCy, offering tailored support for French clinical notes
R package providing annotators and a normalized data model for natural language processing
Get a pragmatic assessment how understandable a German text is
This project provides Python scripts for analyzing and visualizing text data using efficient NLP methods
This repository contains Jupyter notebooks on various NLP techniques, including text processing, classification, sentiment analysis, and topic modeling
Here are the two NLP models for text summarization: Abstractive NLP and Extractive NLP
This is the repository for my 2024 Tap Institute Course on spaCy with LLMs
Intel Review Analyzer is a powerful tool designed to help businesses understand customer sentiments through automated analysis of reviews
Fine-tuning the Tiny Llama model to mimic my professor's writing style using the Llama Factory
Fine-tuning SpaCy for Indonesian Named Entity Recognition (NER) with custom dataset
Hey, this repo contains code from deep learning specialization by Andrew NG
A webapp built using Gradio for demonstrating the capabilities of the Spacy NER pipeline
Built a chatbot capable of diagnosing common medical conditions based on user symptoms input