nlp_with_transformers_visualizations

NLP with Transformers Visualizations

Welcome to the “NLP with Transformers Visualizations” GitHub repository! This project explores and elucidates the fascinating world of Natural Language Processing (NLP) using transformer models through rich visualizations and comprehensive descriptions.

Project Overview

Transformers have revolutionized how we handle text data, providing breakthroughs in various NLP tasks. This project aims to demystify the architecture of transformers and their application across different domains such as token classification, text summarization, and question-answering. Each module within this repository focuses on a specific application, illustrating how transformers can be adeptly applied to solve complex linguistic challenges.

Features

Chapters

Tools and Technologies

This project utilizes popular NLP libraries such as Hugging Face’s Transformers, TensorFlow, and PyTorch, alongside visualization tools like Matplotlib, Seaborn, and Plotly to bring the concepts of transformers to life.

Get Involved

Whether you’re a student, researcher, or enthusiast in the field of NLP, this repository offers valuable insights and tools to deepen your understanding of transformers. Feel free to fork the project, submit pull requests, or raise issues to contribute to the enhancement of this learning resource.

Jump into the world of NLP with our visually engaging and intellectually stimulating presentations on transformers!

Chapter Links
Chapter 1 Link 1
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Chapter 2 Link 1
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Chapter 3 Link 1
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Chapter 4 Link 1