This repository serves as a comprehensive, curated encyclopedia of online resources for Natural Language Processing (NLP). It aims to be a central hub for researchers, engineers, and students seeking information on NLP topics, tools, datasets, and best practices, categorized for easy navigation.

How It Works

The project is structured as a vast, interconnected list of links to external resources, including open-source projects (GitHub repositories), papers, blog posts, videos, podcasts, and commercial tools. It uses a system of icons to denote resource types and provides a detailed table of contents covering nearly every facet of NLP, from core concepts like tokenization and embeddings to advanced topics like MLOps for NLP and responsible AI.

Quick Start & Requirements

This is not a software package to install or run. It is a curated list of resources.

Highlighted Details

• Extensive categorization of NLP topics, including benchmarks, frameworks, learning resources, and industry applications.
• Features a wide array of "awesome lists" and compendiums from the NLP community, often with high GitHub star counts.
• Includes dedicated sections for specific NLP tasks like speech recognition, topic modeling, keyword extraction, and ethical considerations.
• Provides links to numerous pre-trained models, datasets, and tutorials for practical application.

Maintenance & Community

The project is maintained by Ivan Bilan. It aggregates community-contributed resources and "awesome lists," indicating a reliance on and contribution to the broader NLP community.

Licensing & Compatibility

The repository itself is licensed under CC0, dedicating all content to the public domain. All linked resources retain their original licenses.

Limitations & Caveats

As a curated list, the quality and maintenance of individual linked resources vary. The sheer volume of information may be overwhelming, and the project does not host any code or data itself, acting solely as a directory.