This repository is a curated list of resources for Transformer and transfer learning in Natural Language Processing (NLP), targeting researchers, engineers, and practitioners. It provides a comprehensive overview of key papers, articles, educational materials, implementations, and tools related to Transformer architectures like BERT and GPT, aiming to serve as a central hub for staying updated in this rapidly evolving field.

How It Works

The repository organizes a vast collection of links and references, categorized by topic such as specific architectures (BERT, GPT, Transformer-XL), attention mechanisms, and applications (NER, classification, text generation). It includes seminal papers, explanatory articles, code implementations across various frameworks (PyTorch, TensorFlow), and discussions on advancements like LLMs, RLHF, and efficient Transformer variants.

Quick Start & Requirements

This repository is a curated list of resources, not a runnable software package. No installation or specific requirements are needed to browse its content.

Highlighted Details

• Extensive coverage of Transformer variants, including efficient architectures like Reformer, LongNet, and FlashAttention.
• Detailed sections on Generative Pre-trained Transformers (GPT), including GPT-2, GPT-3, and ChatGPT, with links to papers and explanations.
• Resources on transfer learning in NLP, highlighting its significance and evolution from ULMFiT to modern LLMs.
• A broad collection of implementation links across popular frameworks like Hugging Face Transformers, PyTorch, and TensorFlow.

Maintenance & Community

The repository is maintained by cedrickchee. It serves as a community resource, aggregating links from various sources, including academic papers, blog posts, and GitHub repositories.

Licensing & Compatibility

Code developed by Cedric Chee is under the MIT license. Text content is under the CC-BY-SA 4.0 license. Third-party content is distributed under their respective licenses.

Limitations & Caveats

As a curated list, the repository's content is dependent on the availability and maintenance of the linked external resources. It does not provide direct functionality or code execution.