awesome-nlp-resources
github.com/robofied/awesome-nlp-resources ↗This repository contains landmark research papers in Natural Language Processing that came out in this century.
214
GitHub Stars
34
Curated Resources
3
Categories
23 hours ago
Last Refreshed
How to Read a Paper? :page_with_curl:List of Research PapersList of blogs
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me transformers resources from awesome-nlp-resources"
Installation instructions →What's inside
How to Read a Paper? :page_with_curl:
List of Research Papers
- Attention Is All You NeedTransformers
- Attention Model(Neural Machine Translation By Jointly learning to Align and Translate)Machine Translation
Attention model architecture modified version for encoder decoder models (Don't confuse with
- Bag of Tricks for Efficient Text ClassificationLanguage Models
fastText(by Facebook AI Research) trained on billion of words for text classification.
- BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingTransformers
Multimodal Recurrent Neural Network architecture for image description by
- Convolutional Sequence to Sequence LearningMachine Translation
- Deep contextualized word representationsWord Embeddings
List of blogs
- A Visual Guide to Using BERT for the First Time :boom:Transformers
Very beautifully explained BERT architecture with the help of visuals.
- Email AutoReply and Auto SuggestionMachine Translation
- Find Code errors and repairMachine Translation
- Google Machine Translation BlogMachine Translation
- Image Captioning Using KerasImage to Text
- The Illustrated BERTTransformers
BERT is explained by
Showing a sample of 34 resources. View the full list on GitHub →