dair-ai/Transformers-Recipe
🧠A study guide to learn about Transformers
This study guide provides a curated list of resources to help you understand and apply Transformer models. It compiles introductory articles, detailed explanations, technical summaries, and implementation guides. This is for machine learning and natural language processing students and practitioners who want to master one of the most important modern AI concepts.
1,624 stars. No commits in the last 6 months.
Use this if you are a machine learning student or practitioner looking for a structured pathway to learn about Transformer models from theory to implementation.
Not ideal if you are looking for a plug-and-play code library for immediate application without understanding the underlying concepts.
Stars
1,624
Forks
160
Language
—
License
CC0-1.0
Category
Last pushed
Jun 03, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/dair-ai/Transformers-Recipe"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
lvapeab/nmt-keras
Neural Machine Translation with Keras
SirawitC/Transformer_from_scratch_pytorch
Build a transformer model from scratch using pytorch to understand its inner workings and gain...
jaketae/ensemble-transformers
Ensembling Hugging Face transformers made easy
lof310/transformer
PyTorch implementation of the current SOTA Transformer. Configurable, efficient, and...
jiangtaoxie/SoT
SoT: Delving Deeper into Classification Head for Transformer