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Illustrated Guide to Transformers: Step by Step Explanation
In this post, we’ll focus on the one paper that started it all, “Attention is all you need”.
transformers illustrated natural-language-processing tutorial
BLINK: Better entity LINKing
Entity Linking python library that uses Wikipedia as the target knowledge base.
named-entity-recognition wikification natural-language-processing code
101 Ways to Solve Search - Dair AI ft. Pratik Bhavsar
A comprehensive overview of explaining how NLP is used for search.
search hybrid-search semantic-search query-augmentation
The Transformer Family
This post presents how the vanilla Transformer can be improved for longer-term attention span, less memory and computation consumption, RL task solving, ...
attention transformers natural-language-processing article
How to Steal Modern NLP Systems with Gibberish?
It’s possible to steal BERT-based models without any real training data, even using gibberish word sequences.
bert adversarial-attacks computer-security adversarial-learning
Transformers - Hugging Face
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
transformers huggingface attention bert
Automatically Generate Multiple Choice Questions (MCQs)
Automatically Generate Multiple Choice Questions (MCQs) from any content with BERT Summarizer, Wordnet, and Conceptnet
question-generation bert wordnet conceptnet
NeuralCook — Image2Ingredients and Cooking Recommendation
Deep learning application to identify ingredients from cooking dishes images and recommend dishes to cook, given a set of ingredients.
cooking text-generation recommendation-systems joint-embeddings
Finetuning Transformers with JAX + Haiku
Walking through a port of the RoBERTa pre-trained model to JAX + Haiku, then fine-tuning the model to solve a downstream task.
jax haiku roberta transformers
BERTology Meets Biology
Interpreting Attention in Protein Language Models.
bert healthcare biology health
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