ModernNLP
Articles, tutorials and research in modern NLP
natural-language-processing
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Top Down Introduction to BERT with HuggingFace and PyTorch
I will also provide some intuition into how BERT works with a top down approach (applications to algorithm).
bert top-down huggingface pytorch
PyTorch Transformers Tutorials
A set of annotated Jupyter notebooks, that give user a template to fine-tune transformers model to downstream NLP tasks such as classification, NER etc.
transformers text-classification text-summarization named-entity-recognition
The Future of (Transfer Learning in) Natural Language Processing
Transfer Learning in Natural Language Processing (NLP): Open questions, current trends, limits, and future directions.
natural-language-processing transfer-learning tutorial video
NLP Model Selection
NLP model selection guide to make it easier to select models. This is prescriptive in nature and has to be used with caution.
transfer-learning natural-language-processing neural-networks transformers
The Transformer … “Explained”?
An intuitive explanation of the Transformer by motivating it through the lens of CNNs, RNNs, etc.
transformers natural-language-processing article convolutional-neural-networks
NLP for Developers: Shrinking Transformers | Rasa
In this video, Rasa Senior Developer Advocate Rachael will talk about different approaches to make transformer models smaller.
model-compression distillation pruning transformers
Generate Boolean (Yes/No) Questions From Any Content
Question generation algorithm trained on the BoolQ dataset using T5 text-to-text transformer model.
question-generation transformers huggingface t5
T5 fine-tuning
A colab notebook to showcase how to fine-tune T5 model on various NLP tasks (especially non text-2-text tasks with text-2-text approach)
natural-language-processing transformers text-2-text t5
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Data scientist/software engineer, machine learning practitioner
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