All NLP, NLI, NLU resources
Machine Learning Basics
A practical set of notebooks on machine learning basics, implemented in both TF2.0 + Keras and PyTorch.
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).
Deep Tutorials for PyTorch
This is a series of in-depth tutorials I'm writing for implementing cool deep learning models on your own with the amazing PyTorch library.
Paraphrase Any Question with T5 (Text-To-Text Transformer)
Given a question, generate paraphrased versions of the question with T5 transformer. Pretrained model and training script provided.
The Transformer … “Explained”?
An intuitive explanation of the Transformer by motivating it through the lens of CNNs, RNNs, etc.
Summary of 🤗 Transformers Models
A high-level summary of the differences between each model in HuggingFace's Transformer library.
NLP for Developers: Shrinking Transformers | Rasa
In this video, Rasa Senior Developer Advocate Rachael will talk about different approaches to make transformer models smaller.
Machine learning notebooks in different subjects optimized to run in google collaboratory
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