VIP cheatsheet for Stanford's CME 295 Transformers and Large Language Models

「BERTによる自然言語処理入門: Transformersを使った実践プログラミング」サポートページ

My solutions to selected exercises to "Natural Language Processing with Python – Analyzing Text with the Natural Language Toolkit" by Steven Bird, Ewan Klein, and Edward Loper.

Transformers for Natural Language Processing, published by Packt

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

The official code repository for examples in the O'Reilly book 'Generative Deep Learning'

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

Hands-On Application Development with PyCharm, published by Packt

Projects and exercises for the Udacity Intro to Machine Learning with TensorFlow course

High performance tokenizers for natural language processing and other related tasks