README.md

Lab 10

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For self-study (all students):

• Attention Is All You Need: https://arxiv.org/abs/1706.03762
• Attention Is ALl You Need video: https://www.youtube.com/watch?v=iDulhoQ2pro
• Must watch: Neural Networks (chapter 5 - chapter 7)

Supplementary materials:

• Multi-Headed Attention implementation.
• Transformer Encoder and Decoder Models implementation
• Fixed Positional Encodings implementation

Advanced (for students who want to learn more):

• An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (ViT): paper, code, video
• BERT: paper code, video
• GPT-2: paper, code, video

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Transformer and ViT implementations:

• https://github.com/lucidrains/vit-pytorch
• https://github.com/lucidrains/x-transformers

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References:

• https://jalammar.github.io/illustrated-transformer/
• https://jalammar.github.io/visualizing-neural-machine-translation-mechanics-of-seq2seq-models-with-attention/