Skip to content

README.md

Latest commit

 

History

History
26 lines (21 loc) · 718 Bytes

README.md

File metadata and controls

26 lines (21 loc) · 718 Bytes

QANet

Pytorch implementation of QAnet

Authors (equal contribution) : Patrice Béchard, Orlando Marquez, Benjamin Rosa, Nicholas Vachon

Structure of QANet

The various modules presented below are found in the qanet folder. The various classes can be found in their respective file i.e. InputEmbedding can be found in the file input_embedding.py

  • QANet
    • InputEmbedding
      • WordEmbedding
      • CharaterEmbedding
      • Highway
    • EmbeddingEncoder
      • EncoderBlock
        • PositionEncoding
        • LayerNorm
        • SelfAttention
    • ContextQueryAttention
    • ModelEncoder
      • EncoderBlock
        • LayerNorm
        • SelfAttention
    • Output