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

Name		Name	Last commit message	Last commit date
Latest commit History 77 Commits
.idea		.idea
data		data
qanet		qanet
.gitignore		.gitignore
README.md		README.md
__init__.py		__init__.py
constants.py		constants.py
download.py		download.py
eval_officiel.py		eval_officiel.py
evaluate-v1.1.py		evaluate-v1.1.py
evaluate.py		evaluate.py
loss.png		loss.png
loss.txt		loss.txt
metrics.py		metrics.py
params.json		params.json
parse_json.py		parse_json.py
pre_process.py		pre_process.py
train.py		train.py
vocab_util.py		vocab_util.py

marquezo/qanet-impl

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QANet

Structure of QANet

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