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Neural Attention Implementations
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| name | framework | models | url | |
|---|---|---|---|---|
| seq2seq | Keras | RNNSearch | https://github.com/farizrahman4u/seq2seq | |
| Keras Attention Mechanism | Keras | RNNSearch + application directly on inputs | https://github.com/philipperemy/keras-attention-mechanism | |
| Attention-over-Attention | tensorflow | Attention-over-Attention | https://github.com/OlavHN/attention-over-attention | |
| textClassifier | Keras | Hierarchical Attention Networks | https://github.com/richliao/textClassifier | |
| snli-entailment | Keras | Rocktaschel's LSTM with attention | https://github.com/shyamupa/snli-entailment | |
| Sockeye | Apache MXNet | RNNSearch,Transformer Models with self-attention | https://github.com/awslabs/sockeye | |
| Attention Is All You Need | PyTorch | Transformer | https://github.com/jadore801120/attention-is-all-you-need-pytorch | |
| transformer | tensorflow | Transformer | https://github.com/DongjunLee/transformer-tensorflow | |
| OpenNMT | PyTorch | RNNSearch, Luong’s global, Transformer | http://opennmt.net/OpenNMT-py/onmt.modules.html#attention | |
| Attention Sum Reader | Theano | Attention Sum Reader | https://github.com/rkadlec/asreader |
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