| bentrevett/pytorch-seq2seq |
5,024 |
|
0 |
0 |
about 2 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText. |
| mravanelli/pytorch-kaldi |
2,138 |
|
0 |
0 |
about 4 years ago |
0 |
|
24 |
|
Python |
| pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit. |
| dalinvip/cnn-lstm-bilstm-deepcnn-clstm-in-pytorch |
965 |
|
0 |
0 |
about 3 years ago |
0 |
|
1 |
apache-2.0 |
Python |
| In PyTorch Learing Neural Networks Likes CNN、BiLSTM |
| keon/seq2seq |
502 |
|
0 |
0 |
over 5 years ago |
0 |
|
11 |
mit |
Python |
| Minimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch |
| lmnt-com/haste |
298 |
|
0 |
0 |
almost 3 years ago |
0 |
|
11 |
apache-2.0 |
C++ |
| Haste: a fast, simple, and open RNN library |
| lipiji/neural-summ-cnndm-pytorch |
194 |
|
0 |
0 |
almost 4 years ago |
0 |
|
4 |
mit |
Python |
| Neural abstractive summarization (seq2seq + copy (or pointer network) + coverage) in pytorch on CNN/Daily Mail |
| edebrouwer/gru_ode_bayes |
169 |
|
0 |
0 |
almost 4 years ago |
0 |
|
10 |
mit |
Jupyter Notebook |
| Pytorch implementation of GRU-ODE-Bayes |
| keishinkickback/Pytorch-RNN-text-classification |
145 |
|
0 |
0 |
over 2 years ago |
0 |
|
1 |
|
Python |
| Word Embedding + LSTM + FC |
| GitHub-HongweiZhang/prediction-flow |
136 |
|
0 |
0 |
about 5 years ago |
5 |
March 11, 2021 |
1 |
mit |
Python |
| Deep-Learning based CTR models implemented by PyTorch |
| pandeykartikey/Hierarchical-Attention-Network |
117 |
|
0 |
0 |
over 7 years ago |
0 |
|
3 |
|
Jupyter Notebook |
| Implementation of Hierarchical Attention Networks in PyTorch |
