Gru_ode_bayes
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Pytorch Seq2seq | 5,024 | 3 months ago | mit | Jupyter Notebook | ||||||
| Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText. | ||||||||||
| Pytorch Kaldi | 2,138 | 2 years ago | 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. | ||||||||||
| Cnn Lstm Bilstm Deepcnn Clstm In Pytorch | 965 | a year ago | 1 | apache-2.0 | Python | |||||
| In PyTorch Learing Neural Networks Likes CNN、BiLSTM | ||||||||||
| Seq2seq | 502 | 4 years ago | 11 | mit | Python | |||||
| Minimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch | ||||||||||
| Haste | 298 | 9 months ago | 11 | apache-2.0 | C++ | |||||
| Haste: a fast, simple, and open RNN library | ||||||||||
| Neural Summ Cnndm Pytorch | 194 | 2 years ago | 4 | mit | Python | |||||
| Neural abstractive summarization (seq2seq + copy (or pointer network) + coverage) in pytorch on CNN/Daily Mail | ||||||||||
| Gru_ode_bayes | 169 | 2 years ago | 10 | mit | Jupyter Notebook | |||||
| Pytorch implementation of GRU-ODE-Bayes | ||||||||||
| Pytorch Rnn Text Classification | 145 | 8 months ago | 1 | Python | ||||||
| Word Embedding + LSTM + FC | ||||||||||
| Prediction Flow | 136 | 3 years ago | 5 | March 11, 2021 | 1 | mit | Python | |||
| Deep-Learning based CTR models implemented by PyTorch | ||||||||||
| Hierarchical Attention Network | 117 | 5 years ago | 3 | Jupyter Notebook | ||||||
| Implementation of Hierarchical Attention Networks in PyTorch | ||||||||||
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