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. | ||||||||||
Chatbot Retrieval | 1,545 | 3 years ago | 56 | mit | Jupyter Notebook | |||||
Dual LSTM Encoder for Dialog Response Generation | ||||||||||
Cove | 467 | 2 years ago | 5 | bsd-3-clause | Python | |||||
Snli Attention | 228 | 7 years ago | 2 | Lua | ||||||
SNLI with word-word attention by LSTM encoder-decoder | ||||||||||
Tts Cube | 216 | 10 months ago | 2 | apache-2.0 | Python | |||||
End-2-end speech synthesis with recurrent neural networks | ||||||||||
Autoencoder | 207 | 5 years ago | 2 | mit | Python | |||||
Text autoencoder with LSTMs | ||||||||||
Attention_ocr.pytorch | 197 | 5 years ago | 23 | Python | ||||||
This repository implements the the encoder and decoder model with attention model for OCR | ||||||||||
Seq2seqsharp | 188 | 3 | 4 months ago | 1 | May 09, 2022 | 6 | other | C# | ||
Seq2SeqSharp is a tensor based fast & flexible deep neural network framework written by .NET (C#). It has many highlighted features, such as automatic differentiation, different network types (Transformer, LSTM, BiLSTM and so on), multi-GPUs supported, cross-platforms (Windows, Linux, x86, x64, ARM), multimodal model for text and images and so on. | ||||||||||
Variational Lstm Autoencoder | 155 | 4 years ago | 4 | mit | Python | |||||
Lstm variational auto-encoder API for time series anomaly detection and features extraction | ||||||||||
Poetry Seq2seq | 154 | 7 years ago | 3 | mit | Jupyter Notebook | |||||
Chinese Poetry Generation |