Neural Dialogue System
SEQ2SEQ model with Attention mechanism for QA also for NMT +(Generating text using LSTM network)
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Nmt Keras | 514 | 3 years ago | 4 | mit | Python | |||||
| Neural Machine Translation with Keras | ||||||||||
| Paraphraser | 381 | a year ago | 30 | mit | Python | |||||
| Sentence paraphrase generation at the sentence level | ||||||||||
| Eureka Mangonmt | 89 | 5 years ago | C++ | |||||||
| A C++ toolkit for neural machine translation for CPU | ||||||||||
| Mlpnlp Nmt | 43 | 5 years ago | 1 | other | Python | |||||
| This is a sample code of "LSTM encoder-decoder with attention mechanism" mainly for understanding a recently developed machine translation framework based on deep neural networks. | ||||||||||
| Nmt Attention Tf2 | 36 | 5 years ago | 2 | mit | Python | |||||
| 👫 Effective Approaches to Attention-based Neural Machine Translation implemented as Tensorflow 2.0 | ||||||||||
| Psgd_tf | 34 | 5 months ago | Python | |||||||
| Tensorflow implementation of preconditioned stochastic gradient descent | ||||||||||
| Rnn Notebooks | 33 | 4 years ago | Jupyter Notebook | |||||||
| RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials) | ||||||||||
| Variational Nmt | 28 | 6 years ago | 1 | Python | ||||||
| Variational Neural Machine Translation System | ||||||||||
| Dynet Att | 27 | 5 years ago | 3 | Python | ||||||
| An attentional NMT model in Dynet | ||||||||||
| 2d Lstm Seq2seq | 15 | 5 years ago | mit | Python | ||||||
| PyTorch implementation of a 2D-LSTM Seq2Seq Model for NMT. | ||||||||||
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Python
Neural Network
Lstm
Recurrent Neural Networks
Language Model
Sequence To Sequence
Attention Mechanism
Nmt
Seq2seq Model