Amun
Fast stand-alone C++ decoder for RNN-based NMT models
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Nmt | 6,085 | 2 years ago | 275 | apache-2.0 | Python | |||||
| TensorFlow Neural Machine Translation Tutorial | ||||||||||
| Njunmt Tf | 90 | 6 years ago | 1 | apache-2.0 | Python | |||||
| An open-source neural machine translation system developed by Natural Language Processing Group, Nanjing University. | ||||||||||
| 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. | ||||||||||
| Sequencing | 39 | 6 years ago | 1 | mit | Python | |||||
| A flexible and simple framework for sequence to sequence learning. | ||||||||||
| Syntax Awared Nmt | 32 | 6 years ago | 2 | bsd-3-clause | Python | |||||
| Improved Neural Machine Translation with a Syntax-Aware Encoder and Decoder | ||||||||||
| Dynet Att | 27 | 5 years ago | 3 | Python | ||||||
| An attentional NMT model in Dynet | ||||||||||
| Sentence_similarity | 18 | 6 years ago | Python | |||||||
| Sentence Similarity Checker using Encoder Decoder Model | ||||||||||
| Transformer Translator | 14 | 5 years ago | C++ | |||||||
| A C++/CUDA toolkit for Transformer (NMT) Translator (Decoder) | ||||||||||
| Nmt_tutorial | 13 | 3 years ago | Jupyter Notebook | |||||||
| A tutorial on Neural Machine Translation using the Encoder Decoder architecture with attention. | ||||||||||
| Evil | 11 | 2 years ago | gpl-3.0 | Python | ||||||
| EVIL (Exploiting software VIa natural Language) is an approach to automatically generate software exploits in assembly/Python language from descriptions in natural language. The approach leverages Neural Machine Translation (NMT) techniques and a dataset that we developed for this work. | ||||||||||
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