English_to_mongolian_machine_translation
Implementation of seq2seq model for English to Mongolian translation
| 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 | ||||||||||
| Seq2seq | 5,300 | 4 years ago | 194 | apache-2.0 | Python | |||||
| A general-purpose encoder-decoder framework for Tensorflow | ||||||||||
| Bytenet Tensorflow | 316 | 7 years ago | 6 | mit | Python | |||||
| ByteNet for character-level language modelling | ||||||||||
| Keras Transformer | 312 |  | 13 | 3 | 2 years ago | 39 | January 22, 2022 | mit | Python | |
| Transformer implemented in Keras | ||||||||||
| Marian Dev | 241 | 5 months ago | 1 | July 18, 2022 | 120 | other | C++ | |||
| Fast Neural Machine Translation in C++ - development repository | ||||||||||
| Seq2seqsharp | 188 |  | 3 | 3 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. | ||||||||||
| Cdec | 179 | 4 years ago | 52 | apache-2.0 | C++ | |||||
| Decoder, aligner, and model optimizer for statistical machine translation and other structured prediction models based on (mostly) context-free formalisms | ||||||||||
| Niutrans.smt | 133 | 4 months ago | gpl-2.0 | C++ | ||||||
| NiuTrans.SMT is an open-source statistical machine translation system developed by a joint team from NLP Lab. at Northeastern University and the NiuTrans Team. The NiuTrans system is fully developed in C++ language. So it runs fast and uses less memory. Currently it supports phrase-based, hierarchical phrase-based and syntax-based (string-to-tree, tree-to-string and tree-to-tree) models for research-oriented studies. | ||||||||||
| Joshua | 121 | 8 years ago | 1 | February 27, 2018 | 39 | |||||
| Joshua Statistical Machine Translation Toolkit | ||||||||||
| Logisim | 97 | 2 years ago | 7 | gpl-3.0 | Java | |||||
| Logisim Italian Fork | ||||||||||
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Jupyter Notebook
Translation
Decoder
Encoder
Sequence To Sequence
Machine Translation
Gru
Seq2seq Model