| google/sentencepiece |
8,851 |
|
120 |
787 |
about 2 years ago |
34 |
May 02, 2023 |
32 |
apache-2.0 |
C++ |
| Unsupervised text tokenizer for Neural Network-based text generation. |
| OpenNMT/OpenNMT-py |
6,449 |
|
2 |
8 |
about 2 years ago |
35 |
November 02, 2023 |
36 |
mit |
Python |
| Open Source Neural Machine Translation and (Large) Language Models in PyTorch |
| bentrevett/pytorch-seq2seq |
5,024 |
|
0 |
0 |
about 2 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText. |
| NiuTrans/MTBook |
2,559 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
|
TeX |
| 《机器翻译:基础与模型》肖桐 朱靖波 著 - Machine Translation: Foundations and Models |
| amanchadha/coursera-deep-learning-specialization |
2,459 |
|
0 |
0 |
over 2 years ago |
0 |
|
22 |
|
Jupyter Notebook |
| Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models |
| OpenNMT/OpenNMT |
2,378 |
|
0 |
0 |
about 6 years ago |
0 |
|
48 |
mit |
Lua |
| Open Source Neural Machine Translation in Torch (deprecated) |
| rsennrich/subword-nmt |
1,937 |
|
18 |
18 |
over 3 years ago |
8 |
December 08, 2021 |
2 |
mit |
Python |
| Unsupervised Word Segmentation for Neural Machine Translation and Text Generation |
| delip/PyTorchNLPBook |
1,899 |
|
0 |
0 |
about 3 years ago |
0 |
|
22 |
apache-2.0 |
Jupyter Notebook |
| Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://amzn.to/3JUgR2L |
| OpenNMT/OpenNMT-tf |
1,410 |
|
9 |
3 |
over 2 years ago |
101 |
August 04, 2023 |
27 |
mit |
Python |
| Neural machine translation and sequence learning using TensorFlow |
| NVIDIA/OpenSeq2Seq |
1,393 |
|
0 |
0 |
almost 5 years ago |
0 |
|
85 |
apache-2.0 |
Python |
| Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP |