| 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 |
| 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/CTranslate2 |
2,437 |
|
0 |
23 |
about 2 years ago |
103 |
December 05, 2023 |
110 |
mit |
C++ |
| Fast inference engine for Transformer models |
| OpenNMT/OpenNMT |
2,378 |
|
0 |
0 |
about 6 years ago |
0 |
|
48 |
mit |
Lua |
| Open Source Neural Machine Translation in Torch (deprecated) |
| 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 |
| huseinzol05/NLP-Models-Tensorflow |
1,329 |
|
0 |
0 |
over 5 years ago |
0 |
|
3 |
mit |
Jupyter Notebook |
| Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0 |
| awslabs/sockeye |
1,190 |
|
2 |
0 |
over 2 years ago |
85 |
March 03, 2023 |
3 |
apache-2.0 |
Python |
| Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch |
