| NVIDIA/DeepLearningExamples |
12,073 |
|
0 |
0 |
about 2 years ago |
0 |
|
295 |
|
Jupyter Notebook |
| State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure. |
| 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 |
| magic282/MXNMT |
122 |
|
0 |
0 |
over 7 years ago |
0 |
|
4 |
|
Python |
| MXNet based Neural Machine Translation |
| balavenkatesh3322/NLP-pretrained-model |
63 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
mit |
|
| A collection of Natural language processing pre-trained models. |
| haven-jeon/ko_en_neural_machine_translation |
51 |
|
0 |
0 |
about 8 years ago |
0 |
|
2 |
|
Jupyter Notebook |
| Korean English NMT(Neural Machine Translation) with Gluon |
| YC-Coder-Chen/English-Chinese-Translator |
5 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
|
Python |
| A seq2seq translation model with attention mechanism in MXNET |
