| 425776024/nlpcda |
1,573 |
|
0 |
0 |
over 2 years ago |
28 |
July 07, 2021 |
23 |
apache-2.0 |
Python |
| 一键中文数据增强包 ； NLP数据增强、bert数据增强、EDA：pip install nlpcda |
| soulverteam/SoulverCore |
788 |
|
0 |
0 |
about 2 years ago |
0 |
|
0 |
other |
Swift |
| A powerful Swift framework for evaluating natural language math expressions |
| alessiamarcolini/deep-learning_best-practices |
97 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
|
|
| zhanlaoban/Transformers_for_Text_Classification |
84 |
|
0 |
0 |
about 6 years ago |
0 |
|
0 |
|
Python |
| 基于Transformers的文本分类 |
| Lapis-Hong/atec-nlp |
74 |
|
0 |
0 |
almost 8 years ago |
0 |
|
4 |
mit |
Python |
| ATEC 金融大脑-金融智能NLP服务 |
| ptyadana/Data-Science-and-Machine-Learning-Projects-Dojo |
67 |
|
0 |
0 |
about 3 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| collections of data science, machine learning and data visualization projects with pandas, sklearn, matplotlib, tensorflow2, Keras, various ML algorithms like random forest classifier, boosting, etc |
| google-research-datasets/query-wellformedness |
63 |
|
0 |
0 |
over 7 years ago |
0 |
|
1 |
|
|
| 25,100 queries from the Paralex corpus (Fader et al., 2013) annotated with human ratings of whether they are well-formed natural language questions. |
| uvipen/Character-level-cnn-pytorch |
47 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
mit |
Python |
| Character-level CNN for text classification |
| yg211/summary-reward-no-reference |
28 |
|
0 |
0 |
over 3 years ago |
0 |
|
9 |
apache-2.0 |
Python |
| A reference-free metric for measuring summary quality, learned from human ratings. |
| uvipen/Character-level-cnn-tensorflow |
25 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
mit |
Python |
| Character-level CNN for text classification |
