| brightmart/text_classification |
7,628 |
|
0 |
0 |
over 2 years ago |
0 |
|
45 |
mit |
Python |
| all kinds of text classification models and more with deep learning |
| Kyubyong/transformer |
3,882 |
|
0 |
0 |
about 3 years ago |
0 |
|
134 |
apache-2.0 |
Python |
| A TensorFlow Implementation of the Transformer: Attention Is All You Need |
| PetarV-/GAT |
2,078 |
|
0 |
0 |
over 4 years ago |
0 |
|
27 |
mit |
Python |
| Graph Attention Networks (https://arxiv.org/abs/1710.10903) |
| Diego999/pyGAT |
1,684 |
|
0 |
0 |
over 4 years ago |
0 |
|
32 |
mit |
Python |
| Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903) |
| yunjey/show-attend-and-tell |
908 |
|
0 |
0 |
over 7 years ago |
0 |
|
55 |
mit |
Jupyter Notebook |
| TensorFlow Implementation of "Show, Attend and Tell" |
| charlesXu86/Chatbot_CN |
850 |
|
0 |
0 |
almost 5 years ago |
0 |
|
8 |
apache-2.0 |
|
| 基于金融-司法领域(兼有闲聊性质)的聊天机器人，其中的主要模块有信息抽取、NLU、NLG、知识图谱等，并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口 |
| ilivans/tf-rnn-attention |
703 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
mit |
Python |
| Tensorflow implementation of attention mechanism for text classification tasks. |
| dongjun-Lee/text-summarization-tensorflow |
586 |
|
0 |
0 |
over 3 years ago |
0 |
|
32 |
mit |
Python |
| Tensorflow seq2seq Implementation of Text Summarization. |
| SuperBruceJia/EEG-DL |
563 |
|
0 |
0 |
about 3 years ago |
10 |
May 13, 2020 |
4 |
mit |
Python |
| A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow. |
| benedekrozemberczki/SimGNN |
540 |
|
0 |
0 |
over 3 years ago |
0 |
|
2 |
gpl-3.0 |
Python |
| A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019). |
