| Jiakui/awesome-bert |
1,630 |
|
0 |
0 |
about 5 years ago |
0 |
|
6 |
|
|
| bert nlp papers, applications and github resources, including the newst xlnet ， BERT、XLNet 相关论文和 github 项目 |
| oneTaken/awesome_deep_learning_interpretability |
699 |
|
0 |
0 |
over 2 years ago |
0 |
|
2 |
mit |
|
| 深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码) |
| soskek/bert-chainer |
189 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
|
Python |
| Chainer implementation of "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding" |
| createmomo/CRF-Layer-on-the-Top-of-BiLSTM |
181 |
|
0 |
0 |
about 4 years ago |
0 |
|
0 |
mit |
Python |
| The CRF Layer was implemented by using Chainer 2.0. Please see more details here: https://createmomo.github.io/2017/09/12/CRF_Layer_on_the_Top_of_BiLSTM_1/ |
| odashi/chainer_examples |
118 |
|
0 |
0 |
over 9 years ago |
0 |
|
2 |
other |
Python |
| Example usages of Chainer for natural language processing. |
| aonotas/adversarial_text |
94 |
|
0 |
0 |
almost 8 years ago |
0 |
|
4 |
|
Python |
| Code for Adversarial Training Methods for Semi-Supervised Text Classification |
| aonotas/interpretable-adv |
28 |
|
0 |
0 |
about 6 years ago |
0 |
|
1 |
|
Python |
| Code for Interpretable Adversarial Perturbation in Input Embedding Space for Text, IJCAI 2018. |
| pfnet-research/vat_nmt |
18 |
|
0 |
0 |
over 6 years ago |
0 |
|
1 |
mit |
Python |
| Implementation of "Effective Adversarial Regularization for Neural Machine Translation", ACL 2019 |
| dcetin/bert-adv-embed |
12 |
|
0 |
0 |
about 5 years ago |
0 |
|
0 |
|
Python |
| Adversarial perturbations on word embeddings of BERT |
| andreasgrv/johnny |
10 |
|
0 |
0 |
almost 6 years ago |
0 |
|
0 |
other |
Python |
| johnny - a neural network graph based DEPendency Parser |
