cnn-lstm-bilstm-deepcnn-clstm-in-pytorch - GitLite

KO | EN

gitlite — search

#python #ai #llm #go #android #machine-learning #deep-learning #docker #macos #nodejs #awesome-list #vue #security #ios

cnn-lstm-bilstm-deepcnn-clstm-in-pytorch

(★ 1,449)

In PyTorch Learing Neural Networks Likes CNN、BiLSTM

파일 탐색기

최종 버전 다운로드 (.zip)

- config.cfg
- config.py
- README.md
- raw.clean.dev
- raw.clean.test
- raw.clean.train
- __init__.py
- mydatasets_self_five.py
- mydatasets_self_two.py
- __init__.py
- Common.py
- handle_wordEmbedding2File.py
- Load_Pretrained_Embed.py
- sst_all.txt
- __init__.py
- model.py
- model_BiGRU.py
- model_BiLSTM.py
- model_BiLSTM_1.py
- model_BiLSTM_lexicon.py
- model_CBiLSTM.py
- model_CGRU.py
- model_CLSTM.py
- model_CNN.py
- model_CNN_BiGRU.py
- model_CNN_BiLSTM.py
- model_CNN_LSTM.py
- model_CNN_MUI.py
- model_DeepCNN.py
- model_DeepCNN_MUI.py
- model_GRU.py
- model_HighWay_BiLSTM_1.py
- model_HighWay_CNN.py
- model_LSTM.py
- README.md
- log-bigru-2
- log-bigru-5
- log-bilstm-2
- log-bilstm-5
- log_cnn_2.txt
- log_cnn_5.txt
- .gitignore
- glove.sentiment.conj.pretrained.txt
.gitignore
__init__.py
LICENSE
main.py
README.md
run.sh
train_ALL_CNN.py
train_ALL_LSTM.py

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

## Introduction ##

- A classification task implement in pytorch, contains some neural networks in [models](https://github.com/bamtercelboo/cnn-lstm-bilstm-deepcnn-clstm-in-pytorch/tree/master/models).

* Recenely,  I've released the code. 
	* **old-version-17** release [here](https://github.com/bamtercelboo/cnn-lstm-bilstm-deepcnn-clstm-in-pytorch/releases/tag/pytorch0.3.1-old_version_17)  
	* **pytorch version == 0.3.1** release on [here](https://github.com/bamtercelboo/cnn-lstm-bilstm-deepcnn-clstm-in-pytorch/releases/tag/pytorch0.3.1)

- This is a version of my own architecture  ---  [pytorch-text-classification](https://github.com/bamtercelboo/pytorch_text_classification)

- **BERT For Text Classification**  --- [PyTorch_Bert_Text_Classification](https://github.com/bamtercelboo/PyTorch_Bert_Text_Classification)

## Requirement ##

pyorch : 1.0.1
	python : 3.6
	torchtext: 0.2.1
	cuda : 8.0 (support cuda speed up, can chose, default True)

## Usage ##
 
modify the config file, see the Config directory([here](https://github.com/bamtercelboo/cnn-lstm-bilstm-deepcnn-clstm-in-pytorch/tree/master/Config)) for detail.

1、python main.py
	2、python main.py --config_file ./Config/config.cfg 
	3、sh run.sh

## Model ##

Contains some neural networks implement in pytorch, see the [models](https://github.com/bamtercelboo/cnn-lstm-bilstm-deepcnn-clstm-in-pytorch/tree/master/models) for detail.

## Data ##

SST-1 and SST-2.

## Result ##

I haven't adjusted the hyper-parameters seriously, you can also see train log in [here](https://github.com/bamtercelboo/cnn-lstm-bilstm-deepcnn-clstm-in-pytorch/tree/master/result).

The following test set accuracy are based on the best dev set accuracy.

| Data/Model | % SST-1 | % SST-2 |  
| ------------ | ------------ | ------------ |  
| CNN | 46.1086 | 84.2943 |  
| Bi-LSTM | 47.9186 | 86.3262 |  
| Bi-GRU | 47.6923 | 86.7655 |

## Reference ##

- [基于pytorch的CNN-LSTM神经网络模型调参小结](http://www.cnblogs.com/bamtercelboo/p/7469005.html "基于pytorch的CNN-LSTM神经网络模型调参小结")
- [Convolutional Neural Networks for Sentence Classification](https://arxiv.org/pdf/1408.5882.pdf)
-  [Context-Sensitive Lexicon Features for Neural Sentiment Analysis](https://arxiv.org/pdf/1408.5882.pdf)