SJinping/torch_light

Deep-learning by using Pytorch. Basic nns like Logistic, CNN, RNN, LSTM and some examples are implemented by complex model.

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This repository includes basics and advanced examples for deep learning by using Pytorch.
Basics which are basic nns like Logistic, CNN, RNN, LSTM are implemented with few lines of code, advanced examples are implemented by complex model.
It is better finish Official Pytorch Tutorial before this.

Continue updating...

Tabel of Pytorch Examples

1. Basics

• Cbow
• N-Gram
• CNN Text classfication
• LSTM Text classfication

2. Reinforcement Training

• Image-Cap
• Reinforced Translate
• Toy

3. NLP

• Poetry VAE-NLG
• Seq2seq
• BiLSTM CRF NER
• LSTM CNNs CRF
• Chinese Poetry NLG
• BiMPM
• Pair Ranking Cnn
• BiLSTM CRF

4. Vision

• DenseNet
• Neural Style
• DC Gan

5. Special Things

• Customize

Getting Started

$ git clone git@github.com:ne7ermore/torch_light.git
$ cd torch_light/project
$ python main.py

Dependencies

• Python 3.5
• PyTorch 0.2.0
• Numpy 1.13.1

Author

Ne7ermore Tao/ @ne7ermore