pytorch project

This repository is implementation of pytorch application

Basic implementation using pytorch

1. recurrentNet: simply implementing recurrent neural network
2. GCN: implementation of graph convolution. In present, clustering and node embedding is done

Paper re-implementation

Following files are re-implementation of several papers. Additional detail is written in each file.

1. GAN: In present, wgan and sin-gan is implemented.
2. Fader_Network: disentanglement of face based on encoder-decoder
3. ArcFace: metric-learning for face verification
4. channel_pruning: pruning method for convolutional layer (usually, used for model acceleration)
5. LotteryTicket: Initial version, some tricks, like warmup, are not implemented.
6. LotteryTicket_late_init: late resetting (described in paper) is applied.
7. mixup: augmentation method

If you find some bags or opinions, feel free to make an issue.