This repository is Basic Pytorch Tutorial for Data Mining Lab. in Sungkyunkwan University
Please visit the website for further information of our lab.
If you have any comment or suggest, you're always welcome.
Basic Practice for Pytorch beginnings
- Contents
- Pytorch Basics
- Linear Regression
- Logistic Regression
- Basic practices using Fashion MNIST Dataset
- Models
- MLP
- RNN
- CNN
- Sentence classification using IMDB Dataset
- Models
- RNN
- CNN
- Machine translation using IWSLT 2016 Dataset (DE -> EN).
- Models
- Seq2Seq w/o Attention Mechanism
- Seq2Seq w/ Attention Mechanism
- Rating prediction using MovieLens 100k
- Models
- Matrix Factorization
- Autoencoder
- 2018, Oct, 20 : ver 0.8 updated. NLP/Seq2Seq evaluation result error exists. (Soon be resolved)
- 2019, Mar, 07 : ver 0.9 updated. NLP/Seq2Seq error resolved. (Code clearance soon be done)