dmlab_torch_tutorial

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dmlab_torch_tutorial

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Pytorch Tutorial for DM Lab

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# Pytorch Tutorial for DM Lab

## Description
This repository is Basic Pytorch Tutorial for [Data Mining Lab.](http://dm.skku.edu) in Sungkyunkwan University\
Please visit the website for further information of our lab.\
\
If you have any comment or suggest, you're always welcome.

## Contents

### 0. Pytorch Basics
**Basic Practice for Pytorch beginnings**
* Contents
    - [ ] Pytorch Basics
    - [ ] Linear Regression
    - [ ] Logistic Regression

### 1. Neural Network Basics
**- Basic practices using [Fashion MNIST Dataset](https://github.com/zalandoresearch/fashion-mnist)**
* Models
    - [ ] MLP
    - [ ] RNN
    - [ ] CNN
    
### 2. Natural Language Processing
**- Sentence classification using [IMDB Dataset](https://www.imdb.com/interfaces/)**
- Models
    - [ ] RNN
    - [ ] CNN
    
**- Machine translation using [IWSLT 2016 Dataset](https://sites.google.com/site/iwsltevaluation2016/) (DE -> EN).**
- Models
    - [ ] Seq2Seq w/o Attention Mechanism
    - [ ] Seq2Seq w/ Attention Mechanism
    
### 3. Recommender System
**- Rating prediction using [MovieLens 100k](https://grouplens.org/datasets/movielens/)**
- Models
    - [ ] Matrix Factorization
    - [ ] Autoencoder
    
    
## Update Notes

- 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)

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