yoongi0428 / dmlab_torch_tutorial

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. 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

  • Models
    • MLP
    • RNN
    • CNN

2. Natural Language Processing

- 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

3. Recommender System

- Rating prediction using MovieLens 100k

  • 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)

About

Pytorch Tutorial for DM Lab

License:Apache License 2.0


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Language:Python 100.0%