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ml-final's Introduction

ML-Final

This is the final project for the machine learning course.

How to Start

  1. Prepare Data

    cd ML-Final
unzip data/data.zip

    Make sure that data path is ML-Final/data/data_96-xx

  2. Configure Settings

    Copy ML-Final/src/run.py to do experiments. ** Avoid modifying the original file! **

    Open run.py. Locate TODO marks. Modify as needed.

  3. Run Code

    python run.py

File Structure

ML-Final
|-README.md
|-requirements.txt
|-data
| |-raw_data
| |-notes
| | |-数据分析.md
|-references
| |-references code
| |-references note
| |-references paper
|-requirements.txt
|-src
| |-analyze.py
| |-arguments.py
| |-data.py
| |-gpuManager.py
| |-logger.py
| |-main.py
| |-metrics.py
| |-model
| | |-__init__.py
| | |-_test_model.py
| | |-configs.py
| | |-criterion.py
| | |-LSTM.py
| | |-Transformer.py
| | |-GRU.py
| | |-CNN.py
| | |-ExtendedVecto.py
| |-run.py
| |-utils.py
|-experiment
| |-ckpt
| |-experiment_analysis
| | |-visualize.ipynb
| |-log_space

ml-final's People

Contributors

zpwang-ai avatar chongz-suda avatar suda-mtl avatar

Stargazers

avatar avatar avatar

Watchers

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ml-final's Issues

数据

下载、分析、预处理数据。
划分数据集，滑动窗口制作数据集，参考教程。

报告

1.问题介绍
2.模型（图、伪代码）
3.结果与分析
预测曲线对比。对比方法。
4.讨论

模型

实现 Transformer 与 LSTM ，参考Tutorials 。
自定义改进模型：

  • Transformer 类
  • 卷积类

相关文献

推荐文献共7篇，摘要总结并写进relate work。
语言处理、语音识别、基因序列预测等领域，另寻相关方法。

实验

调参，实验。
分析结果，可视化。

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