jiacheng-ye / models Goto Github PK

Some machine learning models in scikit-learn and deep learning models in pytorch.

Included:

1. basic
   • 1_basic.py: pytorch的基本用法。
   • 2_hook.py: pytorch中的钩子函数。
   • 3_pack_pad: 使用pack_padded_sequence来处理用RNN时遇到变长序列的情况。
2. Visualization
   • tbx.py: pytorch中使用tensorboardX。
   • matplotlib_notes.ipynb: 一些关于matplotlib的笔记。
3. Regression
   • Linear Regression: 基于pytorch
   • Logistic Regression: 基于pytorch，基于numpy详见code-for-nlp-beginner
   • Gaussian Process Regression: 基于sklearn。
4. Classification
   • compare.ipynb: 常见机器学习分类算法在人造数据上的分类效果，参考sklearn。
5. Neural Network
   1. MLP
   2. CNN
   3. RNN
   4. Generative Models
      1. RBM
      2. VAE: VAE and CVAE
      3. GAN
   5. Transformer
   6. others
      1. residual block
6. Reinforcement Learning
   • Q-Learning
   • Sarsa, Sarsa-lambda
   • Deep Q Network
   • Policy Gradient
   • Actor Critic
7. Projects
   • image captioning
   • language model using RNN
   • sentiment analysis on IMDB
   • stock prediction using LSTM
   • style transfer
8. Kaggle
   • titanic: score 81.818%, top 5%
   • Sentiment Analysis on Movie Reviews: 详见code-for-nlp-beginner， score 63.61%, top 20%

Reference:

1. https://github.com/wiseodd/generative-models
2. https://scikit-learn.org
3. https://github.com/yunjey/pytorch-tutorial
4. https://github.com/MorvanZhou/PyTorch-Tutorial