README.md

Work in process ...

This repository contains a wide range of my models and tests written on machine learning topics based on TensorFlow / PyTorch and other libraries.

Installation

First get the project folder

git clone https://github.com/zhedongzheng/finch.git

Then run any test file as you want

python xxxx_test.py

The main dependence is:

• TensorFlow 1.2
• PyTorch 0.12
• Sklearn

Other Language Support

中文

Contents

• Machine Learning
  • Linear Model
  • Support Vector Machine
  • Ensemble
  • Decomposition
• Deep Learning
  • Multilayer Perceptron
  • Convolutional Network
  • Recurrent Network
  • Autoencoder
  • Highway Network
  • Generative Adversarial Network
• Natural Language Processing
  • Preprocessing
  • Language Model
  • Text Classification
  • Text Generation
  • POS Tagging
  • Segmentation
  • Machine Translation
• Computer Vision
  • OpenCV

Machine Learning

Linear Model

• TensorFlow   |   Linear Regression     Model     Test   |  

• TensorFlow   |   Logistic Regression     Model     Test   |  

• Java   |   Logistic Regression     Model     Test   |  

Support Vector Machine

• TensorFlow   |   Linear SVM Classifier     Model     Test   |  

• Java   |   Linear SVM Classifier     Model     Test   |  

• Libsvm   |   Non-linear SVM Classifier     Model     Test   |  

Ensemble

• NumPy   |   Bagging Classifier     Model     Test   |  

• NumPy   |   Adaboost Classifier     Pseudocode     Model     Test   |  

• NumPy   |   Random Forest Classifier     Model     Test   |  

Decomposition

• TensorFlow   |   Non-negative Matrix Factorization     Model     MovieLens Test   |  

Deep Learning

Multilayer Perceptron

• TensorFlow   |   MLP Classifier     Model     MNIST Test     CIFAR10 Test   |  

• PyTorch   |   MLP Classifier     Model     MNIST Test     CIFAR10 Test   |  

Convolutional Network

• TensorFlow   |   Conv2D Classifier     Model     MNIST Test     CIFAR10 Test   |  

• PyTorch   |   Conv2D Classifier     Model     MNIST Test     CIFAR10 Test   |  

Recurrent Network

• TensorFlow   |   LSTM Classifier     Model     MNIST Test     CIFAR10 Test   |  

• TensorFlow   |   LSTM Regressor     Model     Test     Preview   |  

• PyTorch   |   LSTM Classifier     Model     MNIST Test     CIFAR10 Test   |  

• PyTorch   |   GRU Regressor     Model     Test   |  

Autoencoder

• TensorFlow   |   MLP Autoencoder (weights-tied)     Model   |   MNIST Test   |  

• TensorFlow   |   Conv2D Autoencoder (weights-tied)     Model     MNIST Test     CIFAR10 Test   |  

Highway Network

• TensorFlow   |   MLP Highway Classifier     Model     MNIST Test   |  

• TensorFlow   |   Conv1D Highway Classifier     Model     IMDB Test   |  

Generative Adversarial Network

• TensorFlow   |   MLP GAN     Model     Test   |   MLP Conditional GAN     Model     Test   |  

• TensorFlow   |   DCGAN     MNIST     Model     Test   |  

Natural Language Processing

Text Preprocessing

• Python   |   Text Cleaning

• Python   |   Word Indexing

Language Model

• Sklearn   |   LSA     Book Titles Test   |  

• Python   |   Tri-Gram     Amazon Review Test   |  

• Sklearn   |   TF-IDF     Brown Corpus Test   |  

• TensorFlow   |   Word2vec Skip-Gram     Model     Text8 Test   |  

Text Classification

• Sklearn   |   TF-IDF + Logistic Regression     IMDB Test   |  

• TensorFlow   |   Conv1D     Model     IMDB Test   |   Concat Conv1D     Model     IMDB Test   |  

• TensorFlow   |   LSTM     Model     IMDB Test   |  

• TensorFlow   |   Bi-directional LSTM + Attention     Model     IMDB Test   |  

• TensorFlow   |   Conv1D-LSTM     Model     IMDB Test   |  

• PyTorch   |   Conv1D     Model     IMDB Test   |  

• PyTorch   |   LSTM     Model     IMDB Test   |  

• PyTorch   |   Conv1D-LSTM     Model     IMDB Test   |  

Text Generation

• Python   |   2nd order Markov Model     Robert Frost Test   |  

• TensorFlow   |   Char-RNN     Model     Test   |  

• TensorFlow   |   CNN-RNN     Model     Test   |  

POS Tagging

• TensorFlow   |   LSTM     Model     CoNLL-2000 Test   |   Bi-directional LSTM     Model     CoNLL-2000 Test   |  

• TensorFlow   |   Bi-directional LSTM + CRF     Model     CoNLL-2000 Test   |  

• PyTorch   |   LSTM     Model     CoNLL-2000 Test   |   Bi-directional LSTM     Model     CoNLL-2000 Test   |  

Segmentation

• TensorFlow   |   LSTM     Model     ICWB2 Test   |   Bi-directional LSTM     Model     ICWB2 Test   |  

• TensorFlow   |   Bi-directional LSTM + CRF     Model     ICWB2 Test   |  

• PyTorch   |   LSTM     Model     ICWB2 Test   |   Bi-directional LSTM     Model     ICWB2 Test   |  

Machine Translation

• TensorFlow   |   Dynamic Seq2Seq     Model     Test   |   Dynamic Seq2Seq (Bi-directional Encoder)     Model     Test   |  

Computer Vision

OpenCV

• OP   |   Resize

• OP   |   Rotations

• Segmentation   |   Contours

• Segmentation   |   Sorting Contours

• Detection   |   Face & Eye Detection Using Cascade Classifier

• Detection   |   Walker & Car Detection Using Cascade Classifier