tomokishii

Modern Gradient Boosting models - how to use GridSearchCV

My current environment is...

• Python 3.5.2
• Scikit-learn 0.18.1
• XGBoost (python-package) 0.6
• LightGBM (python-package) v2.0

tomokishii

Chainer vs. PyTorch Linear Regression

1. linear_reg_chainer.py (Chainer version)
2. linear_reg_pytorch.py (PyTorch version)

• Python 3.5.2 (or 3.5.3)
• Chainer 2.0.0
• PyTorch 0.1.12

tomokishii

1. mnist_cnn.py - baseline code (till TF 1.2)
2. mnist_estimator.py - using TF 1.3 tf.estimator API

tomokishii

PyTorch Logistic Regression ~ MLP model

1. logistic_regression.py - Using torch.nn module, analysing sklearn DIGITS dataset
2. logistic_regression_low.py - NOT using torch.nn module, analysing sklearn DIGITS dataset
3. mnist_mlp.py

tomokishii

#
#   fashion_mnist_theano.py
#       date. 10/2/2017
#
#   REM: I read the article for stopping development of "THEANO".
#        The deep learning framework stimulated me and made me write codes. 
#        I'd like to say thank you to Theano supporting team.
#

import os