Skip to content

Instantly share code, notes, and snippets.

View tomokishii's full-sized avatar

Tomokazu Ishii tomokishii

  • Kanagawa, Japan
View GitHub Profile
@tomokishii
tomokishii / fashion_mnist_theano.py
Created October 2, 2017 05:11
fashion_mist_theano.py - one another mnist (fashion mnist) classification code using Theano. (Goodbye Theano!)
#
# 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
@tomokishii
tomokishii / README.md
Last active April 2, 2020 01:27
PyTorch Logistic Regression ~ MLP model

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
tomokishii / README.md
Last active December 19, 2017 00:46
TensorFlow 1.3 "canned estimators" demo
  1. mnist_cnn.py - baseline code (till TF 1.2)
  2. mnist_estimator.py - using TF 1.3 tf.estimator API
@tomokishii
tomokishii / README.md
Last active May 9, 2019 19:47
Chainer vs. PyTorch - Linear Regression

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
tomokishii / README.md
Last active August 21, 2018 05:26
Modern Gradient Boosting models and Scikit-learn GridSearchCV

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
tomokishii / README.md
Last active January 13, 2018 21:47
TessorFlow tutorial of Variable Scoping

TensorFlow の名前空間を理解して共有変数を使いこなす

関連ファイル:

  1. mnist_ae_varscope.py
  2. mnist_2nets.py
@tomokishii
tomokishii / README.md
Last active November 22, 2016 00:02
Collaborative Filtering Tutorial Codes

Collaborative Filtering Tutorial Codes

The original codes comes from "Coursera Machine Learning" by prof. Andrew Ng, the program assignment of week 9.
I implemented this by Python,
1.Numpy + Scipy.Optimize
2.TensorFlow

  • ex8_cofi.py: Numpy + Scipy.Optimize code
  • check_costfun.py: support functions for ex8_cofi.py
  • cofi_tf.py: TensorFlow code
@tomokishii
tomokishii / chap7.ipynb
Created September 16, 2016 00:04
Python Machine Learning - chapter 7
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
@tomokishii
tomokishii / tf_logistic_reg.py
Last active September 24, 2021 17:35
TensorFlow Logistic Regression tutorial
#
# tf_logistic_reg.py
# date. 11/18/2015
# date. 1/29/2017 - checked under tensorflow 0.12.1
#
# The baseline is the code for 'Theano'.
from __future__ import print_function
import numpy as np