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ML Learning Sabbatical Study Materials

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bfortunerbfortuner
added swiss roll to datasets in pytorch basics
Apr 17, 2017
402df87 · Apr 17, 2017

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43 Commits
data
data
Mar 18, 2017
titanic
titanic
Jan 26, 2017
tools
tools
Mar 23, 2017
.gitignore
.gitignore
Apr 15, 2017
CGAN.ipynb
CGAN.ipynb
Apr 17, 2017
DCGAN.ipynb
DCGAN.ipynb
Apr 16, 2017
GAN.ipynb
GAN.ipynb
Apr 17, 2017
ImageHandling.ipynb
ImageHandling.ipynb
Apr 17, 2017
LinearRegressionBasic.ipynb
LinearRegressionBasic.ipynb
Mar 6, 2017
LinearRegressionBasicWithMatrix.ipynb
LinearRegressionBasicWithMatrix.ipynb
Feb 4, 2017
LinearRegressionMultiVariable.ipynb
LinearRegressionMultiVariable.ipynb
Feb 4, 2017
LogisticRegression.ipynb
LogisticRegression.ipynb
Feb 28, 2017
NeuralNetwork.ipynb
NeuralNetwork.ipynb
Mar 6, 2017
NeuralNetworkReLU.ipynb
NeuralNetworkReLU.ipynb
Mar 6, 2017
NeuralNetworkSigmoid.ipynb
NeuralNetworkSigmoid.ipynb
Mar 1, 2017
PytorchBasics.ipynb
PytorchBasics.ipynb
Apr 17, 2017
README.md
README.md
Feb 4, 2017
babi-memnn.ipynb
babi-memnn.ipynb
Mar 24, 2017
bcolz_array_iterator.py
bcolz_array_iterator.py
Mar 18, 2017
benchmark.py
benchmark.py
Mar 20, 2017
cnn_notes.ipynb
cnn_notes.ipynb
Mar 23, 2017
deepcolor.ipynb
deepcolor.ipynb
Apr 7, 2017
dogs_cats_redux.ipynb
dogs_cats_redux.ipynb
Mar 18, 2017
fast_image_processing.ipynb
fast_image_processing.ipynb
Mar 23, 2017
fisheries.ipynb
fisheries.ipynb
Mar 18, 2017
fisheries_transfer.ipynb
fisheries_transfer.ipynb
Mar 18, 2017
imagenet_process.ipynb
imagenet_process.ipynb
Mar 18, 2017
keras_cheatsheet.ipynb
keras_cheatsheet.ipynb
Mar 23, 2017
keras_text_generator.py
keras_text_generator.py
Mar 23, 2017
kmeans_test.ipynb
kmeans_test.ipynb
Mar 23, 2017
mnist_demo.ipynb
mnist_demo.ipynb
Mar 10, 2017
multitasking_python.ipynb
multitasking_python.ipynb
Mar 23, 2017
neural_style_transfer.ipynb
neural_style_transfer.ipynb
Apr 6, 2017
new_neural_style_transfer.ipynb
new_neural_style_transfer.ipynb
Apr 6, 2017
pytorch_cheatsheet.ipynb
pytorch_cheatsheet.ipynb
Apr 9, 2017
rnn_notes.ipynb
rnn_notes.ipynb
Mar 25, 2017
statefarm.ipynb
statefarm.ipynb
Mar 23, 2017
text_generation.ipynb
text_generation.ipynb
Mar 24, 2017
vgg16_avg.py
vgg16_avg.py
Mar 10, 2017
visdom_demo.py
visdom_demo.py
Apr 6, 2017
website-GAN.ipynb
website-GAN.ipynb
Apr 17, 2017

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ML Study

Notebooks and programs for machine learning study

Setup

  1. Install Anaconda
  2. Install python libraries
pip install bcolz
pip install theano
pip install keras

Tools

Tutorials and cheat sheets for libraries and tools

Pandas

Numpy

Scikit-learn

Data School ML Basics with Scikit

Keras

Tensorflow

Tutorial on Tensorflow

Matplotlib

Tmux

Resources

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ML Learning Sabbatical Study Materials

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  • Jupyter Notebook 99.9%
  • Python 0.1%