data-science-ipython-notebooks

by donnemartin · Machine Learning

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark,

★ New0 ratings29,340 stars● Active

Machine LearningAI ApplicationPythonCSS

data-science-ipython-notebooks — image 1

1 / 6

About this project

data-science-ipython-notebooks Index deep-learning tensorflow theano keras caffe scikit-learn statistical-inference-scipy pandas matplotlib numpy python-data kaggle-and-business-analyses spark mapreduce-python amazon web services command lines misc notebook-installation credits contributing contact-info license deep-learning IPython Notebook(s) demonstrating deep learning functionality. tensor-flow-tutorials Additional TensorFlow tutorials: pkmital/tensorflowtutorials nlintz/TensorFlow-Tutorials alrojo/tensorflow-tutorial BinRoot/TensorFlow-Book tuanavu/tensorflow-basic-tutorials Notebook Description…

Technologies

PythonDockerfileMakefileCSSawsbig-datacaffe

Project health

● Inactive for over a year

Last update2 years ago

Contributors12

Latest release—

Open issues & PRs48

LicenseOther

On GitHubsince 2015

GitHub

29,340

stars

8,020

forks

contributors

open issues & PRs

Python

language

2 years ago

last commit

View on GitHub ↗

Reviews

—out of 5 · 0 ratings

★★★★★

★★★★

★★★

★★

★

No reviews yet

Be the first to review data-science-ipython-notebooks.

Built by

donnemartin

Imported from GitHub · not yet claimed on GitPalace

View developer page Sign in with GitHub to claim

Maintain donnemartin/data-science-ipython-notebooks? Claiming verifies admin access through your GitHub account and gives you control of this listing.