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Examples on using web frameworks for making scientific applications.
Instructions for setting up the software on your deep learning machine
MIT Deep Learning Book in PDF format
Utilities for dealing with Tumblr blogs, Tumblr backup
📐 A flexible two-column Jekyll theme. Perfect for personal sites, blogs, and portfolios hosted on GitHub or your own server.
🔀 Seamlessly specify multiple redirections URLs for your pages and posts.
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow
Apply custom CSS styling to your jupyter notebooks
Run IPython notebooks as command-line scripts, generate HTML reports
A command line utility to display dependency tree of the installed Python packages
A transparent bridge between Git and Dropbox - use a Dropbox (shared) folder as a Git remote! 🎁
A curated list of data science blogs
Python script to put facial features from one face onto another
MSI SteelSeries Keyboard LED Controller
Distributed Evolutionary Algorithms in Python
Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.
Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data
A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines
An example scikit
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
US state metadata and other incredible fun stuff
scikit-learn: machine learning in Python