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astroml

Machine learning, statistics, and data mining for astronomy and astrophysics

code

Chapter programs/snippets and Solutions to Challenges

data-science-from-scratch

code for Data Science From Scratch book

elektronn

ELEKTRONN is a highly configurable toolkit for training 3d/2d CNNs and general Neural Networks

emcee

The Python ensemble sampling toolkit for affine-invariant MCMC

fundamentals-of-deep-learning-book

Code companion to the O'Reilly "Fundamentals of Deep Learning" book

grokking_algorithms

Code for the book Grokking Algorithms (http://manning.com/bhargava)

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

jeffbar.github.io

:triangular_ruler: A flexible two-column Jekyll theme. Perfect for personal sites, blogs, and portfolios hosted on GitHub or your own server.

mining-the-social-web-2nd-edition

The official online compendium for Mining the Social Web, 2nd Edition (O'Reilly, 2013)

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

neural-style

Torch implementation of neural style algorithm

pcc

Resources for Python Crash Course, from No Starch Press.

pp

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

py4fi

Python for Finance (O'Reilly)

python-machine-learning-book

The "Python Machine Learning" book code repository and info resource

tensorflow_tutorials

From the basics to slightly more interesting applications of Tensorflow

thesis

Source code of my thesis (In Spanish)

thinkbayes

Code repository for Think Bayes.

thinkdsp

LaTeX source and Python code for "Think DSP: Digital Signal Processing in Python", by Allen B. Downey.

thinkpython

Code examples and exercise solutions from Think Python by Allen Downey, published by O'Reilly Media.

thinkstats2

Text and supporting code for Think Stats, 2nd Edition