Carlos A Gomez Gonzalez's starred repositories
machine-learning-cheat-sheet
Classical equations and diagrams in machine learning
pattern_classification
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
scikit-learn-videos
Jupyter notebooks from the scikit-learn video series
elements-of-python-style
Goes beyond PEP8 to discuss what makes Python code feel great. A Strunk & White for Python.
matplotlib_for_papers
Handout for the tutorial "Creating publication-quality figures with matplotlib"
benchm-ml
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
Python-for-Signal-Processing
Notebooks for "Python for Signal Processing" book
Theano-Tutorials
Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano.
scikit-neuralnetwork
Deep neural networks without the learning cliff! Classifiers and regressors compatible with scikit-learn.
PyMultiNest
Pythonic Bayesian inference and visualization for the MultiNest Nested Sampling Algorithm and PyCuba's cubature algorithms.
image_registration
Image Registration for Astronomy
StatisticalMethods
Course notes and resources for Stanford University graduate course PHYS366: Statistical Methods in Astrophysics
scipy-2015-cython-tutorial
Content for the SciPy 2015 Cython tutorial: http://www.scipy2015.scipy.org/ehome/115969/289057/?&
AstroHackWeek2015
Materials for the 2015 Astro Hack Week
pytexas2015-ml
Beginner's Guide to Machine Learning Competitions, PyTexas 2015
ESAC-Astrostatistics-School-
Lecture notes and exercises for the School celebrated at ESAC in 2014