carlos-gg

Carlos A Gomez Gonzalez's starred repositories

keras

Deep Learning for humans

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caffe

Caffe: a fast open framework for deep learning.

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tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

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machine-learning-cheat-sheet

Classical equations and diagrams in machine learning

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imutils

A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.

Language:PythonMIT4534 152 176

pattern_classification

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

Language:Jupyter NotebookGPL-3.04142 387 3

scikit-learn-videos

Jupyter notebooks from the scikit-learn video series

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elements-of-python-style

Goes beyond PEP8 to discuss what makes Python code feel great. A Strunk & White for Python.

3447 123 33

matplotlib_for_papers

Handout for the tutorial "Creating publication-quality figures with matplotlib"

Language:Jupyter NotebookNOASSERTION2132 72 7

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.).

Language:RMIT1871 148 45

Python-for-Signal-Processing

Notebooks for "Python for Signal Processing" book

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emcee

The Python ensemble sampling toolkit for affine-invariant MCMC

Language:PythonMIT1464 86 293

Theano-Tutorials

Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano.

Language:PythonMIT1271 100 13

scikit-neuralnetwork

Deep neural networks without the learning cliff! Classifiers and regressors compatible with scikit-learn.

Language:PythonBSD-3-Clause1205 75 173

astroML

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

Language:PythonBSD-2-Clause1053 96 156

DAT7

General Assembly's Data Science course in Washington, DC

Language:Jupyter Notebook231 28 1

PyMultiNest

Pythonic Bayesian inference and visualization for the MultiNest Nested Sampling Algorithm and PyCuba's cubature algorithms.

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sep

Python and C library for source extraction and photometry

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image_registration

Image Registration for Astronomy

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best

Bayesian estimation supersedes the t test

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StatisticalMethods

Course notes and resources for Stanford University graduate course PHYS366: Statistical Methods in Astrophysics

Language:Jupyter NotebookNOASSERTION112 15 121

kcbo

A Bayesian testing framework written in Python.

Language:PythonMIT95 9 1

nestle

Pure Python, MIT-licensed implementation of nested sampling algorithms for evaluating Bayesian evidence.

Language:PythonNOASSERTION75 12 18

VIP

VIP is a python package/library for angular, reference star and spectral differential imaging for exoplanet/disk detection through high-contrast imaging.

Language:PythonMIT70 19 122

scipy-2015-cython-tutorial

Content for the SciPy 2015 Cython tutorial: http://www.scipy2015.scipy.org/ehome/115969/289057/?&

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AstroHackWeek2015

Materials for the 2015 Astro Hack Week

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pytexas2015-ml

Beginner's Guide to Machine Learning Competitions, PyTexas 2015

29 5 1

ESAC-Astrostatistics-School-

Lecture notes and exercises for the School celebrated at ESAC in 2014

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