tsterbak

kernel_eca

Scikit-learn compatible Kernel Entropy Component Analysis in Python

machine-learning

Here I post some code about and for machine learning

Regularized-Greedy-Forest

A scikit-learn wrapper of the regularized greedy forest algorithm by [Johnson & Zhang, 2014].

scikit-stack

Implements scikit-learn wrappers for stacking.

auto-sklearn

computing-homology

Python code for the post "Computing Homology"

data-mcdonalds-nutritionfacts

Free, open source data set describing McDonalds Nutrition Facts for popular menu items in SQL, SQLite, JSON, Excel, OpenOffice Spreadsheet, Google Sheets, TSV, etc. Updated November 2015. :hamburger: :fries: :cookie: :cake:

lpproj

Scikit-learn compatible Locality Preserving Projections in Python

pgbart

Particle Gibbs for Bayesian Additive Regression Trees

PyMTL

PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-learn, SciPy and NumPy.

Python-ELM

Extreme Learning Machine implementation in Python

randomferns-python

Why Random Ferns? Because 10 lines of code [1].

rep

Machine Learning toolbox for Humans

scikit-learn

scikit-learn: machine learning in Python

sklearn-stub

A template for scikit-learn extensions

tensorflow

Computation using data flow graphs for scalable machine learning

vowpal_porpoise

lightweight python wrapper for vowpal wabbit