ericjster

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.).

dataanalysis

The lecture slides for Coursera's Data Analysis class

deap

Distributed Evolutionary Algorithms in Python

go_test_string_const

go experiment to test if string is one of a set of constants

gostreamer

go package for playing with the gstreamer cli

mahotas

Computer Vision in Python

matplotlib

matplotlib: plotting with Python

milk

MILK: Machine Learning Toolkit

nlopt

library for nonlinear optimization, wrapping many algorithms for global and local, constrained or unconstrained, optimization

Optimization_SCE

optimization algorithm SCE

optunity

optimization routines for hyperparameter tuning

pgbouncer

lightweight connection pooler for PostgreSQL

pyasa

These are Cython based bindings for Lester Ingber's Adaptive Simulated Annealing. http://www.ingber.com/#ASA

pymoo

NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO

scikit-learn

scikit-learn: machine learning in Python

scipy

Scipy main repository

simplestat

golang simple stats

sklearn-deap

Use evolutionary algorithms instead of gridsearch in scikit-learn

timeout

A script to measure and limit CPU time and memory consumption of black-box processes in Linux

tombstone_counter

wifilocator

Investigate finding wifi AP location using sampled RSS.

ZedGraph

Graphing Library for .NET