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alsing

Automatically exported from code.google.com/p/alsing

atari-ai

auto-sklearn

black-boxxy

Some experiments into explaining complex black box ensemble predictions.

classic-libqsearch

The qsearch Quartet Tree Search library for use with classic-complearn

cloudtogrid

Example of converting a 2d point cloud to a 2d grid via the assignment problem.

datos

Repositorio para Organización de Datos

deepboost

extremely-simple-one-shot-learning

Extremely simple one-shot learning in Python

google-safe-browsing

Automatically exported from code.google.com/p/google-safe-browsing

hodor-automl

Hodor AutoML: Brute-Bandit fast good-enough solutions to a wide range of machine learning problems.

hotdrink

Automatically exported from code.google.com/p/hotdrink

kaggle-criteo

Kaggle Criteo https://www.kaggle.com/c/criteo-display-ad-challenge

kaggle-decoding-the-human-brain

Python code to beat the benchmark for the Kaggle competition "Decoding the human brain" using Vowpal Wabbit

kaggle-ensemble-guide

Code for the Kaggle Ensembling Guide Article on MLWave

kaggle-papirusy-z-edhellond

Winning code for the "Papirusy z Edhellond" Kaggle in Class competition

kaggle_acquire-valued-shoppers-challenge

Code for the Kaggle acquire valued shoppers challenge

kaggle_connectomics

Python code for the Pearson Correlation Benchmark with Discretization to estimate brain connectivity from neuron activity

kaggle_rotten_tomatoes

Code to munge data between Kaggle .tsv Rotten Tomatoes Sentiment Analysis data set and Vowpal Wabbit

kepler-mapper-fork

koolmogorov

Koolmogorov is a Python library based on CompLearn

material-design-lite

Material Design Lite Components in HTML/CSS/JS

mlwave.github.io

Github Page for mlwave.com

nbsvm

Naive Bayes SVM for Sentiment Analysis

ncd_chess

Normalized Compression Distance and Chess Games

normalized-compression-neighbors

Document or binary file vectorization with Normalized Compression Distance in Python.

notebooks

general notebook repository

online-learning-perceptron

An online learning perceptron benchmark for Kaggle movie review competition

online-random-bit-regression-ftrl

Online Random Bit Regression with FTRL-Proximal in Python

rasterfairy

The purpose of Raster Fairy is to transform any kind of 2D point cloud into a regular raster whilst trying to preserve the neighborhood relations that were present in the original cloud. A typical use case is if you have a similarity clustering of images and want to show the images in a regular table structure.