oddskool

aws_billing

AWS Detailed Billing CSV Parser & Reporting Tool

dgbrt

Distributed Gradient Boosted Regression Trees

invariant_risk_minimization_reproduced

Reproducing experiments & claims of Invariant Risk Minimization

scikit-learn

scikit-learn: machine learning in Python -- contribution fork

amz_eac

http://www.kaggle.com/c/amazon-employee-access-challenge/

bandits

Multi-armed bandits implementations and experiments

bandits-class

causal_bandits

causality-literature

causality_class

dumbo

Python module that allows one to easily write and run Hadoop programs.

hivernal

large-scale-ITE-UM-benchmark

libbandit

Library for Multi-Armed Bandit Algorithms

lightfm

A Python implementation of LightFM, a hybrid recommendation algorithm.

logtools

Command-line utilities for working with log files - filtering, sampling, IP-based geolocation, summary statistics etc.

lshtc

Code for playing with the Large Scale Hierarchical Text Classification challenge

mllib-samples

Sample code for evaluating Spark MLLib

oddskool.github.io

pelican-plugins

A bunch of plugins for the pelican blog engine.

pelican-themes

Themes for pelican

py-snippets

A collection of various kinds of Python bits and pieces. No big tools, just experiments.

pyboncoin

rtb-papers

A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.

scikit-uplift

:exclamation: uplift modeling in scikit-learn style in python :snake:

sequence_gan

Generative adversarial networks (GAN) applied to sequential data via recurrent neural networks (RNN).

spark

Mirror of Apache Spark

tourduqueyras3j

UnbalancedDataset

Python module to perform under sampling and over sampling with various techniques.

varan

varan : realtime twitter monitoring [master]