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akwam-cli

A CLI (Command Line) based project to download movies, series, ... from https://old.akwam.co

ansible-osx

A battleschool ansible repository for osx

ask-sweden

HackForSweden Alexa skill

assignment3-math584

battleschool

Development environment provisioning using ansible, ala boxen -> puppet, kitchenplan -> chef

brute-force-plotter

Tool to visualize data quickly with no brain usage for plot creation

business-model-canvas-generator

Generate your business model canvas in the browser and save it to / load it from markdown files.

categorical-encoding

A library of sklearn compatible categorical variable encoders

cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

cookiecutter-django

A cookiecutter template for creating Django projects quickly.

cv_project

dashboards.ly

A drag-and-drop dashboard creator for Plotly graphs.

dask

Task scheduling and blocked algorithms for parallel processing

data-analysis-sample

Sample directory structure for a data analysis project in Python

data-science-toolbox

A collection of command-line tools that facilitate the obtaining, scrubbing, and exploring of data.

dataexplorer

Automate data exploration and treatment

docker-phabricator

Dockerfile with debian / mysql / phabricator

dotfiles

dovex

Data overview, visualization, and exploration for pre-analysis.

dqn-tensorflow

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

ds-template

Template for a data science project

editorconfig

A very generic .editorconfig file supporting .NET, C#, VB and web technologies.

end2end

:gem: Clean Jekyll theme

eyadsibai

fats

gitmarks_2

Gitmarks 2.0. is a peer to peer bookmarking tool.

how-to-predict-stock-prices-easily-demo

How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube

hydrat

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

ics-assignment

kaggledays-paris

Winning Solution to the Kaggle Days Paris offline competition