aficionado/bigml-feature-subsets
Feature Subset Selection a la Kohavi and John, using BigML
Developer Profile
aficionado
Discovered public repositories for aficionado in the GitHub catalog.
aficionado/SimpleAintEasy
A compendium of the pitfalls and problems that arise when using standard statistical methods
aficionado/yalo
Lisp OS running on bare metal x86-64 hardware.
aficionado/moviepy
Script-based movie editing with python
aficionado/faker
Faker is a Python package that generates fake data for you.
aficionado/blog
Data, code, and scripts for the analysis in the Mode blog.
aficionado/nextactivity
Predicting Sean's next activity
aficionado/gherkin
a functional programming language and interpreter written in GNU Bash 4
aficionado/basis
Basis data, analysis, and visualization
aficionado/Everpix-Intelligence
Uncensored Everpix metrics, financials and slides for your perusing
aficionado/bigml-r
Simple R bindings for BigML.io
aficionado/bigml-csharp
C# bindings for BigML.io
aficionado/bigml-bash
Simple bash/curl bindings for BigML.io
aficionado/clj-bigml
Clojure bindings for the BigML.io API
aficionado/bigml-node
Bindings for node.js
aficionado/sampling
Random Sampling in Clojure
aficionado/histogram
Streaming Histograms for Clojure/Java
aficionado/json-pml
Schemas for JSON PML
aficionado/flatline
Documentation, examples and utilities for Flatlline, BigML's dataset transformation and generation language
aficionado/vim.js
JavaScript port of Vim
aficionado/samoa
SAMOA (Scalable Advanced Massive Online Analysis) is a distributed streaming machine learning (ML) framework that contains a programing abstraction for distributed streaming ML algorithms.
aficionado/jubatus
Framework and Library for Distributed Online Machine Learning
aficionado/data-science-toolbox
A collection of command-line tools that facilitate the obtaining, scrubbing, and exploring of data.
aficionado/scikit-learn
scikit-learn: machine learning in Python
aficionado/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming in data analysis with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
aficionado/d3-colorlegend
color legend for use with d3js
aficionado/passion-project-slides
Slides for my Passion Projects talk on Machine Learning and JS
aficionado/kittydar
Face detection for cats in JavaScript - demo for a TXJS talk
aficionado/push
Public repository.
aficionado/push-mac
Public repository.
aficionado/indultometro
El indultómetro
aficionado/twitter
Python Twitter API
aficionado/python-oauth2
A fully tested, abstract interface to creating OAuth clients and servers.
aficionado/json2csv
command line tool to convert json to csv
aficionado/bigmler
A higher-level API to BigML's API
aficionado/sh
Python subprocess interface
aficionado/pixeltable
This replicates images in pure HTML by creating tables of pixel-sized cells.
aficionado/Netflix-Prize
The code I used to get in the top #150 in the Netflix Prize
aficionado/monner
monner
aficionado/big_ml
A Ruby wrapper for the BigML REST API
aficionado/python
Simple Python bindings for BigML.io
aficionado/pygments-json
Better JSON highlighting for pygments
aficionado/aficionado.github.com
github aficionado
aficionado/slumber
A library that makes consuming a RESTful API easier and more convenient
aficionado/boto
Python interface to Amazon Web Services
aficionado/haproxy-autoscale
A wrapper for haproxy that handles auto-scaling EC2 instances.
aficionado/storm-deploy
One click deploy for Storm clusters on AWS
aficionado/storm
Distributed and fault-tolerant realtime computation: stream processing, continuous computation, distributed RPC, and more
aficionado/storm-kestrel
Library to use Kestrel as a spout within Storm
aficionado/storm-starter
Learn to use Storm!