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followers: 153.0 following: 199.0 repos: 22.6K gists: 68.0

Name: Kevin Hatfield

Type: User

Company: CloudCDN

Bio: Former creator of ethProxy DDoS Protection Former Founder of ServerOrigin Communications, Inc. Former VP IT - Level3

Kevin Hatfield's Projects

crystalliser-bot

Port of my crystalliser processing sketch to python to run as a twitter bot. Original, I know

cs188_team4

CS188 Project: DDos implementation and detection

cs273a-introduction-to-machine-learning

Introduction to machine learning and data mining How can a machine learn from experience, to become better at a given task? How can we automatically extract knowledge or make sense of massive quantities of data? These are the fundamental questions of machine learning. Machine learning and data mining algorithms use techniques from statistics, optimization, and computer science to create automated systems which can sift through large volumes of data at high speed to make predictions or decisions without human intervention. Machine learning as a field is now incredibly pervasive, with applications from the web (search, advertisements, and suggestions) to national security, from analyzing biochemical interactions to traffic and emissions to astrophysics. Perhaps most famously, the $1M Netflix prize stirred up interest in learning algorithms in professionals, students, and hobbyists alike. This class will familiarize you with a broad cross-section of models and algorithms for machine learning, and prepare you for research or industry application of machine learning techniques. Background We will assume basic familiarity with the concepts of probability and linear algebra. Some programming will be required; we will primarily use Matlab, but no prior experience with Matlab will be assumed. (Most or all code should be Octave compatible, so you may use Octave if you prefer.) Textbook and Reading There is no required textbook for the class. However, useful books on the subject for supplementary reading include Murphy's "Machine Learning: A Probabilistic Perspective", Duda, Hart & Stork, "Pattern Classification", and Hastie, Tibshirani, and Friedman, "The Elements of Statistical Learning".

cs312

Class site and slides for CS312 at Oregon State University

cs440

Artificial Intelligence

cs557refmon

Secure distributed filesystem with a reference monitor for class. May be extended for different functionality in the next project.

cs639

Distributed file system

csbill

CSBill is an open-source application that allows you to manage clients and contacts and send invoices and quotes.

csc322

Game recommendation engine + online shop for CCNY Software Engineering course

csci4471-midterm

Take Home Midterm 3 for CSCI 4471 Computer Graphics

cscp

Continuous ssh copy

csec-alarm

Rogue wireless access point detector

csf-post-docker

CSF with support for Docker

csf-vestacp

Install CSF + Use it's GUI in VestaCP

csfirewall

Opscode Chef cookbook to set cloudstack firewall rules form roles / node attributes

csh-webnews

Web-based NNTP client for Computer Science House at RIT.

csp

Tcl library for Golang style concurrency based on Communicating Sequential Processes

csrf

gorilla/csrf provides Cross Site Request Forgery (CSRF) prevention middleware for Go web applications & services.

csrf-nginx-redis-lua

A simple nginx conf file to allow your backend (Varnish, Apache Traffic Server, etc) to not worry about CSRF tokens and put the onus on the front (nginx) instance

css434-project4

Distributed Filesystem (DFS) client and server, implemented in Java

css_javascript_toolbox

asily add custom CSS, JavaScript, HTML and PHP code To Heeder , Body , Footer.

cssed

Cloudflare ScrapeShield Email Deobfuscator

cssh

Tool to connect to / automate (via ssh only) Cisco switches and accesspoints

cst336

online repo of work

cstore

Camlistore front-end (Backed by S3)

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