Results for impliments

Proc macro for generating implimentations of Display and FromStr for Enum Variants

Simple implimentation for interfacing with the dht11 sensor to retrieve temperature and humidity

this is a pure rust implimentation to get google cloud access token for servers with service account credentials.

A logging system for rust that is trying to be as easy as possiable to impliment

a meld client written in Rust

Constant/fixed/invariant time aes implimentation (originally from Linux)

Rust implimentation for Bitgo api

Rust implimentation for API

an implimentation of a directed bijective connection graph

A concurrent SPMC item reuse implimentation

an implimentation of a directed bijective connection graph

an implimentation of hyper cube

http://wikipedia.com/wiki/Interval_tree

Virtual DOM implimentation in Ruby using Opal

Implimentation of ActiveModel pattern and a fixture loader

Create null classes based upon other classes. This allows you to create null objects without resorting to method_missing to catch every message passed regardless of the behavior you designed in your other classes.

Ruby implimentation of how brain works.

Noisy sensor data, approximations in the equations that describe the system evolution, and external factors that are not accounted for all place limits on how well it is possible to determine the system's state. The Kalman filter deals effectively with the uncertainty due to noisy sensor data and to some extent also with random external factors. The Kalman filter produces an estimate of the state of the system as an average of the system's predicted state and of the new measurement using a weighted average. The purpose of the weights is that values with better (i.e., smaller) estimated uncertainty are "trusted" more. The weights are calculated from the covariance, a measure of the estimated uncertainty of the prediction of the system's state. The result of the weighted average is a new state estimate that lies between the predicted and measured state, and has a better estimated uncertainty than either alone. This process is repeated at every time step, with the new estimate and its covariance informing the prediction used in the following iteration. This means that the Kalman filter works recursively and requires only the last "best guess", rather than the entire history, of a system's state to calculate a new state.

FlavourSaver is a pure-ruby implimentation of the Handlebars templating language

OpenID implimentation for NFG Rails apps

Git a wiki with it is a plugin for rails that add simple wikis implimented in git

A circular buffer, cyclic buffer or ring buffer is a data structure that uses a single, fixed-size buffer as if it were connected end-to-end. This structure lends itself easily to buffering data streams. This library impliments such a buffer.

This is a collection of extensions to Rails internals that I've found to be absolutely indispensible since I implimented them. The real action is happening in the following two files at the moment: http://github.com/brendan/entrails/tree/master/lib/entrails/active_record/better_conditions.rb http://github.com/brendan/entrails/tree/master/lib/entrails/active_record/find_by_association.rb