Phil Puglisi's starred repositories
Kalman-Filters
Kalman filtering, also known as linear quadratic estimation (LQE), is an algorithm that uses a series of measurements observed over time, containing statistical noise and other inaccuracies, and produces estimates of unknown variables that tend to be more accurate than those based on a single measurement alone, by estimating a joint probability distribution over the variables for each timeframe. The filter is named after Rudolf E. Kálmán, one of the primary developers of its theory.
cosmos-sdk
:chains: A Framework for Building High Value Public Blockchains :sparkles:
pro-asp.net-core-6
Source Code for 'Pro ASP.NET Core 6' by Adam Freeman